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Record W2120664418 · doi:10.1186/1471-2202-15-s1-p220

Neuron population activity in the medial prefrontal cortex suggests superimposed codes for situation and situation value

2014· article· en· W2120664418 on OpenAlexaff
Nathan Insel, Carol A. Barnes

Bibliographic record

VenueBMC Neuroscience · 2014
Typearticle
Languageen
FieldNeuroscience
TopicNeural dynamics and brain function
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNational Institute on AgingEvelyn F. McKnight Brain Research FoundationMcKnight FoundationBrain Research Foundation
KeywordsPrefrontal cortexNeuroscienceNeuronPopulationValue (mathematics)PsychologyComputer scienceMedicineCognition

Abstract

fetched live from OpenAlex

The medial prefrontal cortex (mPFC) may be necessary for an animal to use contextual information to generate appropriate behaviors[1]. Consistent with this, neuron activity in the mPFC is sensitive to an animal’s behavioral and environmental context[2,3]. The mPFC also appears to be important for determining a situation’ sv alue: it projects strongly to other value-coding regions such as the ventral striatum, ventral tegmental area, and amygdale[4], and functional neuroimaging studies often show increased blood oxygenation in the region during high-valued situations[5]. In the present study we find evidence that the output of the mPFC includes both a high-dimensional code for an animal’s behavioral situation and, superimposed on this, a single-dimensional code for value. Neuron ensembles and local field potentials were recorded while rats performed a novel, 3-choice, 2-cue decision task, as well as during rest epochs before and after the task. 2433 single neurons were subdivided into classes according to waveform shape and firing patterns. The majority of neurons were found to be regular-firing, putative excitatory projection neurons. Activity of individual neurons in this group carried high levels of information about behavioral context (e.g., session epoch, trial phases, space, and movement), while the population as a whole was most active near reward sites. In contrast, fast-spiking, putative inhibitory interneurons carried less information about behavioral context and fired most during rats’ acceleration or in response to task cues. The dissociations between fast-spiking and regular-firing neurons were observed even between adjacent cells with apparently reciprocal, inhibitory-excitatory connections. Notably, movement-related activity in both neuron groups was reduced in more ventral regions of the mPFC. Another, smaller population of projection neurons with burst-firing characteristics did not show clustered firing fields around rewards. This group, although heterogeneous, was also less selective for behavioral context than regular-firing cells. Based on these results, we propose that the mPFC repre

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 score0.003
Threshold uncertainty score0.005

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 head0.037
GPT teacher head0.281
Teacher spread0.244 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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