Capturing the temporal evolution of choice across prefrontal cortex

Laurence T. Hunt, Timothy E.J. Behrens, Takayuki Hosokawa, Jonathan D. Wallis, Steven W. Kennerley

    Research output: Contribution to journalArticlepeer-review

    34 Citations (Scopus)

    Abstract

    Activity in prefrontal cortex (PFC) has been richly described using economic models of choice. Yet such descriptions fail to capture the dynamics of decision formation. Describing dynamic neural processes has proven challenging due to the problem of indexing the internal state of PFC and its trial-by-trial variation. Using primate neurophysiology and human magnetoencephalography, we here recover a single-trial index of PFC internal states from multiple simultaneously recorded PFC subregions. This index can explain the origins of neural representations of economic variables in PFC. It describes the relationship between neural dynamics and behaviour in both human and monkey PFC, directly bridging between human neuroimaging data and underlying neuronal activity. Moreover, it reveals a functionally dissociable interaction between orbitofrontal cortex, anterior cingulate cortex and dorsolateral PFC in guiding cost-benefit decisions. We cast our observations in terms of a recurrent neural network model of choice, providing formal links to mechanistic dynamical accounts of decision-making.

    Original languageEnglish
    Article numbere11945
    JournaleLife
    Volume4
    Issue numberDECEMBER2015
    DOIs
    Publication statusPublished - 2015 Dec 11

    ASJC Scopus subject areas

    • Neuroscience(all)
    • Immunology and Microbiology(all)
    • Biochemistry, Genetics and Molecular Biology(all)

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