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

Eckhoff, Philip, Wong-Lin, KongFatt and Holmes, Philip (2009) Optimality and robustness of a biophysical decision-making model under norepinephrine modulation. Journal of Neuroscience, 29 (13). pp. 4301-4311. [Journal article]

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URL: http://www.jneurosci.org/content/29/13/4301.long

DOI: 10.1523/JNEUROSCI.5024-08.2009


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.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:21350
Deposited By: Dr Kongfatt Wong-Lin
Deposited On:09 Mar 2012 14:57
Last Modified:17 Oct 2017 16:02

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