Angela CE Onslow

Matthew W Jones

MW Jones

Rafal Bogacz

T Akam

English

PubMed

Onslow Angela CE

Jones Matthew W

Bogacz Rafal

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BMC Neuroscience

Oscillatory mechanisms of selective integration during decision making

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ORAL PRESENTATION Open Access
Oscillatory mechanisms of selective integration
during decision making
Angela CE Onslow1,2,3*, Matthew W Jones2, Rafal Bogacz3
From Twentieth Annual Computational Neuroscience Meeting: CNS*2011
Stockholm, Sweden. 23-28 July 2011
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, oscil-
latory 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 hip-
pocampal-prefrontal interactions during a spatial work-
ing 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 neu-
rons which will initiate a decision once an integration
threshold is reached. An oscillatory (as opposed to asyn-
chronous) 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 cor-
rect decision [2].
Author details
1Bristol Centre for Complexity Sciences, University of Bristol, Bristol, BS8 1TR,
UK. 2School of Physiology & Pharmacology, University of Bristol, Bristol, BS8
1TD, UK. 3Department of Computer Science, University of Bristol, Bristol, BS8
1UB, UK.
Published: 18 July 2011
References
1. Akam T, Kullmann DM: Oscillations and filtering networks support flexible
routing of information. Neuron 2010, 67:308-320.
2. Jones MW, Wilson MA: Theta Rhythms Coordinate Hippocampal–
Prefrontal Interactions in a Spatial Memory Task. PLoS Biol 2005, 3:e402.
doi:10.1186/1471-2202-12-S1-O16
Cite this article as: Onslow et al.: Oscillatory mechanisms of selective
integration during decision making. BMC Neuroscience 2011 12(Suppl 1):
O16.
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* Correspondence: enaceo@bristol.ac.uk
1Bristol Centre for Complexity Sciences, University of Bristol, Bristol, BS8 1TR,
UK
Full list of author information is available at the end of the article
Onslow et al. BMC Neuroscience 2011, 12(Suppl 1):O16
http://www.biomedcentral.com/1471-2202/12/S1/O16
© 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.


DM: Oscillations and filtering networks support flexible routing of information. Neuron

Theta Rhythms Coordinate Hippocampal– Prefrontal Interactions in a Spatial Memory Task. PLoS Biol

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Oscillatory mechanisms of selective integration during decision making

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