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This article is part of the supplement: Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access Oral presentation

Oscillatory mechanisms of selective integration during decision making

Angela CE Onslow123*, Matthew W Jones2 and Rafal Bogacz3

Author Affiliations

1 Bristol Centre for Complexity Sciences, University of Bristol, Bristol, BS8 1TR, UK

2 School of Physiology & Pharmacology, University of Bristol, Bristol, BS8 1TD, UK

3 Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK

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BMC Neuroscience 2011, 12(Suppl 1):O16  doi:10.1186/1471-2202-12-S1-O16

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/12/S1/O16


Published:18 July 2011

© 2011 Onslow et al; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Oral presentation

Coordinated, rhythmic neuronal activity is proposed to allow selective routing of information by downstream targets which can filter a rhythmic input from noisy, asynchronous inputs. This mechanism was recently implemented in a model by Akam and Kullman [1]. Our work extends their concept to incorporate a neural mechanism for integrating the routed information, intended to model decision making. In our model, oscillatory input signals encode information relevant to the decision making task which must be evaluated in order to make a correct decision. The model is based on hippocampal-prefrontal interactions during a spatial working memory task. In this context the oscillatory signal represents the working memory item being retrieved and is assumed to be generated through an interactive process between the hippocampus and prefrontal cortex. This information is then integrated by prefrontal neurons which will initiate a decision once an integration threshold is reached. An oscillatory (as opposed to asynchronous) signal allows the relevant information to be filtered from other simultaneous activity and attended to by the cortex.

Two variations of the model are explored: one which combines routing and integration in a single subunit of the model (equivalent to a single processing step); the other utilizes two separate subunits, one for routing and one for integration. The model components represent excitatory pyramidal cells and inhibitory interneurons in prefrontal cortex. The two models make different experimental predictions which are evaluated through comparison with data recorded in rats during a task which requires spatial working memory (specifically, the memory of the last turn made) in order to make a correct decision [2].

References

  1. Akam T, Kullmann DM: Oscillations and filtering networks support flexible routing of information.

    Neuron 2010, 67:308-320. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  2. Jones MW, Wilson MA: Theta Rhythms Coordinate Hippocampal–Prefrontal Interactions in a Spatial Memory Task.

    PLoS Biol 2005, 3:e402. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL