Heterogenous population coding of a short-term memory and decision task.

TitleHeterogenous population coding of a short-term memory and decision task.
Publication TypeJournal Article
Year of Publication2010
AuthorsJun, JK, Miller, P, Hernández, A, Zainos, A, Lemus, L, Brody, CD, Romo, R
JournalJ Neurosci
Date Published2010 Jan 20
KeywordsAction Potentials, Animals, Brain Mapping, Decision Making, Discrimination, Psychological, Haplorhini, Memory, Short-Term, Models, Neurological, Nerve Net, Neural Networks, Computer, Neural Pathways, Neurons, Neuropsychological Tests, Nonlinear Dynamics, Photic Stimulation, Prefrontal Cortex, Reaction Time, Regression Analysis

<p>We examined neural spike recordings from prefrontal cortex (PFC) while monkeys performed a delayed somatosensory discrimination task. In general, PFC neurons displayed great heterogeneity in response to the task. That is, although individual cells spiked reliably in response to task variables from trial-to-trial, each cell had idiosyncratic combinations of response properties. Despite the great variety in response types, some general patterns held. We used linear regression analysis on the spike data to both display the full heterogeneity of the data and classify cells into categories. We compared different categories of cells and found little difference in their ability to carry information about task variables or their correlation to behavior. This suggests a distributed neural code for the task rather than a highly modularized one. Along this line, we compared the predictions of two theoretical models to the data. We found that cell types predicted by both models were not represented significantly in the population. Our study points to a different class of models that should embrace the inherent heterogeneity of the data, but should also account for the nonrandom features of the population.</p>

Alternate JournalJ Neurosci
PubMed ID20089900
PubMed Central IDPMC2941889
Grant ListR01 MH067991 / MH / NIMH NIH HHS / United States
R01 MH067991-05 / MH / NIMH NIH HHS / United States
R01-MH067991 / MH / NIMH NIH HHS / United States
/ HHMI / Howard Hughes Medical Institute / United States