Interspike interval based filtering of directional selective retinal ganglion cells spike trains

10.1155/2012/918030

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Main Authors: Martiniuc, A.V, Knoll, A
Other Authors: MECHANICAL ENGINEERING
Format: Article
Published: 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/181844
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1818442024-04-04T02:35:35Z Interspike interval based filtering of directional selective retinal ganglion cells spike trains Martiniuc, A.V Knoll, A MECHANICAL ENGINEERING Cell types Direction of stimuli Directional selectivity Encountered type Information rates Inter-spike interval Neuronal response Retinal ganglion cells Spike train Temporal filtering Visual information processing Visual stimulus Visual systems Cells Chaos theory Cytology Data processing Ophthalmology White noise Aldehydes action potential animal article biological model motion nerve cell physiology rabbit retina ganglion cell time visual system function Action Potentials Animals Models, Neurological Motion Neurons Ocular Physiological Phenomena Rabbits Retinal Ganglion Cells Time Factors 10.1155/2012/918030 Computational Intelligence and Neuroscience 2012 918030 2020-10-28T07:29:03Z 2020-10-28T07:29:03Z 2012 Article Martiniuc, A.V, Knoll, A (2012). Interspike interval based filtering of directional selective retinal ganglion cells spike trains. Computational Intelligence and Neuroscience 2012 : 918030. ScholarBank@NUS Repository. https://doi.org/10.1155/2012/918030 16875265 https://scholarbank.nus.edu.sg/handle/10635/181844 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Cell types
Direction of stimuli
Directional selectivity
Encountered type
Information rates
Inter-spike interval
Neuronal response
Retinal ganglion cells
Spike train
Temporal filtering
Visual information processing
Visual stimulus
Visual systems
Cells
Chaos theory
Cytology
Data processing
Ophthalmology
White noise
Aldehydes
action potential
animal
article
biological model
motion
nerve cell
physiology
rabbit
retina ganglion cell
time
visual system function
Action Potentials
Animals
Models, Neurological
Motion
Neurons
Ocular Physiological Phenomena
Rabbits
Retinal Ganglion Cells
Time Factors
spellingShingle Cell types
Direction of stimuli
Directional selectivity
Encountered type
Information rates
Inter-spike interval
Neuronal response
Retinal ganglion cells
Spike train
Temporal filtering
Visual information processing
Visual stimulus
Visual systems
Cells
Chaos theory
Cytology
Data processing
Ophthalmology
White noise
Aldehydes
action potential
animal
article
biological model
motion
nerve cell
physiology
rabbit
retina ganglion cell
time
visual system function
Action Potentials
Animals
Models, Neurological
Motion
Neurons
Ocular Physiological Phenomena
Rabbits
Retinal Ganglion Cells
Time Factors
Martiniuc, A.V
Knoll, A
Interspike interval based filtering of directional selective retinal ganglion cells spike trains
description 10.1155/2012/918030
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
Martiniuc, A.V
Knoll, A
format Article
author Martiniuc, A.V
Knoll, A
author_sort Martiniuc, A.V
title Interspike interval based filtering of directional selective retinal ganglion cells spike trains
title_short Interspike interval based filtering of directional selective retinal ganglion cells spike trains
title_full Interspike interval based filtering of directional selective retinal ganglion cells spike trains
title_fullStr Interspike interval based filtering of directional selective retinal ganglion cells spike trains
title_full_unstemmed Interspike interval based filtering of directional selective retinal ganglion cells spike trains
title_sort interspike interval based filtering of directional selective retinal ganglion cells spike trains
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/181844
_version_ 1800914655840829440