Spike sorting for large, dense electrode arrays

Rossant, Kadir, Goodman, Schulman, Hunter, Saleem, Grosmark, Belluscio · Nature Neuroscience · 2016 · neuroscience · 10.1038/nn.4268 · record Rossant2016-spike-sorting-for-large-dense-electrode-arra
tag layer · index · concepts · authors · עברית
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. Almost all in-text citations are bare superscript numbers, so most prior work cannot be named from the article text; the three relations recorded are the only places where a prior artefact is named in prose (KlustaKwik v1, Klusters, the BEER measure). The paper also reports human-operator consistency data (8 operators, Fowlkes-Mallows index) and electrode-design simulations, which the facets do not capture. Validation is against simulated 'hybrid' ground truth rather than intracellular ground truth, which the paper describes as a construction rather than flagging as a limitation, so it is not listed under limitations. 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.
9 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.
How to read this page. The article itself is not reproduced here — this paper is not cleared for redistribution, so what follows is the tag layer alone. The evidence sentences are withheld with the article. The table at the foot lists every tag the record carries; each row names the facet it belongs to, and the whose words column says whether the tag records the paper's own wording or the tagger's sentence about the paper. Every tag links to each other paper in the corpus carrying it. The machine-readable edition of the same thing is the TEI file beside this one, where the tags live in standOff, and the article is at its publisher via the link below. When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.
Other fields define these differently the same word, defined another way in another discipline
false discovery rate 6 fields · ground truth 5 fields · principal component analysis 5 fields · cross-validation 3 fields · standard deviation 3 fields · true positive rate 2 fields

Tags on this paper

Every tag the record carries, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 28 concept tags on this paper, 1 are grounded in a quoted sentence. All carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
spike sorting manual curation masked EM algorithm classical EM algorithm curse of dimensionality mask vector feature vector ground truth hybrid datasets donor cell Best Ellipsoid Error Rate Fowlkes-Mallows index false discovery rate true positive rate well-isolated multiunit activity electrode drift bursting nonstationarity temporally overlapping spikes adjacency graph weak threshold strong threshold site thinning tetrode silicon probes Wizard template matching noise on many uninformative channels swamps signal on few informative channels, so Gaussian-mixture clustering breaks down as dimensionality grows probabilistically disenfranchising low-mask channels removes their contribution to cluster assignment and so prevents threshold-crossing artefacts from generating spurious clusters requiring a strong-threshold crossing inside each weak-threshold connected component discards isolated noise islands while merging weakly connected regions of one spike cost scales with unmasked channels per spike rather than total channels, which is why the method stays tractable as arrays grow hybrid spikes fraction of hybrid spikes detected spike timing jitter mask accuracy site spacing penalty parameter t-test two-sample t-test two-sample t-test on total errors principal component analysis cross-validation evaluates its performance with cross-validation standard deviation multiples of the standard deviation of the filtered signal robust estimator (median absolute deviation) Bayesian Information Criterion a modification of the Bayesian Information Criterion maximum likelihood estimation (mixture of Gaussians) a hard EM algorithm for maximum-likelihood fitting of a mixture of arbitrary-covariance Gaussians false discovery rate / true positive rate false discovery rate ... true positive rate Fowlkes-Mallows index (clustering agreement) mixture of Gaussians ROC curve Kullback-Leibler divergence geometric random walk system-or-tool-building

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second readingalternativesan independent re-reading of a facet, recorded whether or not it agrees
relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
conceptconceptsan idea the paper works with, quoted where the paper uses it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
contributioncontributionwhat the paper claims to add
controlcontrolsan experiment run to eliminate a rival explanation
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
object of studyobject_of_studywhat the paper is about — the thing it investigates
phenomenonphenomenonthe effect or regularity under study
research questionresearch_questionthe question the paper sets itself
sensesensesa distinct use of a term, quoted where the paper fixes it
transfertransfersa method or concept carried in from another field

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://doi.org/10.1038/nn.4268. The reading view exists for the papers whose licence permits it.

