Journal
JOURNAL OF THEORETICAL BIOLOGY
Volume 334, Issue -, Pages 13-25Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2013.05.022
Keywords
Phase-delayed inhibition; Feedforward inhibition; Synchrony filter; Neuronal networks; Synchronized oscillations
Categories
Funding
- National Science Foundation [DMS-0943760, EF-1038593]
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [0943760] Funding Source: National Science Foundation
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The widespread presence of synchronized neuronal oscillations within the brain suggests that a mechanism must exist that is capable of decoding such activity. Two realistic designs for such a decoder include: (1) a read-out neuron with a high spike threshold, or (2) a phase-delayed inhibition network motif. Despite requiring a more elaborate network architecture, phase-delayed inhibition has been observed in multiple systems, suggesting that it may provide inherent advantages over simply imposing a high spike threshold. In this work, we use a computational and mathematical approach to investigate the efficacy of the phase-delayed inhibition motif in detecting synchronized oscillations. We show that phase-delayed inhibition is capable of creating a synchrony detector with sharp synchrony filtering properties that depend critically on the time course of inputs. Additionally, we show that phase-delayed inhibition creates a synchrony filter that is far more robust than that created by a high spike threshold. (C) 2013 Elsevier Ltd. All rights reserved.
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