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research article

Synapses as dynamic memory buffers

Maass, W.
•
Markram, H.  
2002
Neural Networks

This article throws new light on the possible role of synapses in information transmission through theoretical analysis and computer simulations. We show that the internal dynamic state of a synapse may serve as a transient memory buffer that stores information about the most recent segment of the spike train that was previously sent to this synapse. This information is transmitted to the postsynaptic neuron through the amplitudes of the postsynaptic response for the next few spikes. In fact, we show that most of this information about the preceding spike train is already contained in the postsynaptic response for just two additional spikes. It is demonstrated that the postsynaptic neuron receives simultaneously information about the specific type of synapse which has transmitted these pulses. In view of recent findings by Gupta et al. [Science, 287 (2000) 273] that different types of synapses are characteristic for specific types of presynaptic neurons, the postsynaptic neuron receives in this way partial knowledge about the identity of the presynaptic neuron from which it has received information. Our simulations are based on recent data about the dynamics of GABAergic synapses. We show that the relatively large number of synaptic release sites that make up a GABAergic synaptic connection makes these connections suitable for such complex information transmission processes. (C) 2002 Elsevier Science Ltd. All rights reserved.

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Type
research article
DOI
10.1016/S0893-6080(01)00144-7
PubMed ID

12022505

Author(s)
Maass, W.
Markram, H.  
Date Issued

2002

Published in
Neural Networks
Volume

15

Issue

2

Start page

155

End page

161

Subjects

Computer Simulation

•

Models, Neurological

Note

Graz Tech Univ, Inst Theoret Comp Sci, Inffeldgasse 166, A-8010 Graz, Austria Weizmann Inst Sci, Dept Neurobiol, IL-76100 Rehovot, Israel

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LNMC  
Available on Infoscience
February 27, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/19338
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