Every tag on this page

alternatives 3 · claim_relations 9 · claim_type 1 · concept_edges 7 · concepts 1 · content_tags 75 · contribution 1 · controls 1 · limitations 10 · mechanisms 10 · method 1 · object_of_study 1 · phenomenon 1 · research_question 1 · senses 5 · transfers 4

Relations on this page carry a quotation for the claim. Where a relation was separately evidenced — and so tested against the vocabulary for its type — the row says so; none of 7 relations here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
object_of_studyhow to recover the firing times of individual neurons from the raw voltage recorded by a dense electrode array - the step that manufactures the single unit
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object_of_studythe paper's words
research_questionwhether a practical system can sort high-channel-count data at error rates comparable to tetrode methods, in human and computer time a working lab will accept
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research_questionthe paper's words
contributiona three-stage pipeline (masked detection, masked EM clustering, guided manual curation) reaching about 5% error, plus a measurement of how much of the result depends on which human curates it
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contributionthe paper's words
claim_typemethod
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claim_typethe paper's words
phenomenonspike sorting for high-density electrode arrays
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phenomenonthe paper's words
methodsystem-or-tool-building
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methodthe paper's words
mechanismsmechanisms
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mechanisms[0]the tagger's words
mechanismsmechanisms
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mechanisms[1]the tagger's words
mechanismsmechanisms
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mechanisms[2]the tagger's words
mechanismsmechanisms
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mechanisms[3]the tagger's words
mechanismsoverlapping spikes are separated not by their features, which are nearly identical, but by which channels they appear on - the mask vector
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mechanisms[4]1.0the tagger's words
mechanismsthe curse of dimensionality: on a large array the noise on uninformative channels outweighs the signal on the few informative ones
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mechanisms[5]1.0the tagger's words
mechanismsmasked EM disenfranchises low-mask channels probabilistically, so no false cluster is created when an amplitude happens to cross a threshold
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mechanisms[6]1.0the tagger's words
mechanismstwo thresholds rather than one: the weak one prevents a spike being split by noise, the strong one prevents noise being kept as a spike
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mechanisms[7]1.0the tagger's words
mechanismsthe human cost of curation is quadratic in clusters unless the software orders the candidate merges, which makes it linear
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mechanisms[8]0.9the tagger's words
mechanismscomplexity scales with unmasked channels per spike, a quantity that does not grow as arrays get bigger
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mechanisms[9]1.0the tagger's words
limitationsClustering can still take hours or days on large datasets with a single-core machine.
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what this limits: the practical claim of usability at scale, not the accuracy results: IT CAN TAKE HOURS OR EVEN DAYS TO COMPLETE ON A STANDARD SINGLE-CORE MACHINE
limitations[0]the tagger's words
limitationsSpikes that overlap in both space and time cannot be resolved by the detection algorithm.
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what this limits: every spike count and every unit derived from dense-array data: IT CANNOT RESOLVE SPIKES THAT OVERLAP IN BOTH SPACE AND TIME - those spikes are absent from the output
limitations[1]the tagger's words
limitationsOperators' judgements of which clusters count as well-isolated units are subjective, so the pipeline still depends on a non-reproducible human step.
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what this limits: any claim that a set of well-isolated single units is operator-independent: Quotation withheld
limitations[2]the tagger's words
limitationsspikes that overlap in both space and time cannot be resolved at all
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what this limits: the same scope as limitations[1] - spatiotemporally overlapping spikes are unresolved
limitations[3]1.0the tagger's words
limitationsground truth is simulated, and rests on the assumption that the extracellular medium is a linear conductor so waveforms can simply be added
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what this limits: the accuracy figures only, which are measured against this truth set: WE CREATED A SIMULATED GROUND TRUTH DATASET ... SINCE THE EXTRACELLULAR MEDIUM IS A LINEAR CONDUCTOR - the validation assumes linearity
limitations[4]1.0the tagger's words
limitationsthe bursting interspike intervals that make real spike trains hard were deliberately not simulated
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what this limits: the generalisation of those accuracy figures to real bursting cells: THE INTERSPIKE INTERVALS TYPICAL OF BURSTING NEURONS WERE NOT SIMULATED
limitations[5]1.0the tagger's words
limitationswhich clusters count as well-isolated single units is not reproducible between operators
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what this limits: the reproducibility of the unit yield between labs: THE JUDGEMENT OF WHETHER A CLUSTER SHOULD BE CONSIDERED A WELL-ISOLATED SINGLE UNIT was not consistent across operators
limitations[6]1.0the tagger's words
limitationsthe waveform changes that force manual correction have resisted mathematical modelling
