Neural information processing with dynamical synapses (Record no. 82056)

MARC details
000 -LEADER
fixed length control field 03529naaaa2200349uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/54475
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220104407.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-2-88919-383-7
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9782889193837
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3389/978-2-88919-383-7
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Misha Tsodyks
Relationship auth
245 10 - TITLE STATEMENT
Title Neural information processing with dynamical synapses
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Frontiers Media SA
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (178 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. 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-term plasticity (STP). Two types of STP, with opposite effects on the connection efficacy, have been observed in experiments. They are short-term depression (STD) and short-term facilitation (STF). Computational studies have explored the impact of STP on network dynamics, and found that STP can generate very rich intrinsic dynamical behaviors, including damped oscillations, state hopping with transient population spikes, traveling fronts and pulses, spiral waves, rotating bump states, robust self-organized critical activities and so on. These studies also strongly suggest that STP can play many important roles in neural computation. For instances, STD may provide a dynamic control mechanism that allows equal fractional changes on rapidly and slowly firing afferents to produce post-synaptic responses, realizing Weber's law; STD may provide a mechanism to close down network activity naturally, achieving iconic sensory memory; and STF may provide a mechanism for implementing work-memory not relying on persistent neural firing. From the computational point of view, the time scale of STP resides between fast neural signaling (in the order of milliseconds) and rapid learning (in the order of minutes or above), which is the time scale of many important temporal processes occurring in our daily lives, such as motion control and working memory. Thus, STP may serve as a substrate for neural systems manipulating temporal information on the relevant time scales. This Research Topic aims to present the recent progress in understanding the roles of STP in neural information processing. It includes, but no exclusively, the studies on investigating various computational roles of STP, the modeling studies on exploring new dynamical behaviors generated by STP, and the experimental works which help us to understand the functional roles of STP.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
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Uncontrolled term neural field model
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Uncontrolled term Associative Memory
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Uncontrolled term neural information processing
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Uncontrolled term phenomenological model
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Uncontrolled term network dynamics
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Uncontrolled term short-term plasticity
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Uncontrolled term Continuous Attractor Neural Network
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Si Wu
Relationship auth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Michael K Y Wong
Relationship auth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="http://journal.frontiersin.org/researchtopic/821/neural-information-processing-with-dynamical-synapses">http://journal.frontiersin.org/researchtopic/821/neural-information-processing-with-dynamical-synapses</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/54475">https://directory.doabooks.org/handle/20.500.12854/54475</a>
Access status 0
Public note DOAB: description of the publication

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