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Temporal filters in response to presynaptic spike trains: Interplay of cellular, synaptic and short-term plasticity time scales

View ORCID ProfileYugarshi Mondal, View ORCID ProfileRodrigo F. O. Pena, View ORCID ProfileHoracio G. Rotstein
doi: https://doi.org/10.1101/2021.09.16.460719
Yugarshi Mondal
1Department of Mathematics and Statistics Stony Brook University, USA
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Rodrigo F. O. Pena
2Federated Department of Biological Sciences New Jersey Institute of Technology and Rutgers University, USA
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Horacio G. Rotstein
2Federated Department of Biological Sciences New Jersey Institute of Technology and Rutgers University, USA
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  • For correspondence: horacio@njit.edu
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Abstract

Temporal filters, the ability of postsynaptic neurons to preferentially select certain presynaptic input patterns over others, have been shown to be associated with the notion of information filtering and coding of sensory inputs. Short-term plasticity (depression and facilitation; STP) has been proposed to be an important player in the generation of temporal filters. We carry out a systematic modeling, analysis and computational study to understand how characteristic postsynaptic (low-, high- and band-pass) temporal filters are generated in response to periodic presynaptic spike trains in the presence STP. We investi-gate how the dynamic properties of these filters depend on the interplay of a hierarchy of processes, including the arrival of the presynaptic spikes, the activation of STP, its effect on the excitatory synaptic connection efficacy, and the response of the postsynaptic cell. These mechanisms involve the inter-play of a collection of time scales that operate at the single-event level (roughly, during each presynaptic interspike-interval) and control the long-term development of the temporal filters over multiple presynaptic events. These time scales are generated at the levels of the presynaptic cell (captured by the presynaptic interspike-intervals), short-term depression and facilitation, synaptic dynamics and the post-synaptic cellular currents. We develop mathematical tools to link the single-event time scales with the time scales governing the long-term dynamics of the resulting temporal filters for a relatively simple model where depression and facilitation interact at the level of the synaptic efficacy change. We extend our results and tools to account for more complex models. These include multiple STP time scales and non-periodic presynaptic inputs. The results and ideas we develop have implications for the understanding of the generation of temporal filters in complex networks for which the simple feedforward network we investigate here is a building block.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵‡ Graduate Faculty, Behavioral Neurosciences Program, Rutgers University; Corresponding Investigator, CONICET, Argentina.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 27, 2022.
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Temporal filters in response to presynaptic spike trains: Interplay of cellular, synaptic and short-term plasticity time scales
Yugarshi Mondal, Rodrigo F. O. Pena, Horacio G. Rotstein
bioRxiv 2021.09.16.460719; doi: https://doi.org/10.1101/2021.09.16.460719
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Temporal filters in response to presynaptic spike trains: Interplay of cellular, synaptic and short-term plasticity time scales
Yugarshi Mondal, Rodrigo F. O. Pena, Horacio G. Rotstein
bioRxiv 2021.09.16.460719; doi: https://doi.org/10.1101/2021.09.16.460719

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