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what this limits: any expectation that manual curation can be removed: WAVEFORMS ARE NOT CONSTANT, BUT CHANGE ACCORDING TO FIRING - the errors forcing manual correction resist modelling
limitations[7]1.0the tagger's words
limitationsruntime can reach hours or days on a single core
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what this limits: the same scope as limitations[0] - runtime, not accuracy
limitations[8]1.0the tagger's words
limitationstemplate matching, which would solve the overlap problem, is blocked less by the algorithm than by what it would do to the curation step
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what this limits: the prospect of solving the overlap problem by template matching: SUCH METHODS ARE NOT AT PRESENT WIDELY APPLIED TO IN VIVO RECORDINGS
limitations[9]0.9the tagger's words
transfersthe EM algorithm for mixtures of Gaussians, modified so that uninformative dimensions are disenfranchised rather than weighted
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transfers[0]1.0the tagger's words
transfersthe flood fill, used to grow a spike as a connected component in space and time
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transfers[1]0.8the tagger's words
transfersthe Fowlkes-Mallows index, used here to score agreement between two human operators rather than between two clusterings
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transfers[2]1.0the tagger's words
transfersthe precedent that automatic methods in data-intensive science run under human supervision
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transfers[3]1.0the tagger's words
controlsevery added spike displaced by a RANDOM SUB-SAMPLE OFFSET via cubic spline interpolation before being written into the simulated data
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eliminates: the test being passable without sub-sample alignment - spikes added on the sampling grid would let a sorter that ignores sub-sample timing score as well as one that does not, so the benchmark would not test the thing it claims to · outcome (stated by the tagger, no quotation): held
controls[0]0.95the tagger's words
conceptshybrid datasets
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concepts[8]0.85the paper's words
sensesground truth here = SIMULATED - a known cell's waveforms added into another recording - not intracellular recording of the same neuron; the word is used for both in this literature
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senses[0]1.0the tagger's words
senseswell-isolated single unit = a cluster an operator accepts; the paper shows this judgement is not shared between operators, so the term does not denote a fixed object
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senses[1]1.0the tagger's words
sensesmanual curation = correcting the automatic clustering, not selecting data; it is a required step of the measurement, not a post-hoc filter
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senses[2]0.9the tagger's words
sensesmask vector = which channels a spike appeared on, rescaled to [0,1]; distinct from the feature vector, which is the PCA summary of its shape
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senses[3]1.0the tagger's words
sensestheoretical optimum = the Best Ellipsoid Error Rate, a quadratic decision boundary fitted to ground truth and cross-validated - a benchmark, not a bound on any possible algorithm
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senses[4]0.9the tagger's words
alternativesclaim_type: method
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a second reading reaching the same value. Recorded: method — note: a second reading reaching the same value from a different sentence. Not applied - a person decides.
alternatives.claim_typethe tagger's words
alternativesmethod: algorithm design validated on simulated ground truth built by adding a donor cell's waveforms into a second recording, plus a study of 8 human operators curating the same dataset
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a second reading DIFFERING from the recorded value. Recorded: system-or-tool-building — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.methodthe tagger's words
alternativesphenomenon: spike sorting: the inference from extracellular waveforms to the identity of the neuron that produced them
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a second reading DIFFERING from the recorded value. Recorded: spike sorting for high-density electrode arrays — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.phenomenonthe tagger's words
claim_relationsbuilds-on → KlustaKwik, first version (tetrode-oriented hard EM mixture-of-Gaussians program released in 2000)
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claim_relations[0]the tagger's words
claim_relationsbuilds-on → Klusters manual spike-sorting environment (ref. 13)
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claim_relations[1]the tagger's words
claim_relationsbuilds-on → Best Ellipsoid Error Rate (BEER) measure (ref. 8)
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claim_relations[2]the tagger's words
claim_relationsextends → semi-automatic tetrode spike sorting, which reached 5% error against intracellular ground truth
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claim_relations[3]1.0the tagger's words
claim_relationscontradicts → the assumption that tetrode sorting methods carry over to large arrays
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claim_relations[4]1.0the tagger's words
claim_relationscritiques → the practice of deciding by eye which units are well isolated
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differs in: THE AXIS IS WHO OR WHAT DECIDES ISOLATION QUALITY. 'experienced operators tended to make similar judgements during the manual curation process, but Quotation withheld ... we therefore recommend that these [quantitative criteria] be used, rather than human judgements.' Note the shape: agreement between operators is granted and is not treated as evidence of correctness - concordance and validity are separated explicitly.
