The modularity of action control in the nervous system. (360G-Wellcome-110257_Z_15_Z)

£250,000

The first phase of the proposed research is to establish the principles by which control structures are represented in the nervous system in motor control and sequential decision-making. The behavioural patterns revealed using well-established assays will be tested in order to provide evidence for an optimally efficient representation of the task structure as predicted by the common computational framework of Bayesian structure modeling. The second phase is to use neuroimaging techniques (fMR I) on humans in order to identify the neural substrates of a learning process which efficiently encodes the task structure. Parallel analyses will be performed on a rich, and already acquired, dataset composed of electrophysiological recordings from rodents. This will test whether the same model applies across species, and critically, relate the model to previously established neural phenomenon. The results of these two phases will be integrated into a novel neuro-computational model of the a cquisition of control representations in corticostriatal circuits and their use in decision-making. Based on the hyperactivity of the dopaminergic system, the resulting model will be probed for predictions of behavioural deficits which will then be tested in patients suffering from schizophrenia.

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Grant Details

Amount Awarded 250000
Applicant Surname McNamee
Approval Committee Basic Science Interview Committee
Award Date 2015-11-11T00:00:00+00:00
Financial Year 2015/16
Grant Programme: Title Sir Henry Wellcome Postdoctoral Fellowship
Internal ID 110257/Z/15/Z
Lead Applicant Dr Daniel McNamee
Partnership Value 250000
Planned Dates: End Date 2018-11-30T00:00:00+00:00
Planned Dates: Start Date 2016-02-01T00:00:00+00:00
Recipient Org: Country United Kingdom
Region East of England
Sponsor(s) Prof Daniel Wolpert