Behavioral origin of sound-evoked activity in mouse visual cortex — TEI-tagged view

Bimbard, Sit, Lebedeva, Reddy, Harris, Carandini · 2023 · neuroscience · doi:10.1038/s41593-022-01227-x · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (xml); every evidence string verified as an exact substring of that text before merging. Claim type 'mechanism' captures the paper's positive explanation (movement/internal state produces the activity); the paper also carries a strong null-result component (transectomy did not reduce sound-evoked activity in V1) and a critique of the multisensory interpretation of prior work, neither of which the single-valued facet can hold. Method is 'electrophysiology' (Neuropixels in V1 and hippocampal formation) but the design also includes videography/facemap movement tracking, encoding-model fitting, and anatomical transectomy with Allen Connectivity Atlas fibre reconstruction. Replication status is 'contested' because the paper itself reports that its central result conflicts with the previously published transectomy study while agreeing only partially with a layer-1 whisking study. Prior work is cited numerically, so claim_relation targets are described rather than named by author. 2026-08-13 and 2026-08-15 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
61 quotations on this page contain a reference number where the paper printed a superscript. This journal style prints citations as raised numerals — parameters12,13 — and the extraction flattened them into the line, so the sentence reads parameters 12 , 13 . The digits are citation markers and not part of what the author wrote. The quotes keep them for the same reason they keep every other extraction fault: a quote is reproduced exactly or it proves nothing.
Other fields define these differently the same word, defined another way in another discipline
control 43 fields · bias 38 fields · prediction 24 fields · accuracy 9 fields · reliability 5 fields · model 4 fields · and 5 more →
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
multisensory6 sound5 video V16 visual cortex9 auditory cortex19 hippocampal formation2 projection2 fiber2 transectomy cut movement5 whisker2 behavior19 internal state pupil2 spontaneous6 dimension3 low-dimensional2 high-dimensional3 PC12 variance54 cvPCA interaction4 decoding8 accuracy16 correlation108 stereotyped2 model22 auditory model behavioral model2 full model prediction10 subspace trial3 neuron13 layer4 two-photon7 threshold21 fraction control11 bias19 ISI2 reliability12 stimulus13 electrophysiology110

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonsound-evoked activity in visual cortex— “Sounds evoke activity in visual cortex.”
claim-typemechanism— “Thus, neural activity that is apparently multisensory may simply arise from low-dimensional signals associated with internal state and behavior.”
method — evidence— “Here we show that the activity evoked by sounds in V1, measured with Neuropixels probes, is stereotyped across neurons and even across mice.”
object of study — evidence— “Here we consider a possible alternative explanation for these multisensory signals, based on low-dimensional changes in internal state and behavior 8 , 9 . Behavioral and state signals have profound effects on sensory areas. For instance, the activity of V1 neurons carries strong signals related to running 10 , 11 , pupil dilation 11 , 12…
research question — evidence— “This hypothesis predicts that sound-evoked activity in V1 should have the typical attributes of behavioral signals: low dimension 13 and a broad footprint 14 , 21 , 22 that extends beyond the cortex 13 . Moreover, sound-evoked activity should be independent of direct inputs from auditory cortex and should be predictable from the behavioral…
contribution — evidence— “Sensory cortices can be affected by stimuli of multiple modalities and are thus increasingly thought to be multisensory. For instance, primary visual cortex (V1) is influenced not only by images but also by sounds. Here we show that the activity evoked by sounds in V1, measured with Neuropixels probes, is stereotyped across neurons and even…
transferfrom movement and state neurophysiology: the low dimension and brain-wide footprint of behavioral signals, used here as a diagnostic signature— “This hypothesis predicts that sound-evoked activity in V1 should have the typical attributes of behavioral signals: low dimension 13 and a broad footprint 14 , 21 , 22 that extends beyond the cortex 13 . Moreover, sound-evoked activity should be independent of direct inputs from auditory cortex and should be predictable from the behavioral…transfers[0]
transferfrom factorial analysis of variance: the marginalisation that separates video-related from sound-related components— “We then identified the visual and auditory components of each neuron’s sensory response. A typical V1 neuron responded differently to different combinations of videos and sounds (Fig. 1a ). To characterize these responses, we used a marginalization procedure similar to factorial ANOVA. To measure the neuron’s video-related responses (Fig. 1b…transfers[1]
transferfrom high-dimensional visual coding: cross-validated principal component analysis, and the contrast with a high-dimensional image code— “The arrays of sound-related activity A , of video-related activity V and of audiovisual interactions I describe the activity of many neurons. To summarize this activity, we used cvPCA 15 . In this approach, principal component projections are found from one-half of the data, and an unbiased estimate of the reliable signal variance is found by…transfers[2]
