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Record W3180675060 · doi:10.1101/2021.07.12.450085

A corollary discharge mediates saccade related inhibition of single units in mnemonic structures of the human brain

2021· preprint· en· W3180675060 on OpenAlexaff
Chaim N. Katz, Andrea Gómez Palacio Schjetnan, Kramay Patel, Victoria Barkley, Kari L. Hoffman, Suneil K. Kalia, Katherine Duncan, Taufik A. Valiante

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2021
Typepreprint
Languageen
FieldNeuroscience
TopicNeural dynamics and brain function
Canadian institutionsToronto Western HospitalKrembil FoundationUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsCorollaryNeuroscienceSaccadeInhibitory postsynaptic potentialPsychologyMnemonicPopulationLobeTemporal lobeHuman brainEye movementCognitive psychologyBiologyAnatomyMedicine

Abstract

fetched live from OpenAlex

Abstract Despite the critical link between visual exploration and memory, little is known about how single-unit activity (SUA) in the human mesial temporal lobe (MTL) is modulated by saccadic eye movements (SEMs). Here we characterize SEM associated SUA modulations, unit-by-unit, and contrast them to image onset, and to occipital lobe SUA. We reveal evidence for a corollary discharge (CD)-like modulatory signal that accompanies SEMs, inhibiting/exciting a unique population of broad/narrow spiking units, respectively, before and during SEMs, and with directional selectivity. These findings comport well with the timing, directional nature, and inhibitory circuit implementation of a CD. Additionally, by linking SUA to event-related potentials (ERPs), which are directionally modulated following SEMs, we recontextualize the ERP associated with SEM as a proxy for both the strength of inhibition and saccade direction, providing a mechanistic underpinning for the more commonly recorded SEM-related ERP in the human brain.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.222
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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