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research article

Neural networks with dynamic synapses

Tsodyks, M.
•
Pawelzik, K.
•
Markram, H.  
1998
Neural computation

Transmission across neocortical synapses depends on the frequency of presynaptic activity (Thomson & Deuchars, 1994). Interpyramidal synapses in layer V exhibit fast depression of synaptic transmission, while other types of synapses exhibit facilitation of transmission. To study the role of dynamic synapses in network computation, we propose a unified phenomenological model that allows computation of the postsynaptic current generated by both types of synapses when driven by an arbitrary pattern of action potential (AP) activity in a presynaptic population. Using this formalism, we analyze different regimes of synaptic transmission and demonstrate that dynamic synapses transmit different aspects of the presynaptic activity depending on the average presynaptic frequency. The model also allows for derivation of mean-field equations, which govern the activity of large, interconnected networks. We show that the dynamics of synaptic transmission results in complex sets of regular and irregular regimes of network activity.

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Type
research article
PubMed ID

9573407

Author(s)
Tsodyks, M.
Pawelzik, K.
Markram, H.  
Date Issued

1998

Published in
Neural computation
Volume

10

Issue

4

Start page

821

End page

35

Subjects

Nerve Net

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LNMC  
Available on Infoscience
January 28, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/88294
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