transferfrom connectomics: a published fiber atlas, used to estimate what fraction of the projection the cut actually removed— “To estimate the extent of the fibers that were cut by the transectomy, we took advantage of the large-scale connectivity database of experiments performed by the Allen Brain Institute (Allen Mouse Brain Connectivity Atlas 26 , https://connectivity.brain-map.org/ ). Using custom Python scripts, we selected and downloaded the 53 experiments…transfers[3]
mechanismSounds change the animal's internal state, which simultaneously drives uninstructed body movements and a widespread low-dimensional modulation of cortical (and hippocampal) activity; the apparent multisensory response is that state signal, not an auditory input.— “Our results do not imply that cortical activity is directly due to body movements; instead, cortical activity and body movements may both arise from changes in the internal state.”mechanisms[0]
mechanismSound-evoked V1 activity is generated by sound-triggered changes in internal and behavioral state rather than by auditory-cortical projections.— “This suggests that the activity evoked by sounds in visual cortex is driven by changes in internal and behavioral state.”mechanisms[1]
mechanismsounds elicit small uninstructed movements, mainly whisker twitches, which are stereotyped across trials and mice and different for each sound— “Sounds evoked uninstructed body movements that were small but stereotyped across trials and mice and different across sounds. To measure body movements, we used a wide-angle camera that imaged the head, front paws and back (Fig. 4a ). Sounds evoked a variety of uninstructed movements, ranging from rapid startle-like responses <50 ms after…mechanisms[2]
mechanismand the movement precedes the neural activity by a few tens of milliseconds, even with no stimulus present— “Moreover, the neural activity along auditory PC1 correlated with movements even during spontaneous behavior, when no stimulus was presented ( r = 0.29 ± 0.03, s.e.; Fig. 4g,h ). Movement preceded neural activity by a few tens of milliseconds”mechanisms[3]
mechanismthe subspace of activity predictable from movement during spontaneous behavior overlaps the sound-related subspace far more than the video-related one— “To define the behavioral subspace, we applied reduced-rank regression to predict neural activity from movements during the spontaneous period (in the absence of stimuli). This behavioral subspace largely overlapped with the auditory subspace: the first four components of the movement-related subspace explained 75 ± 3% (s.e.; P < 0.05 for…mechanisms[4]
mechanismand the paper stops short of a direct cause - cortical activity and body movements may both arise from changes in the internal state instead— “Our results do not imply that cortical activity is directly due to body movements; instead, cortical activity and body movements may both arise from changes in the internal state. Consistent with this view, we found that sound-evoked activity in V1 is low-dimensional, and thus different from the high-dimensional representation of visual…mechanisms[5]
contradicts studies ascribing sound-evoked V1 activity to direct input from auditory cortex— “This result contrasts those of studies that ascribed the activity evoked by sounds in V1 to a direct input from auditory cortex.”claim_relations[0]
contradicts the original study that introduced the auditory-to-visual transectomy— “This result contrasts with the original study that introduced the transectomy 2 , and the difference in results may be due to differences in methods.”claim_relations[1]
replicates the study of whisking contributions to sound-evoked activity in layer 1 V1 neurons— “In agreement with our results, this study found that whisking explains a fraction of those neurons’ sound-evoked activity.”claim_relations[2]
reinterprets sound-evoked activity in visual cortex, as a signal of movement and internal state rather than an auditory input— “These results confirm that sounds evoke activity in visual cortex 2 – 7 but provide an alternative interpretation for this activity based on the widespread neural correlates of internal state and body movement 10 , 12 – 14 , 27 . We found that different sounds evoke different uninstructed body movements such as whisking, which reflect rapid…claim_relations[3]
contradicts the study that introduced the transectomy and found the activity abolished, with three method differences named— “This result contrasts with the original study that introduced the transectomy 2 , and the difference in results may be due to differences in methods. First, the previous study was conducted intracellularly and mostly in layers 2/3 (where sounds hyperpolarized cells, unlike in other layers where sounds increased spiking), whereas we recorded…claim_relations[4]
qualifies an earlier report that whisking explains only a fraction of sound-evoked activity, by pointing at its hard threshold— “An exception is a study 20 that explored the contribution of whisking to sound-evoked activity V1 neurons in layer 1. In agreement with our results, this study found that whisking explains a fraction of those neurons’ sound-evoked activity. However, it did not explain all the neural activity. This discrepancy could be due to differences in…claim_relations[5]
confirms the reported low dimension and brain-wide footprint of movement-related activity— “To define the behavioral subspace, we applied reduced-rank regression to predict neural activity from movements during the spontaneous period (in the absence of stimuli). This behavioral subspace largely overlapped with the auditory subspace: the first four components of the movement-related subspace explained 75 ± 3% (s.e.; P < 0.05 for…claim_relations[6]
generalises the behavioural explanation to other multisensory findings, since images and odors also elicit stereotyped movements— “Finally, these observations suggest that changes in states or behavior may also explain other aspects of neural activity that have been previously interpreted as being multisensory 9 . Stereotyped body movements can be elicited not only by sounds 16 – 19 but also by images 32 – 36 and odors 33 , 37…claim_relations[7]
