Cellular adaptation facilitates sparse and reliable coding in sensory pathways.
Most neurons in peripheral sensory pathways initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomenon affects stimulus coding in the later stages of sensory processing. Here, we show that a temporally sparse and reliabl...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013-01-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC3789775?pdf=render |
id |
doaj-e5fa1fa4001942efa741d65244d60035 |
---|---|
record_format |
Article |
spelling |
doaj-e5fa1fa4001942efa741d65244d600352020-11-25T02:31:46ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582013-01-01910e100325110.1371/journal.pcbi.1003251Cellular adaptation facilitates sparse and reliable coding in sensory pathways.Farzad FarkhooiAnja FroeseEilif MullerRandolf MenzelMartin P NawrotMost neurons in peripheral sensory pathways initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomenon affects stimulus coding in the later stages of sensory processing. Here, we show that a temporally sparse and reliable stimulus representation develops naturally in sequential stages of a sensory network with adapting neurons. As a modeling framework we employ a mean-field approach together with an adaptive population density treatment, accompanied by numerical simulations of spiking neural networks. We find that cellular adaptation plays a critical role in the dynamic reduction of the trial-by-trial variability of cortical spike responses by transiently suppressing self-generated fast fluctuations in the cortical balanced network. This provides an explanation for a widespread cortical phenomenon by a simple mechanism. We further show that in the insect olfactory system cellular adaptation is sufficient to explain the emergence of the temporally sparse and reliable stimulus representation in the mushroom body. Our results reveal a generic, biophysically plausible mechanism that can explain the emergence of a temporally sparse and reliable stimulus representation within a sequential processing architecture.http://europepmc.org/articles/PMC3789775?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Farzad Farkhooi Anja Froese Eilif Muller Randolf Menzel Martin P Nawrot |
spellingShingle |
Farzad Farkhooi Anja Froese Eilif Muller Randolf Menzel Martin P Nawrot Cellular adaptation facilitates sparse and reliable coding in sensory pathways. PLoS Computational Biology |
author_facet |
Farzad Farkhooi Anja Froese Eilif Muller Randolf Menzel Martin P Nawrot |
author_sort |
Farzad Farkhooi |
title |
Cellular adaptation facilitates sparse and reliable coding in sensory pathways. |
title_short |
Cellular adaptation facilitates sparse and reliable coding in sensory pathways. |
title_full |
Cellular adaptation facilitates sparse and reliable coding in sensory pathways. |
title_fullStr |
Cellular adaptation facilitates sparse and reliable coding in sensory pathways. |
title_full_unstemmed |
Cellular adaptation facilitates sparse and reliable coding in sensory pathways. |
title_sort |
cellular adaptation facilitates sparse and reliable coding in sensory pathways. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Computational Biology |
issn |
1553-734X 1553-7358 |
publishDate |
2013-01-01 |
description |
Most neurons in peripheral sensory pathways initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomenon affects stimulus coding in the later stages of sensory processing. Here, we show that a temporally sparse and reliable stimulus representation develops naturally in sequential stages of a sensory network with adapting neurons. As a modeling framework we employ a mean-field approach together with an adaptive population density treatment, accompanied by numerical simulations of spiking neural networks. We find that cellular adaptation plays a critical role in the dynamic reduction of the trial-by-trial variability of cortical spike responses by transiently suppressing self-generated fast fluctuations in the cortical balanced network. This provides an explanation for a widespread cortical phenomenon by a simple mechanism. We further show that in the insect olfactory system cellular adaptation is sufficient to explain the emergence of the temporally sparse and reliable stimulus representation in the mushroom body. Our results reveal a generic, biophysically plausible mechanism that can explain the emergence of a temporally sparse and reliable stimulus representation within a sequential processing architecture. |
url |
http://europepmc.org/articles/PMC3789775?pdf=render |
work_keys_str_mv |
AT farzadfarkhooi cellularadaptationfacilitatessparseandreliablecodinginsensorypathways AT anjafroese cellularadaptationfacilitatessparseandreliablecodinginsensorypathways AT eilifmuller cellularadaptationfacilitatessparseandreliablecodinginsensorypathways AT randolfmenzel cellularadaptationfacilitatessparseandreliablecodinginsensorypathways AT martinpnawrot cellularadaptationfacilitatessparseandreliablecodinginsensorypathways |
_version_ |
1724822175677939712 |