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Oscillations and Filtering Networks Support Flexible Routing of Information

Akam, T; Kullmann, DM; (2010) Oscillations and Filtering Networks Support Flexible Routing of Information. NEURON , 67 (2) 308 - 320. 10.1016/j.neuron.2010.06.019. Gold open access

Abstract

The mammalian brain exhibits profuse interregional connectivity. How information flow is rapidly and flexibly switched among connected areas remains poorly understood. Task-dependent changes in the power and interregion coherence of network oscillations suggest that such oscillations play a role in signal routing. We show that switching one of several convergent pathways from an asynchronous to an oscillatory state allows accurate selective transmission of population-coded information, which can be extracted even when other convergent pathways fire asynchronously at comparable rates. We further show that the band-pass filtering required to perform this information extraction can be implemented in a simple spiking network model with a single feed-forward interneuron layer. This constitutes a mechanism for flexible signal routing in neural circuits, which exploits sparsely synchronized network oscillations and temporal filtering by feed-forward inhibition.

Type: Article
Title: Oscillations and Filtering Networks Support Flexible Routing of Information
Open access status: An open access publication
DOI: 10.1016/j.neuron.2010.06.019
Keywords: GAMMA FREQUENCY OSCILLATIONS, SPATIAL ATTENTION, NEURONAL SYNCHRONIZATION, VISUAL-ATTENTION, NEOCORTICAL NEURONS, SELECTIVE ATTENTION, PHASE RELATIONSHIP, BEHAVING RAT, IN-VITRO, AREA V4
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Experimental Epilepsy
URI: http://discovery.ucl.ac.uk/id/eprint/120651
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