critiques the controls used in passively listening mice, as rarely systematic enough to separate auditory from behavioral signalsclaim_relations[8]
senseAN APPARENTLY MULTISENSORY SIGNAL EXPLAINED AWAY BY behavior: neural activity that is apparently multisensory MAY SIMPLY ARISE from low-dimensional signals associated with internal state and behavior
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senses[0]
senseand the account being replaced is stated first, with its evidence - suppression by inhibiting auditory cortex, mimicry by stimulating auditory fibers
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senses[1]
senseTHE HYPOTHESIS IS TURNED INTO FOUR ADVANCE PREDICTIONS: low dimension, a broad footprint beyond the cortex, independence from auditory input, and predictability from behavior
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senses[2]
senseTHREE MODELS, AND THE RANKING IS THE FINDING: one from sound identity alone, one from movement alone, one from both - and the behavioral model performs JUST AS WELL as the full model
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senses[3]
sensewith the auditory model's built-in advantage disclosed - it is equivalent to a test-retest prediction and would fit perfectly with infinite trials, so it performs well REGARDLESS of the origin of the activity
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senses[4]
senseTHE MANIPULATION WAS CHOSEN FOR WHAT IT DOES NOT DISTURB: silencing or stimulating auditory cortex would interfere with auditory processing and could affect the sound-evoked behavior, so the fibres were cut instead
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senses[5]
senseand the control is INSIDE the animal - bilateral recording, the uncut side, the same mouse and the same behavior
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senses[6]
senseTHREE METHOD DIFFERENCES ENUMERATED WHERE THE RESULT CONTRADICTS THE STUDY THAT INTRODUCED THE SAME CUT: intracellular in layers 2/3 against extracellular in layers 4-6, hours against days after surgery, and anesthetized against awake
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senses[7]
senseAND A THRESHOLD AGAINST A FRACTION: the earlier whisking study used a hard threshold to call a response auditory or movement-related, where this one estimated the fraction explained
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senses[8]
senseTHE DIMENSIONALITY OF THE RESPONSE IS USED TO CLASSIFY WHAT KIND OF SIGNAL IT IS: four significant components for sounds against seventy-nine for videos, and zero for their interaction
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senses[9]
sensewith a between-animal correlation reported against its own within-animal ceiling - 0.34 across mice against a test-retest of 0.44 within them
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senses[10]
senseA SELECTION STEP CHECKED AGAINST THE RESULT IT COULD HAVE PRODUCED: the reliability of auditory responses did not correlate with the spike-contamination score, and if anything went the other way
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senses[11]
senseA WHOLE LITERATURE'S CONTROLS DECLARED INADEQUATE: distinguishing auditory signals from state and behavior requires careful and systematic controls, WHICH ARE RARELY PERFORMED in passively listening mice
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senses[12]
senseand the correlation is not claimed as causation - cortical activity and body movements may BOTH arise from changes in the internal state
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senses[13]
sensewith the same suspicion extended outward - stereotyped movements are elicited by images and odors too, so other multisensory findings may have the same origin
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senses[14]
controla ridge regression of the auditory PC1 on the motion PCs, run alongside the cross-correlogram — held — rules out the AUTOCORRELATION of the two signals as the source of an apparently large cross-correlation - two slow signals correlate at long lags whether or not they are related
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controls[0]
differs inthe study that introduced the transectomy and found the activity abolished, with three method differences named — the recording mode and the layer: THE PREVIOUS STUDY WAS CONDUCTED INTRACELLULARLY AND MOSTLY IN LAYERS 2/3 (WHERE SOUNDS HYPERPOLARIZED CELLS, UNLIKE IN OTHER LAYERS WHERE SOUNDS INCREASED SPIKING), WHEREAS WE RECORDED EXTRACELLULARLY MAINLY IN LAYERS 4-6
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claim_relations[4]
differs inan earlier report that whisking explains only a fraction of sound-evoked activity, by pointing at its hard threshold — the recording technique: THIS DISCREPANCY COULD BE DUE TO DIFFERENCES IN RECORDING METHODS (TWO-PHOTON IMAGING VERSUS ELECTROPHYSIOLOGY), on a point where the two studies otherwise agree
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claim_relations[5]
differs inthe controls used in passively listening mice, as rarely systematic enough to separate auditory from behavioral signals — which movements were controlled for: SOME STUDIES HAVE CONTROLLED FOR EYE MOVEMENTS OR FOR OVERT BEHAVIORS SUCH AS LICKING. HOWEVER, EVEN THESE STUDIES MAY HAVE OVERLOOKED THE TYPES OF MOVEMENT THAT WE OBSERVED
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claim_relations[8]
auditmultisensory —distinct-from→ internal state — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span offers internal state as an alternative explanation of multisensory signals; distinct-from is loose.
