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Non-reward neural mechanisms in the orbitofrontal cortex

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dc.contributor.author Rolls, Edmund T
dc.contributor.author Deco, Gustavo
dc.date.accessioned 2017-07-11T10:29:59Z
dc.date.issued 2016
dc.identifier.citation Rolls ET, Deco G. Non-reward neural mechanisms in the orbitofrontal cortex. Cortex. 2016;83: 27-38. DOI: 10.1016/j.cortex.2016.06.023
dc.identifier.issn 0010-9452
dc.identifier.uri http://hdl.handle.net/10230/32529
dc.description.abstract Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, and behaviour must change. The human lateral orbitofrontal cortex is activated when non-reward, or loss occurs. The neuronal computation of this negative reward prediction error is fundamental for the emotional changes associated with non-reward, and with changing behaviour. Little is known about the neuronal mechanism. Here we propose a mechanism, which we formalize into a neuronal network model, which is simulated to enable the operation of the mechanism to be investigated. A single attractor network has a reward population (or pool) of neurons that is activated by expected reward, and maintain their firing until, after a time, synaptic depression reduces the firing rate in this neuronal population. If a reward outcome is not received, the decreasing firing in the reward neurons releases the inhibition implemented by inhibitory neurons, and this results in a second population of non-reward neurons to start and continue firing encouraged by the spiking-related noise in the network. If a reward outcome is received, this keeps the reward attractor active, and this through the inhibitory neurons prevents the non-reward attractor neurons from being activated. If an expected reward has been signalled, and the reward attractor neurons are active, their firing can be directly inhibited by a non-reward outcome, and the non-reward neurons become activated because the inhibition on them is released. The neuronal mechanisms in the orbitofrontal cortex for computing negative reward prediction error are important, for this system may be over-reactive in depression, under-reactive in impulsive behaviour, and may influence the dopaminergic ‘prediction error’ neurons.
dc.description.sponsorship This research was supported by the Oxford Centre for Computational Neuroscience, Oxford, UK. GD was supported by the ERC Advanced Grant: DYSTRUCTURE (no. 295129), and by the Spanish Research Project SAF2010-16085.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Cortex. 2016;83: 27-38.
dc.rights © Elsevier http://dx.doi.org/10.1016/j.cortex.2016.06.023
dc.title Non-reward neural mechanisms in the orbitofrontal cortex
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.cortex.2016.06.023
dc.subject.keyword Emotion
dc.subject.keyword Reward
dc.subject.keyword Non-reward
dc.subject.keyword Reward prediction error
dc.subject.keyword Orbitofrontal cortex
dc.subject.keyword Attractor network
dc.subject.keyword Depression
dc.subject.keyword Impulsiveness
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/295129
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion
dc.embargo.liftdate 2017-07-15
dc.date.embargoEnd info:eu-repo/date/embargoEnd/2017-07-15


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