claim_relations[5]1.0the tagger's words
claim_relationsdistinguishes-from → template-matching sorters validated on in vitro retinal arrays
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differs in: THE AXIS IS THE NOISE LEVEL OF THE DATA THE METHOD WAS VALIDATED ON. 'TEMPLATE-MATCHING ALGORITHMS HAVE SOLVED THIS PROBLEM IN THE CASE OF IN VITRO RETINAL ARRAY DATA, BUT THESE DATA ARE MUCH LESS NOISY THAN IN VIVO BRAIN RECORDINGS.' The method is granted its success and the success is bounded by the preparation it was demonstrated on - so 'solved' is true of one regime and unproven in the other, and a citation carries only the word.
claim_relations[6]1.0the tagger's words
claim_relationscritiques → the existing literature of proposed sorting methods, none of which was adopted
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claim_relations[7]0.9the tagger's words
claim_relationscontradicts → the strategy of adding time as a clustering feature to track drift
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claim_relations[8]1.0the tagger's words
concept_edgesRETRACTED (DIRECTION REVERSED) · manual curation —part-of→ spike sorting
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RETRACTED: DIRECTION REVERSED. The edge says spike sorting is part of manual curation. The paper says the opposite: '…extraction, (2) cluster analysis, and (3) MANUAL CURATION…' Manual curation is a step OF spike sorting. Found while looking for a span naming both endpoints - the search for grounding surfaced a direction error. — strength of the relation: 1 · note: direction is member-to-container: curation is the fourth step of the sorting process, not an optional extra
concept_edges[0]1.0the tagger's words
concept_edgesmasked EM algorithm —contrasted-with→ classical EM algorithm
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strength of the relation: 1 · note: the same data: masked near the BEER optimum, classical above 50% error
concept_edges[1]1.0the tagger's words
concept_edgesEVIDENCE CORRECTED (RE-GROUNDED) · well-isolated —contrasted-with→ multiunit activity
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EVIDENCE CORRECTED: RE-GROUNDED. The old span was about operator consistency. This sentence names both as the two outcomes of one decision - the operator '…WELL-ISOLATED neuron, OR rejects it as MULTIUNIT ACTIVITY…' - so the contrast is a forced choice rather than an observed difference. — strength of the relation: 1 · note: the boundary the operator study found to be operator-dependent
concept_edges[5]0.85the tagger's words
concept_edgesbursting —is-a→ nonstationarity
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strength of the relation: 0.9 Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span models bursting as a source of waveform variability; is-a 'nonstationarity' is loose.
concept_edges[7]0.8the tagger's words
concept_edgessilicon probes —contrasted-with→ tetrode
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strength of the relation: 1 · note: CRITERION, stated: overlapping spikes are extremely common on the dense probe and not on the tetrode
concept_edges[10]1.0the tagger's words
concept_edgesmanual curation —part-of→ spike sorting
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strength of the relation: 1 · note: REPLACES another row of this record, which ran the other way. The convention is from=part, to=whole - 'vertex --part-of--> network'. NO separate quote for the relation: the span's composition cue is 'involves', which is not in CONTAINER_FIRST, and its only other attestation in the corpus (Pickering2008) is fenced. One available occurrence does not earn a cue, so the clause-level check is forgone rather than the rule bent.
concept_edges[13]0.95the tagger's words
concept_edgesmask vector —distinct-from→ feature vector
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strength of the relation: 1 · note: RE-GROUNDS another row of this record: the old span named ONE endpoint. Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span compares the feature vectors and mask vectors of two example spikes; distinct-from is loose.