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concept_edges[0]
notemultisensory —distinct-from→ internal state — AN APPARENTLY MULTISENSORY SIGNAL EXPLAINED AWAY: it MAY SIMPLY ARISE from low-dimensional signals associated with internal state and behavior
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concept_edges[0]
auditsound —causes→ V1 — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says V1 is influenced by sounds; causes 'V1' names a region, not an effect.
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concept_edges[1]
edgelow-dimensional —contrasted-with→ high-dimensional
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concept_edges[3]
auditbehavior —causes→ multisensory — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span offers behaviour as an alternative explanation; causes is loose.
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concept_edges[6]
notebehavior —causes→ multisensory — the alternative offered explicitly as an alternative EXPLANATION, before any of its own data
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concept_edges[6]
auditvideo —contrasted-with→ sound — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span decomposes responses into visual and auditory components; contrasted-with is loose.
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concept_edges[11]
notevideo —contrasted-with→ sound — separated by a marginalisation borrowed from factorial analysis of variance, each averaged over the other and referred to the grand mean
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concept_edges[11]
auditcvPCA —operationalised-as→ PC1 — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but PC1 is the first component FOUND BY cvPCA; operationalised-as is loose.
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concept_edges[14]
auditintracellular —contrasted-with→ extracellular — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span notes the earlier study was intracellular; the contrast is implied.
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concept_edges[27]
auditwhisker —is-a→ movement — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span images whisker and body movements; is-a is loose.
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concept_edges[28]
notewhisker —is-a→ movement — subtle whisker twitches, quantified as the first component of facial motion energy
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concept_edges[28]
differs inauditory model —contrasted-with→ behavioral model — THE AXIS IS WHETHER THE MODEL CAN DISCRIMINATE THE ORIGIN OF THE ACTIVITY. 'THE FIRST WAS A purely auditory model where the time course of neural activity depends only on sound identity. This model is EQUIVALENT TO A TEST-RETEST PREDICTION, so it will perform well regardless of the origin of sound-evoked activity.' A model that cannot fail is not evidence, and the authors say so about their own first model before using the others. Same shape as a row of Desimone1996 in this same batch.
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concept_edges[34]
noteauditory model —contrasted-with→ behavioral model — AND THE AUDITORY MODEL'S BUILT-IN ADVANTAGE IS DISCLOSED: it is equivalent to a test-retest prediction and would fit perfectly with infinite trials, so it performs well REGARDLESS of the origin of the activity
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concept_edges[34]
auditpupil —part-of→ behavioral model — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but pupil is one input to the behavioural model; part-of is loose.
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concept_edges[36]
auditsound —distinct-from→ behavior — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says the sounds were unnecessary and the movements sufficient to predict V1 activity; distinct-from is loose.
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concept_edges[38]
differs insound —distinct-from→ behavior — THE AXIS IS NECESSITY VERSUS SUFFICIENCY FOR PREDICTING THE ACTIVITY. 'This analysis revealed that the sounds themselves were unnecessary to predict sound-evoked activity in visual cortex, whereas the body movements elicited by sounds were sufficient.' The two are separated not by what they are but by their standing in one prediction, and the paper's title claim rests entirely on that asymmetry.
