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Record W7057379844

Information processing in dorsal striatum subregions during instrumental learning

2016· dissertation· en· W7057379844 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsnot available
FundersMcGill University
KeywordsStriatumReinforcementTask (project management)DorsumContrast (vision)Operant conditioningBasal gangliaHippocampus
DOInot available

Abstract

fetched live from OpenAlex

Previous research has suggested that the functions of the dorsomedial (DMS) and dorsolateral (DLS) striatum are dissociable, the former mediating goal-directed action-outcome (A-O) associations and the latter habitual stimulus-response (S-R) associations.Some of this evidence was obtained using different schedules of reinforcement in operant tasks, in combination with reinforcer devaluation.The present experiments used different versions of the win-stay task and single-solution T-maze tasks to assess the role of dorsal striatum subregions in instrumental learning.In contrast to previous studies, DMS but not DLS lesions impaired win-stay learning in both a conventional and in an automated radial maze, in which rats were allowed to obtain food multiple times from the same arms.This suggests that win-stay performance was due primarily to A-O associations.Consistent with this conclusion, devaluation of the reinforcer impaired the performance of control rats but not that of rats with either DMS or DLS lesions.This suggests that the rats also acquired S-R associations which were revealed when A-O associations were eliminated by the lesions.It was hypothesized that hippocampus learning to avoid revisiting baited arms suppresses DLS-based S-R associations, making win-stay performance dependent on DMS-based A-O associations.When the reinforcer was delivered on an interval schedule in the win-stay task both DMS and DLS lesions impaired performance, and reinforcer devaluation had no effect, suggesting that the interval schedule promoted S-R learning.Single-solution T-maze tasks were studied in an attempt to understand the roles of the striatal subregions in the components of win-stay learning.The results suggested that the DMS is required for the ability to acquire instrumental reinforcement contingencies with a proximal cue, a spatial location or a body turn.The availability of extramaze cues (EMCs) interfered with learning the cue task but not the turn or place tasks.DLS lesions also impaired cue learning (upon removal of EMCs), retarded but did not eliminate learning in the turn task, and enhanced learning in the place task when EMCs were available.Overall, these findings indicate that numerous different kinds of learning occur simultaneously and interact with each other in maze learning situations.Neurotoxically selective lesions of the striatal patch compartment had no significant effects on overall learning rates in the cue, turn or place tasks, but there were significant correlations between the residual patch area and several aspects of performance in the group of lesioned rats.The findings suggest that the patch compartment may mediate functions that can influence maze performance although its involvement may not be central to these forms of instrumental learning.I would like to thank my fellow graduate students and partners in crime, Maliha Naeem and Selma Hamdani, for their friendship and all the good times we have shared together inside and outside the lab.I would also like to acknowledge the technical assistance of Melissa Latourelle, Sintya Shortino and Karine Gamache.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.210
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 teacher head, not a consensus.

Study designBench or experimental
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

Citations0
Published2016
Admission routes1
Has abstractyes

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