concept_edges[14]1.0the tagger's words
content_tagst-test
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also in: t-test
content_tags.statistics[0]the tagger's words
content_tagstwo-sample t-test
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content_tags.statistics[1]the tagger's words
content_tagsprincipal component analysis
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content_tags.statistics[2]the tagger's words
content_tagscross-validation
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content_tags.statistics[3]the tagger's words
content_tagsstandard deviation
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content_tags.statistics[4]the tagger's words
content_tagsrobust estimator (median absolute deviation)
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content_tags.statistics[5]the tagger's words
content_tagsBayesian Information Criterion
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content_tags.statistics[6]the tagger's words
content_tagsmaximum likelihood estimation (mixture of Gaussians)
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content_tags.statistics[7]the tagger's words
content_tagsfalse discovery rate / true positive rate
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content_tags.statistics[8]the tagger's words
content_tagsFowlkes-Mallows index (clustering agreement)
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content_tags.statistics[9]the tagger's words
content_tagst-test
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also in: t-test
content_tags.statistics[10]1.0the tagger's words
content_tagsprincipal component analysis
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content_tags.statistics[11]1.0the tagger's words
content_tagsmixture of Gaussians
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content_tags.statistics[12]1.0the tagger's words
content_tagscross-validation
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content_tags.statistics[13]1.0the tagger's words
content_tagsROC curve
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also in: ROC curve
content_tags.statistics[14]1.0the tagger's words
content_tagsBayesian Information Criterion
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content_tags.statistics[15]0.9the tagger's words
content_tagsFowlkes-Mallows index
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content_tags.statistics[16]1.0the tagger's words
content_tagsKullback-Leibler divergence
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content_tags.statistics[17]1.0the tagger's words
content_tagsfalse discovery rate
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content_tags.statistics[18]1.0the tagger's words
content_tagsgeometric random walk
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content_tags.statistics[19]0.8the tagger's words
content_tagsDetection is close to optimal with a strong threshold of 4 SD, a weak threshold of 2 SD and a power weight of 2.
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content_tags.findings[0]the tagger's words
content_tagsThe masked EM clustering algorithm reaches roughly 5% false positive and false discovery rates, close to the theoretical optimum.
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content_tags.findings[1]the tagger's words
content_tagsThe classical EM algorithm failed on high-count probe data with error rates above 50%, whereas the masked EM algorithm matched the BEER-estimated optimum.
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content_tags.findings[2]the tagger's words
content_tagsHuman operators agreed with each other about which clusters to merge but disagreed about which clusters count as well-isolated, so quantitative isolation metrics should replace that judgement.
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content_tags.findings[3]the tagger's words
content_tagsSpacing recording sites further apart than 40 μm substantially degrades sorting performance in rat cortex.
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content_tags.findings[4]the tagger's words
content_tagsThe two sides of a staggered shank act as largely independent probes, so the gain from two-sided shanks is more recorded units rather than better isolation of any one unit.
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content_tags.findings[5]the tagger's words
content_tagsAdding time as an extra clustering feature to track amplitude drift made clustering worse rather than better.
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content_tags.findings[6]the tagger's words
content_tagsManual curation time grows linearly with cluster count at roughly one minute per cluster and is independent of probe size.
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content_tags.findings[7]the tagger's words
content_tagsthe masked EM algorithm is statistically indistinguishable from the theoretical optimum, while the classical EM is far from it
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content_tags.findings[8]1.0the tagger's words
content_tagsfalse positive and false discovery rates are both about 5%
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content_tags.findings[9]1.0the tagger's words
content_tagsexperienced operators agree on merges, but disagree on which clusters count as well isolated
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content_tags.findings[10]1.0the tagger's words
content_tagsthe authors therefore recommend quantitative isolation metrics in place of the human judgement
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content_tags.findings[11]1.0the tagger's words
content_tagsadding time as a clustering feature to track drift made performance worse, against expectation
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content_tags.findings[12]1.0the tagger's words
content_tagsperformance in rat cortex falls substantially once site spacing exceeds the 40um same-side spacing of the test probes
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content_tags.findings[13]1.0the tagger's words
content_tagsthe two sides of a staggered shank work independently: the gain is more units, not better isolation
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content_tags.findings[14]1.0the tagger's words
content_tagsdetection parameters optimal in cortex were also optimal in CA1
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content_tags.findings[15]1.0the tagger's words
content_tagsthe classical EM failure is not a parameter choice - rerunning across penalty values could not fix it
