Neural information processing with dynamical synapses
Experimental data have consistently revealed that the neuronal connection weight, which models the efficacy of the firing of a pre-synaptic neuron in modulating the state of a post-synaptic one, varies on short time scales, ranging from hundreds to thousands of milliseconds. This is called short-ter...
Saved in:
Main Author: | Misha Tsodyks (auth) |
---|---|
Other Authors: | Si Wu (auth), Michael K Y Wong (auth) |
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Frontiers Media SA
2014
|
Series: | Frontiers Research Topics
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial Neural Networks as Models of Neural Information Processing
by: Marcel van Gerven
Published: (2018) -
Neural Plasticity for Rich and Uncertain Robotic Information Streams
by: Andrea Soltoggio
Published: (2016) -
Metastable Dynamics of Neural Ensembles
by: Emili Balaguer-Ballester
Published: (2018) -
Neural Masses and Fields: Modelling the Dynamics of Brain Activity
by: Dimitris Pinotsis
Published: (2015) -
Photonic Neural Networks with Spatiotemporal Dynamics Paradigms of Computing and Implementation /
Published: (2024)