Dual coding theory explains biphasic collective computation in neural decision-making

BRYAN DANIELS, Jessica C. Flack, David C. Krakauer

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A central question in cognitive neuroscience is how unitary, coherent decisions at the whole organism level can arise from the distributed behavior of a large population of neurons with only partially overlapping information. We address this issue by studying neural spiking behavior recorded from a multielectrode array with 169 channels during a visual motion direction discrimination task. It is well known that in this task there are two distinct phases in neural spiking behavior. Here we show Phase I is a distributed or incompressible phase in which uncertainty about the decision is substantially reduced by pooling information from many cells. Phase II is a redundant or compressible phase in which numerous single cells contain all the information present at the population level in Phase I, such that the firing behavior of a single cell is enough to predict the subject's decision. Using an empirically grounded dynamical modeling framework, we show that in Phase I large cell populations with low redundancy produce a slow timescale of information aggregation through critical slowing down near a symmetry-breaking transition. Our model indicates that increasing collective amplification in Phase II leads naturally to a faster timescale of information pooling and consensus formation. Based on our results and others in the literature, we propose that a general feature of collective computation is a "coding duality" in which there are accumulation and consensus formation processes distinguished by different timescales.

Original languageEnglish (US)
Article number313
JournalFrontiers in Neuroscience
Volume11
Issue numberJUN
DOIs
StatePublished - Jun 6 2017

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Decision Making
Consensus
Population
Uncertainty
Neurons

Keywords

  • Collective computation
  • Critical slowing down
  • Decision tasks

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Dual coding theory explains biphasic collective computation in neural decision-making. / DANIELS, BRYAN; Flack, Jessica C.; Krakauer, David C.

In: Frontiers in Neuroscience, Vol. 11, No. JUN, 313, 06.06.2017.

Research output: Contribution to journalArticle

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