Spiking neuron model of basal forebrain enhancement of visual attention
Attentional mechanisms allow the brain to enhance the representation and transmission of certain signals at the expense of others. The basal forebrain has been shown to play an important role in attention through its diverse set of interactions with sensory and associational areas. A recent empirica...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 8 |
---|---|
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Avery, M. Krichmar, J. L. Dutt, N. |
description | Attentional mechanisms allow the brain to enhance the representation and transmission of certain signals at the expense of others. The basal forebrain has been shown to play an important role in attention through its diverse set of interactions with sensory and associational areas. A recent empirical study indicates that the nucleus basalis, a subset of neurons located in the basal forebrain, is important for improving sensory processing by increasing reliability and decreasing redundancy in the cortex and thalamus [1, 2]. We developed a spiking neural network model that simulates the nucleus basalis' interaction with the thalamus and visual cortex. In this model, we simulated two modes of action by which it is thought that the nucleus basalis may be influencing sensory processing: (1) inhibitory projections from the nucleus basalis to the thalamic reticular nucleus, which disinhibit the lateral geniculate nucleus (LGN) and gate information into the cortex, and (2) cholinergic excitation of inhibitory neurons in the visual cortex. We showed that the inhibition of the thalamic reticular nucleus GABAergic neurons leads to an increase in the reliability of spikes in the LGN and cortex. We observed that a decrease in the burst to tonic firing ratio in the LGN, coupled with the cholinergic system increasing inhibition in the visual cortex caused decorrelation in the cortex. These findings will help us better understand the mechanisms behind the control of attention by the basal forebrain and shed light on how the orchestrated action of the basal forebrain on multiple target areas can improve information processing in the brain. |
doi_str_mv | 10.1109/IJCNN.2012.6252578 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6252578</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6252578</ieee_id><sourcerecordid>6252578</sourcerecordid><originalsourceid>FETCH-LOGICAL-i219t-35f13a63adff5aed69c401e077a9971fddae91542f3fbf201aabc38b1c6df6463</originalsourceid><addsrcrecordid>eNpVkM1OwzAQhM2fRFXyAnDxCyR4bceOjyiCUlSVA3CuNskaDI1TJSkSb08Q5cBcRppvtNIOY5cgMgDhrpcP5XqdSQEyMzKXuS2OWOJsAdpYBbpw6pjNJBhItRb25B8rzOkfU06ds2QY3sWkqSFBz9jiaRc-QnzlkfZ9F3nbNbTlnecVDrjlvuup6jFETvENY00txfEHf4ZhP3EcxykIXbxgZx63AyUHn7OXu9vn8j5dPS6W5c0qDRLcmKrcg0KjsPE-R2qMq7UAEtaicxZ80yA5yLX0yld-ehmxqlVRQW0ab7RRc3b1ezcQ0WbXhxb7r81hFvUNDMVS1g</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Spiking neuron model of basal forebrain enhancement of visual attention</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Avery, M. ; Krichmar, J. L. ; Dutt, N.</creator><creatorcontrib>Avery, M. ; Krichmar, J. L. ; Dutt, N.</creatorcontrib><description>Attentional mechanisms allow the brain to enhance the representation and transmission of certain signals at the expense of others. The basal forebrain has been shown to play an important role in attention through its diverse set of interactions with sensory and associational areas. A recent empirical study indicates that the nucleus basalis, a subset of neurons located in the basal forebrain, is important for improving sensory processing by increasing reliability and decreasing redundancy in the cortex and thalamus [1, 2]. We developed a spiking neural network model that simulates the nucleus basalis' interaction with the thalamus and visual cortex. In this model, we simulated two modes of action by which it is thought that the nucleus basalis may be influencing sensory processing: (1) inhibitory projections from the nucleus basalis to the thalamic reticular nucleus, which disinhibit the lateral geniculate nucleus (LGN) and gate information into the cortex, and (2) cholinergic excitation of inhibitory neurons in the visual cortex. We showed that the inhibition of the thalamic reticular nucleus GABAergic neurons leads to an increase in the reliability of spikes in the LGN and cortex. We observed that a decrease in the burst to tonic firing ratio in the LGN, coupled with the cholinergic system increasing inhibition in the visual cortex caused decorrelation in the cortex. These findings will help us better understand the mechanisms behind the control of attention by the basal forebrain and shed light on how the orchestrated action of the basal forebrain on multiple target areas can improve information processing in the brain.