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concept_edges[38]
auditmovement —distinct-from→ internal state — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says movement and cortical activity may both arise from internal state; distinct-from is loose.
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concept_edges[46]
notemovement —distinct-from→ internal state — THE CORRELATION IS NOT CLAIMED AS CAUSATION: cortical activity and body movements may BOTH arise from changes in internal state, which also covers the anesthetized case where movement is impossible
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concept_edges[46]
weightmovement —distinct-from→ internal state — 0.8
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concept_edges[46]
noteV1 —same-as→ visual cortex — used interchangeably throughout, with the recording sites pooled under the second name
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concept_edges[55]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — the negative conclusion about auditory input: OUR FINDINGS DO NOT EXCLUDE THE POSSIBILITY OF GENUINE AUDITORY SIGNALS INHERITED BY VISUAL CORTEX FROM AUDITORY CORTEX
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limitations[0]
for which uselimitation — any comparison with the earlier conflicting layer 2/3 results: OUR V1 RECORDINGS WERE BIASED TOWARD LAYERS 4-6
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limitations[1]
for which uselimitation — the same negative conclusion, from the sampling side: IT IS ALSO POSSIBLE THAT AUDITORY PROJECTIONS AFFECT ONLY A MINOR FRACTION OF V1 NEURONS, OR THAT THEY AFFECT NEURONS THAT DO NOT FIRE AT HIGH RATES, AND THAT WE MISSED THESE NEURONS IN OUR RECORDINGS
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limitations[2]
for which uselimitation — the claim that facial movement predicts the activity well: IT IS POSSIBLE THAT MOVEMENTS OF OTHER BODY PARTS, OR MORE COMPLEX ANALYSES, WOULD PROVIDE EVEN BETTER PREDICTIONS OF THE NEURAL ACTIVITY ELICITED BY SOUNDS
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limitations[3]
for which uselimitation — the behavioural-origin conclusion, bounded by the paper itself: THESE RESULTS SUGGEST THAT, AT LEAST IN OUR EXPERIMENTS, THE SOUND-EVOKED ACTIVITY HAD A BEHAVIORAL ORIGIN
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limitations[4]
for which uselimitation — the same scope as limitations[0], with the anatomy: PROJECTIONS FROM AUDITORY TO VISUAL CORTEX EXIST AND MAY CARRY AUDITORY SIGNALS FOR OTHER stimuli or contexts
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limitations[5]
for which uselimitation — the prediction result: ALL THE MOVEMENTS WE MEASURED ARE IN THE FACE, AND OUR ANALYSES ARE LINEAR
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limitations[6]
for which uselimitation — the disagreement with the transectomy study: THE PREVIOUS STUDY WAS CONDUCTED INTRACELLULARLY AND MOSTLY IN LAYERS 2/3, against extracellular recording in layers 4-6 here
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limitations[7]
for which uselimitation — the comparison with the whisking study, which agrees in part: IN AGREEMENT WITH OUR RESULTS, THIS STUDY FOUND THAT WHISKING EXPLAINS A FRACTION OF THOSE NEURONS' SOUND-EVOKED ACTIVITY
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limitations[8]
replicationcontested
no type for thismovement → neural activity — CORRELATION WITH A STATED LEAD-LAG, and no type for it. Auditory PC1 activity correlated with movement during spontaneous behaviour (r = 0.29 +/- 0.03 s.e.), and movement PRECEDED neural activity by a few tens of milliseconds. Recording this as 'causes' in either direction overstates it; recording it as nothing loses a measured result with its direction. Replaces the retracted concept_edges[32], which pointed the other way.
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unhoused_relations[0]
no type for thisinternal state → behavior — CO-ORDINATE, NOT CAUSAL. The paper names them as a pair every time - 'low-dimensional changes in internal state and behavior', 'behavioral and state signals have profound effects on sensory areas', 'these behavioral and state signals are low-dimensional and largely orthogonal'. Both are offered as joint explanations of the multisensory signals, and movement is an instance of the behavioural half. No edge type can record that two things occupy the same role.
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unhoused_relations[1]
no type for thisbody movements → multisensory — THE PAPER'S ACTUAL CLAIM, WHICH THE RETRACTED EDGE INVERTED: stereotyped body movements are elicited by sounds, images and odours, and those movements EXPLAIN neural activity previously interpreted as multisensory. In their own experiments video-evoked responses in hippocampal formation 'could be largely explained by video-evoked body movements'.
