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A Dendritic Mechanism for Decoding Traveling Waves: Principles and Applications to Motor Cortex

Overview of attention for article published in PLoS Computational Biology, October 2013
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Title
A Dendritic Mechanism for Decoding Traveling Waves: Principles and Applications to Motor Cortex
Published in
PLoS Computational Biology, October 2013
DOI 10.1371/journal.pcbi.1003260
Pubmed ID
Authors

Stewart Heitmann, Tjeerd Boonstra, Michael Breakspear

Abstract

Traveling waves of neuronal oscillations have been observed in many cortical regions, including the motor and sensory cortex. Such waves are often modulated in a task-dependent fashion although their precise functional role remains a matter of debate. Here we conjecture that the cortex can utilize the direction and wavelength of traveling waves to encode information. We present a novel neural mechanism by which such information may be decoded by the spatial arrangement of receptors within the dendritic receptor field. In particular, we show how the density distributions of excitatory and inhibitory receptors can combine to act as a spatial filter of wave patterns. The proposed dendritic mechanism ensures that the neuron selectively responds to specific wave patterns, thus constituting a neural basis of pattern decoding. We validate this proposal in the descending motor system, where we model the large receptor fields of the pyramidal tract neurons - the principle outputs of the motor cortex - decoding motor commands encoded in the direction of traveling wave patterns in motor cortex. We use an existing model of field oscillations in motor cortex to investigate how the topology of the pyramidal cell receptor field acts to tune the cells responses to specific oscillatory wave patterns, even when those patterns are highly degraded. The model replicates key findings of the descending motor system during simple motor tasks, including variable interspike intervals and weak corticospinal coherence. By additionally showing how the nature of the wave patterns can be controlled by modulating the topology of local intra-cortical connections, we hence propose a novel integrated neuronal model of encoding and decoding motor commands.

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Geographical breakdown

Country Count As %
Japan 2 3%
Canada 2 3%
Germany 1 1%
Netherlands 1 1%
Unknown 73 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 24%
Student > Ph. D. Student 18 23%
Student > Master 6 8%
Student > Doctoral Student 6 8%
Student > Bachelor 6 8%
Other 16 20%
Unknown 8 10%
Readers by discipline Count As %
Neuroscience 20 25%
Agricultural and Biological Sciences 17 22%
Engineering 5 6%
Physics and Astronomy 5 6%
Psychology 5 6%
Other 12 15%
Unknown 15 19%