</description><identifier>ISSN: 2161-4393</identifier><identifier>ISBN: 9781467314886</identifier><identifier>ISBN: 1467314889</identifier><identifier>EISSN: 2161-4407</identifier><identifier>EISBN: 9781467314893</identifier><identifier>EISBN: 9781467314909</identifier><identifier>EISBN: 1467314897</identifier><identifier>EISBN: 1467314900</identifier><identifier>DOI: 10.1109/IJCNN.2012.6252578</identifier><language>eng</language><publisher>IEEE</publisher><subject>attention ; Brain modeling ; computational neuroscience ; Correlation ; Decorrelation ; microcircuit ; neuromodulation ; Neurons ; Niobium ; Reliability ; spiking neurons ; vision ; Visualization</subject><ispartof>The 2012 International Joint Conference on Neural Networks (IJCNN), 2012, p.1-8</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6252578$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6252578$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Avery, M.</creatorcontrib><creatorcontrib>Krichmar, J. L.</creatorcontrib><creatorcontrib>Dutt, N.</creatorcontrib><title>Spiking neuron model of basal forebrain enhancement of visual attention</title><title>The 2012 International Joint Conference on Neural Networks (IJCNN)</title><addtitle>IJCNN</addtitle><description>Attentional mechanisms allow the brain to enhance the representation and transmission of certain signals at the expense of others. The basal forebrain has been shown to play an important role in attention through its diverse set of interactions with sensory and associational areas. A recent empirical study indicates that the nucleus basalis, a subset of neurons located in the basal forebrain, is important for improving sensory processing by increasing reliability and decreasing redundancy in the cortex and thalamus [1, 2]. We developed a spiking neural network model that simulates the nucleus basalis' interaction with the thalamus and visual cortex. In this model, we simulated two modes of action by which it is thought that the nucleus basalis may be influencing sensory processing: (1) inhibitory projections from the nucleus basalis to the thalamic reticular nucleus, which disinhibit the lateral geniculate nucleus (LGN) and gate information into the cortex, and (2) cholinergic excitation of inhibitory neurons in the visual cortex. We showed that the inhibition of the thalamic reticular nucleus GABAergic neurons leads to an increase in the reliability of spikes in the LGN and cortex. We observed that a decrease in the burst to tonic firing ratio in the LGN, coupled with the cholinergic system increasing inhibition in the visual cortex caused decorrelation in the cortex. These findings will help us better understand the mechanisms behind the control of attention by the basal forebrain and shed light on how the orchestrated action of the basal forebrain on multiple target areas can improve information processing in the brain.</description><subject>attention</subject><subject>Brain modeling</subject><subject>computational neuroscience</subject><subject>Correlation</subject><subject>Decorrelation</subject><subject>microcircuit</subject><subject>neuromodulation</subject><subject>Neurons</subject><subject>Niobium</subject><subject>Reliability</subject><subject>spiking neurons</subject><subject>vision</subject><subject>Visualization</subject><issn>2161-4393</issn><issn>2161-4407</issn><isbn>9781467314886</isbn><isbn>1467314889</isbn><isbn>9781467314893</isbn><isbn>9781467314909</isbn><isbn>1467314897</isbn><isbn>1467314900</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1OwzAQhM2fRFXyAnDxCyR4bceOjyiCUlSVA3CuNskaDI1TJSkSb08Q5cBcRppvtNIOY5cgMgDhrpcP5XqdSQEyMzKXuS2OWOJsAdpYBbpw6pjNJBhItRb25B8rzOkfU06ds2QY3sWkqSFBz9jiaRc-QnzlkfZ9F3nbNbTlnecVDrjlvuup6jFETvENY00txfEHf4ZhP3EcxykIXbxgZx63AyUHn7OXu9vn8j5dPS6W5c0qDRLcmKrcg0KjsPE-R2qMq7UAEtaicxZ80yA5yLX0yld-ehmxqlVRQW0ab7RRc3b1ezcQ0WbXhxb7r81hFvUNDMVS1g</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Avery, M.</creator><creator>Krichmar, J. L.</creator><creator>Dutt, N.