Optimality and robustness of a biophysical decision-making model under norepinephrine modulation

Philip Eckhoff, KongFatt Wong-Lin, Philip Holmes

    Research output: Contribution to journalArticle

    41 Citations (Scopus)

    Abstract

    The locus coeruleus (LC) can exhibit tonic or phasic activity and release norepinephrine (NE) throughout the cortex, modulating cellular excitability and synaptic efficacy and thus influencing behavioral performance. We study the effects of LC-NE modulation on decision making in two-alternative forced-choice tasks by changing conductances in a biophysical neural network model, and we investigate how it affects performance measured in terms of reward rate. We find that low tonic NE levels result in unmotivated behavior and high levels in impulsive, inaccurate choices, but that near-optimal performance can occur over a broad middle range. Robustness is greatest when pyramidal cells are less strongly modulated than interneurons, and superior performance can be achieved with phasic NE release, provided only glutamatergic synapses are modulated. We also show that network functions such as sensory information accumulation and short-term memory can be modulated by tonic NE levels, and that previously-observed diverse evoked cell responses may be due to network effects.
    LanguageEnglish
    Pages4301-4311
    JournalJournal of Neuroscience
    Volume29
    Issue number13
    DOIs
    Publication statusPublished - 1 Apr 2009

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    Robustness
    Decision-making model
    Optimality
    Network effects
    Decision making
    Network model
    Efficacy
    Neural networks
    Reward

    Cite this

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    abstract = "The locus coeruleus (LC) can exhibit tonic or phasic activity and release norepinephrine (NE) throughout the cortex, modulating cellular excitability and synaptic efficacy and thus influencing behavioral performance. We study the effects of LC-NE modulation on decision making in two-alternative forced-choice tasks by changing conductances in a biophysical neural network model, and we investigate how it affects performance measured in terms of reward rate. We find that low tonic NE levels result in unmotivated behavior and high levels in impulsive, inaccurate choices, but that near-optimal performance can occur over a broad middle range. Robustness is greatest when pyramidal cells are less strongly modulated than interneurons, and superior performance can be achieved with phasic NE release, provided only glutamatergic synapses are modulated. We also show that network functions such as sensory information accumulation and short-term memory can be modulated by tonic NE levels, and that previously-observed diverse evoked cell responses may be due to network effects.",
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    Optimality and robustness of a biophysical decision-making model under norepinephrine modulation. / Eckhoff, Philip; Wong-Lin, KongFatt; Holmes, Philip.

    In: Journal of Neuroscience, Vol. 29, No. 13, 01.04.2009, p. 4301-4311.

    Research output: Contribution to journalArticle

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    AU - Holmes, Philip

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