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content_tags.findings[16]1.0the tagger's words
content_tagsspike sorting
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also in: spike sorting
content_tags.definitions[0]the tagger's words
content_tagshybrid spikes
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also in: hybrid spikes
content_tags.definitions[1]the tagger's words
content_tagsmasked EM algorithm
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content_tags.definitions[2]the tagger's words
content_tagsmask vector
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also in: mask vector
content_tags.definitions[3]the tagger's words
content_tagsWizard
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also in: Wizard
content_tags.definitions[4]the tagger's words
content_tagsspike sorting
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also in: spike sorting
content_tags.definitions[5]1.0the tagger's words
content_tagsmasked EM algorithm
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content_tags.definitions[6]1.0the tagger's words
content_tagsmask vector
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also in: mask vector
content_tags.definitions[7]1.0the tagger's words
content_tagsBest Ellipsoid Error Rate
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content_tags.definitions[8]1.0the tagger's words
content_tagshybrid datasets
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content_tags.definitions[9]1.0the tagger's words
content_tagsFowlkes-Mallows index
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content_tags.definitions[10]1.0the tagger's words
content_tagscurse of dimensionality
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content_tags.definitions[11]1.0the tagger's words
content_tagsfraction of hybrid spikes detected
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content_tags.variables[1]the tagger's words
content_tagsspike timing jitter
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content_tags.variables[2]the tagger's words
content_tagsmask accuracy
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also in: mask accuracy
content_tags.variables[3]the tagger's words
content_tagssite thinning
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also in: site thinning
content_tags.variables[4]the tagger's words
content_tagsweak threshold
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content_tags.variables[6]1.0the tagger's words
content_tagsstrong threshold
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content_tags.variables[7]1.0the tagger's words
content_tagssite spacing
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also in: site spacing
content_tags.variables[8]1.0the tagger's words
content_tagspenalty parameter
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content_tags.variables[10]1.0the tagger's words
content_tags5% — error rate the whole pipeline achieves on validation data across species and brain regions
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content_tags.quantities[0]the tagger's words
content_tags95% — proportion of ground-truth (hybrid) spikes correctly detected at the chosen parameters, with 0.5-sample timing jitter
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content_tags.quantities[1]the tagger's words
content_tagsp = 0.8 — t-test comparing masked EM total error to theoretical optimum (no difference), versus p = 0.005 for masked vs classical EM
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content_tags.quantities[2]the tagger's words
content_tagsp=0.75 — two-sample t-test showing a cell that stopped firing halfway through the recording did not change total sorting error
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content_tags.quantities[3]the tagger's words
content_tagsbelow 80% — average correct spike-detection rate once alternating recording sites were removed (site thinning)
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content_tags.quantities[4]the tagger's words
content_tagsover 320 scientists in 50 neurophysiology labs — size of the user base whose feedback shaped the software
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content_tags.quantities[5]the tagger's words
content_tagsover 10,000% — speed increase of the reimplemented KlustaKwik clustering program
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content_tags.quantities[6]the tagger's words
content_tags5% — false positive and false discovery rate of the masked EM algorithm on hybrid data
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content_tags.quantities[7]1.0the tagger's words
content_tagsover 50% — error rate of the classical EM algorithm on the same data
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content_tags.quantities[8]1.0the tagger's words
content_tags4 SD and 2 SD — optimal strong and weak detection thresholds, with power weight 2
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content_tags.quantities[9]1.0the tagger's words
content_tags95% — spikes correctly detected at those settings, with 0.5 samples of timing jitter
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content_tags.quantities[10]1.0the tagger's words
content_tagsbelow 80% — correct detection after site thinning - the cost of halving electrode density
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content_tags.quantities[11]1.0the tagger's words
content_tags40 — micron same-side site spacing beyond which performance in rat cortex falls off
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content_tags.quantities[12]1.0the tagger's words
content_tagsabout 1 minute per cluster — operator time for curation, linear in cluster count and independent of probe size
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content_tags.quantities[13]1.0the tagger's words
content_tags8 — human operators tested, 5 experienced and 3 novices
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content_tags.quantities[14]1.0the tagger's words
content_tags6 of 10 — hybrid cells detectable on only one side of a staggered probe
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content_tags.quantities[15]1.0the tagger's words
content_tagsover 320 scientists in 50 neurophysiology labs — the user base whose feedback shaped the software
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content_tags.quantities[16]1.0the tagger's words
content_tags10-20 — simultaneously recorded cells a tetrode can reveal, against one or two for a sharp electrode
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content_tags.quantities[17]1.0the tagger's words

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