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20120101</creationdate><title>Spiking neuron model of basal forebrain enhancement of visual attention</title><author>Avery, M. ; Krichmar, J. L. ; Dutt, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i219t-35f13a63adff5aed69c401e077a9971fddae91542f3fbf201aabc38b1c6df6463</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>attention</topic><topic>Brain modeling</topic><topic>computational neuroscience</topic><topic>Correlation</topic><topic>Decorrelation</topic><topic>microcircuit</topic><topic>neuromodulation</topic><topic>Neurons</topic><topic>Niobium</topic><topic>Reliability</topic><topic>spiking neurons</topic><topic>vision</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>Avery, M.</creatorcontrib><creatorcontrib>Krichmar, J. L.</creatorcontrib><creatorcontrib>Dutt, N.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Avery, M.</au><au>Krichmar, J. L.</au><au>Dutt, N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Spiking neuron model of basal forebrain enhancement of visual attention</atitle><btitle>The 2012 International Joint Conference on Neural Networks (IJCNN)</btitle><stitle>IJCNN</stitle><date>2012-01-01</date><risdate>2012</risdate><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>2161-4393</issn><eissn>2161-4407</eissn><isbn>9781467314886</isbn><isbn>1467314889</isbn><eisbn>9781467314893</eisbn><eisbn>9781467314909</eisbn><eisbn>1467314897</eisbn><eisbn>1467314900</eisbn><abstract>Attentional mechanisms allow the brain to enhance the representation and transmission of certain signals at the expense of others. The basal forebrain has been shown to play an important role in attention through its diverse set of interactions with sensory and associational areas. A recent empirical study indicates that the nucleus basalis, a subset of neurons located in the basal forebrain, is important for improving sensory processing by increasing reliability and decreasing redundancy in the cortex and thalamus [1, 2]. We developed a spiking neural network model that simulates the nucleus basalis' interaction with the thalamus and visual cortex. In this model, we simulated two modes of action by which it is thought that the nucleus basalis may be influencing sensory processing: (1) inhibitory projections from the nucleus basalis to the thalamic reticular nucleus, which disinhibit the lateral geniculate nucleus (LGN) and gate information into the cortex, and (2) cholinergic excitation of inhibitory neurons in the visual cortex. We showed that the inhibition of the thalamic reticular nucleus GABAergic neurons leads to an increase in the reliability of spikes in the LGN and cortex. We observed that a decrease in the burst to tonic firing ratio in the LGN, coupled with the cholinergic system increasing inhibition in the visual cortex caused decorrelation in the cortex. These findings will help us better understand the mechanisms behind the control of attention by the basal forebrain and shed light on how the orchestrated action of the basal forebrain on multiple target areas can improve information processing in the brain.</abstract><pub>IEEE</pub><doi>10.1109/IJCNN.2012.6252578</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2161-4393 |
ispartof | The 2012 International Joint Conference on Neural Networks (IJCNN), 2012, p.1-8 |
issn | 2161-4393 2161-4407 |
language | eng |
recordid | cdi_ieee_primary_6252578 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | attention Brain modeling computational neuroscience Correlation Decorrelation microcircuit neuromodulation Neurons Niobium Reliability spiking neurons vision Visualization |
title | Spiking neuron model of basal forebrain enhancement of visual attention |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T14%3A49%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Spiking%20neuron%20model%20of%20basal%20forebrain%20enhancement%20of%20visual%20attention&rft.btitle=The%202012%20International%20Joint%20Conference%20on%20Neural%20Networks%20(IJCNN)&rft.au=Avery,%20M.&rft.date=2012-01-01&rft.spage=1&rft.epage=8&rft.pages=1-8&rft.issn=2161-4393&rft.eissn=2161-4407&rft.isbn=9781467314886&rft.isbn_list=1467314889&rft_id=info:doi/10.1109/IJCNN.2012.6252578&rft_dat=%3Cieee_6IE%3E6252578%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781467314893&rft.eisbn_list=9781467314909&rft.eisbn_list=1467314897&rft.eisbn_list=1467314900&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6252578&rfr_iscdi=true |