History-dependent variability in population dynamics during evidence accumulation in cortex.
We studied how the posterior parietal cortex combines new information with ongoing activity dynamics as mice accumulate evidence during a virtual navigation task. Using new methods to analyze population activity on single trials, we found that activity transitioned rapidly between different sets of active neurons. Each event in a trial, whether an evidence cue or a behavioral choice, caused seconds-long modifications to the probabilities that govern how one activity pattern transitions to the next, forming a short-term memory. A sequence of evidence cues triggered a chain of these modifications resulting in a signal for accumulated evidence. Multiple distinguishable activity patterns were possible for the same accumulated evidence because representations of ongoing events were influenced by previous within- and across-trial events. Therefore, evidence accumulation need not require the explicit competition between groups of neurons, as in winner-take-all models, but could instead emerge implicitly from general dynamical properties that instantiate short-term memory.
Department of Neurobiology, Harvard Medical School, Boston, Massachusetts, USA.
Ari S
0000-0001-5370-6515
AS
Morcos
Department of Neurobiology, Harvard Medical School, Boston, Massachusetts, USA.
Christopher D
CD
Harvey
D000818:Animals; D001522:Behavior, Animal / Q000502:physiology*; D002540:Cerebral Cortex / Q000502:physiology*; D008253:Macaca mulatta; D008297:Male; D008570:Memory, Short-Term / Q000502:physiology*; D008810:Mice, Inbred C57BL; D009474:Neurons / Q000502:physiology*; D010296:Parietal Lobe / Q000502:physiology; D011157:Population Dynamics / Q000706:statistics & numerical data*; D012438:Saccades
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