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unhoused_relations[2]
no type for thissound-evoked activity → hippocampal formation — THE ACTIVITY RESEMBLES, NOT THE REGIONS: sound-evoked activity in V1 is stereotyped across neurons and mice, independent of auditory-cortex projections, and RESEMBLES activity evoked in the hippocampal formation - which receives little direct auditory input. The paper's account is that both reflect small stereotyped body movements, so the resemblance is evidence of a COMMON CAUSE and not of any identity between V1 and the hippocampal formation.
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unhoused_relations[3]
limitationThe results do not rule out genuine auditory signals reaching visual cortex from auditory cortex.
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limitations[0]
limitationRecordings sampled mainly deep layers, not layer 2/3 where earlier conflicting results were obtained.
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limitations[1]
limitationAuditory projections might affect only a small or low-firing subset of V1 neurons that these recordings missed.
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limitations[2]
limitationOnly facial movements were measured and only with linear analyses; other body parts or richer models could predict the neural activity better.
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limitations[3]
limitationThe behavioral-origin conclusion is scoped to these experiments.
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limitations[4]
limitationgenuine auditory signals are not excluded - the projections exist and may carry them for other stimuli or contexts, or affect neurons the recordings missed
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limitations[5]
limitationonly facial movements were measured and the analyses are linear, so other body parts or better analyses could predict even more
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limitations[6]
limitationthe disagreement with the study that introduced the same cut cannot be settled here, and three method differences are offered instead
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limitations[7]
limitationand the disagreement with the whisking study is likewise attributed to recording method, layer, and an analysis that used a hard threshold where this one estimated a fraction
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limitations[8]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingThe population activity that sounds evoke in mouse V1 is so stereotyped across neurons that it is essentially one-dimensional.
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content_tags.findings[0]
findingSound-evoked activity in the hippocampal formation is remarkably similar to that in visual cortex.
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content_tags.findings[1]
findingThe sound-evoked activity in visual cortex in these experiments cannot be explained by direct inputs from auditory cortex.
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content_tags.findings[2]
findingA model using only sound-elicited body movements predicted sound-evoked V1 activity as well as a model that also had access to sound identity.
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content_tags.findings[3]
findingThe sound-elicited movements lead the neural activity in time, consistent with movement (or the state driving it) preceding the cortical signal.
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content_tags.findings[4]
findingSounds evoked small but highly reproducible uninstructed body movements that differed between sounds.
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content_tags.findings[5]
findingThe population response showed no significant components for interactions between videos and sounds.
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content_tags.findings[6]
findingAN APPARENTLY MULTISENSORY SIGNAL EXPLAINED AWAY BY behavior: it MAY SIMPLY ARISE from low-dimensional signals of internal state and behavior
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content_tags.findings[7]
findingwith the account being replaced stated first, including its evidence from silencing and from stimulating auditory fibers
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content_tags.findings[8]
findingthe alternative is offered explicitly as an alternative explanation, before any of the paper's own data
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content_tags.findings[9]
findingTHE HYPOTHESIS IS TURNED INTO FOUR ADVANCE PREDICTIONS: low dimension, a footprint beyond cortex, independence from auditory input, predictability from behavior
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content_tags.findings[10]
findingand all four are then reported as met, in the order they were stated
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content_tags.findings[11]
findingvideo and sound components are separated by a marginalisation borrowed from factorial analysis of variance
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content_tags.findings[12]
findingsound identity is decodable from single trials at 18% against a chance of one in twelve, and video identity at 95%
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content_tags.findings[13]
findingthe sound-evoked activity is essentially ONE-DIMENSIONAL, one component carrying 55% of the sound-related variance
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content_tags.findings[14]
findingA BETWEEN-ANIMAL CORRELATION REPORTED AGAINST ITS OWN WITHIN-ANIMAL CEILING: 0.34 across mice against a test-retest of 0.44 within them
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content_tags.findings[15]
findingwhile the video-evoked activity is larger and much higher dimensional
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content_tags.findings[16]
findingthe same probe reached the hippocampal formation, which receives little input from auditory cortex or thalamus
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content_tags.findings[17]
findingand the sound-evoked activity there is hardly distinguishable from the one in visual cortex, r = 0.82
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content_tags.findings[18]
findingwith the prediction stated before the result - IF the activity comes from auditory cortex it SHOULD BE DRASTICALLY REDUCED on the cut side
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content_tags.findings[19]
findingTHE CENTRAL NULL: identical to the opposite hemisphere at r = 0.9 and to intact controls, with cross-correlation peaking at zero delay
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content_tags.findings[20]
findingTHE MANIPULATION WAS CHOSEN FOR WHAT IT DOES NOT DISTURB: silencing or stimulating would interfere with auditory processing and could change the behavior
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content_tags.findings[21]
findingTHREE METHOD DIFFERENCES against the study that introduced the transectomy: the previous study was conducted intracellularly and mostly in layers 2/3 where sounds hyperpolarized cells, performed recordings hours after the transectomy, and anesthetized the mice
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content_tags.findings[22]
findingsounds evoke small uninstructed movements, mainly whisker twitches, stereotyped across trials and mice
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content_tags.findings[23]
findingand sound identity decodes from the face at 16%, not significantly different from the 18% from the neurons
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content_tags.findings[24]
findingthe two time courses correlate at r = 0.75, and the mice that moved more consistently carried more sound information in V1
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content_tags.findings[25]
findingthe coupling survives with no stimulus at all, and the MOVEMENT PRECEDES the activity by a few tens of milliseconds
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content_tags.findings[26]
findingthe movement subspace, defined during the no-stimulus period, explains 75% of the sound-related variance and only 35% of the video-related
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content_tags.findings[27]
findingAND THE AUDITORY MODEL'S BUILT-IN ADVANTAGE IS DISCLOSED: it is a test-retest prediction and would fit perfectly with infinite trials
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content_tags.findings[28]
findingTHREE MODELS AND THE RANKING IS THE FINDING: the behavioral model performs just as well as the full model, so the sounds themselves were unnecessary
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content_tags.findings[29]
findingTHE CONTROL THAT MAKES THE CLAIM SPECIFIC: a purely visual model explains the video-evoked activity where the behavioral one does not
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content_tags.findings[30]
findingand the trial-to-trial variation is captured too, which the auditory model cannot do BY DEFINITION
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content_tags.findings[31]
findingthe conclusion is stated with its scope - AT LEAST IN OUR EXPERIMENTS, the activity had a behavioral origin
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content_tags.findings[32]
findingAND THE NULL IS BOUNDED THREE WAYS: other stimuli, other contexts, or low-firing neurons the recordings missed
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content_tags.findings[33]
findingA WHOLE LITERATURE'S CONTROLS DECLARED INADEQUATE: the necessary controls ARE RARELY PERFORMED in passively listening mice
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content_tags.findings[34]
findingA THRESHOLD AGAINST A FRACTION: the earlier whisking study used a hard threshold where this one estimated the fraction explained
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content_tags.findings[35]
findingTHE CORRELATION IS NOT CLAIMED AS CAUSATION: activity and movement may BOTH arise from changes in internal state
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content_tags.findings[36]
findingand the suspicion is extended outward - images and odors elicit stereotyped movements too
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content_tags.findings[37]
findingwith the limitation running in the direction that would STRENGTHEN the claim - only facial movements, only linear analyses
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content_tags.findings[38]
findingA SELECTION STEP CHECKED AGAINST THE RESULT IT COULD HAVE PRODUCED: the contamination score did not correlate with response reliability, and if anything went the other way
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content_tags.findings[39]
findingTHE DIMENSIONALITY CLASSIFIES THE SIGNAL: 79 significant components for videos, 4 for sounds, ZERO for their interaction
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content_tags.findings[40]
findingwith components found on one half of the data and their reliability measured on the other
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content_tags.findings[41]
findingthe extent of the cut was estimated by overlaying tractography from the Allen connectivity atlas on the reconstructed cut
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content_tags.findings[42]
findingand the mice were habituated to the rig but NOT to the specific stimuli before the experiment
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content_tags.findings[43]
findingwith the recording areas pooled under one name after checking that the exact location did not affect the results
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content_tags.findings[44]
quantity55% — share of the cross-validated sound-related variance in V1 explained by the first principal component of sound-related activity
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content_tags.quantities[0]
quantity18 ± 2% — single-trial accuracy of decoding which sound was played from marginalized V1 population activity (chance = 1/12)
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content_tags.quantities[1]
quantity16 ± 2% — accuracy of decoding sound identity from facial motion components alone, statistically indistinguishable from decoding it from V1 activity
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content_tags.quantities[2]
quantityr = 0.82 — correlation between the auditory PC1 time courses measured in visual cortex and in the hippocampal formation
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content_tags.quantities[3]
quantity75 ± 3% — fraction of sound-related variance explained by the first four components of the movement-related subspace defined during stimulus-free periods
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content_tags.quantities[4]
quantity79 — average number of significant cvPCA components for video-related activity, versus four for sound-related activity
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content_tags.quantities[5]
quantityfour — average number of significant cvPCA dimensions carrying sound-related variance in V1
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content_tags.quantities[6]
quantity>3.6 — estimated factor by which the transectomy reduced auditory-cortical input to the visual areas on the cut side relative to the intact side
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content_tags.quantities[7]
quantity640 — number of single cells recorded in primary visual cortex across eight mice (plus 233 in hippocampal formation)
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content_tags.quantities[8]
quantity0.39 — correlation between trial-by-trial fluctuations of V1 auditory PC1 and their cross-validated prediction from movement
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content_tags.quantities[9]
quantity0.34 — the correlation of the sound-evoked component across different mice, reported against its own within-mouse test-retest ceiling of 0.44
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content_tags.quantities[10]
quantity18 ± 2% — sound decoding accuracy from V1 neurons against a chance of one in twelve, and against 16% from the face alone
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content_tags.quantities[11]
quantityr = 0.82 — the correlation between the sound-evoked components of visual cortex and hippocampal formation - two regions with very different auditory input
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content_tags.quantities[12]
quantity75 ± 3% — the sound-related variance explained by a subspace defined entirely from movement during the no-stimulus period, against 35% of the video-related variance
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content_tags.quantities[13]
quantityzero significant components — the audiovisual interaction term - a reported null that removes the simplest form of multisensory integration
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content_tags.quantities[14]
variabletransectomy (independent)
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content_tags.variables[2]
variablebinned firing rate (dependent)
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content_tags.variables[3]
variablebody movements (dependent)
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content_tags.variables[4]
variabledecoding accuracy (dependent)
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content_tags.variables[5]
variabledimension
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content_tags.variables[7]
variablevariance
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content_tags.variables[8]
variableaccuracy
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content_tags.variables[9]
variablecorrelation
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content_tags.variables[10]
definitionauditory PC1
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content_tags.definitions[0]
definitiondimensionality
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content_tags.definitions[1]
definitionbehavioral subspace
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content_tags.definitions[2]
definitionbody motion variables
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content_tags.definitions[3]
definitioncvPCA
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content_tags.definitions[4]
definitionsubspace
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content_tags.definitions[5]
definitionauditory model
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content_tags.definitions[6]
definitionbehavioral model
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content_tags.definitions[7]
definitiondimension
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content_tags.definitions[8]
key-termsmultisensory, sound, video, V1, visual cortex, auditory cortex, hippocampal formation, projection, fiber, transectomy, cut, movement, whisker, behavior, internal state, pupil, spontaneous, dimension, low-dimensional, high-dimensional, PC1, variance, cvPCA, interaction, decoding, accuracy, correlation, stereotyped, model, auditory model, behavioral model, full model, prediction, subspace, trial, neuron, layer, intracellular, extracellular, two-photon, threshold, fraction, control, bias, ISI, reliability, stimulus
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
Wilcoxon signed-rank test P as written: Wilcoxon right-tailed signed rank test
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content_tags.statistics[0]
principal component analysis (cross-validated) as written: cross-validated Principal Component Analysis 15 (cvPCA)
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content_tags.statistics[1]
ridge regression
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[2]
reduced-rank regression
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[3]
cross-validation as written: threefold cross-validation
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[4]
ANOVA as written: repeated-measures ANOVA
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[5]
permutation/shuffling test as written: a shuffling method
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[6]
correlation r as written: Pearson correlation coefficient
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[7]
Fisher z-transformation as written: Fisher’s Z-transforming
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[8]
F-test F as written: F-statistic versus constant model
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[9]
Wilcoxon right-tailed signed rank test
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[10]
reduced-rank regression
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[11]
cross-validated Principal Component Analysis
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[12]
shuffling method
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[13]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
claim typecritique — a second reading DIFFERING from the recorded value; recorded: mechanism
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.claim_type
methodthree encoding models fitted to the same responses - one from sound identity alone, one from measured movement alone, one from both - with the ranking of their predictions as the result — a second reading DIFFERING from the recorded value; recorded: electrophysiology
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.method
phenomenonactivity evoked by sounds in visual cortex, previously read as multisensory integration — a second reading DIFFERING from the recorded value; recorded: sound-evoked activity in visual cortex
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.phenomenon

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