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Synchronization of the neural response to noisy periodic synaptic input
The relationship between the timing of the synaptic inputs and the output spikes of leaky integrated and firing neurons with noisy periodic synaptic input is addressed using the recently developed integrated-input technique. The conditional output spike density in response to noisy periodic input is...
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container_end_page | 273 vol.1 |
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creator | Burkitt, A.N. Clark, G.M. |
description | The relationship between the timing of the synaptic inputs and the output spikes of leaky integrated and firing neurons with noisy periodic synaptic input is addressed using the recently developed integrated-input technique. The conditional output spike density in response to noisy periodic input is evaluated as a function of the initial phase of the inputs. This enables the phase transition matrix to be calculated, which relates the phase at which the output spike is generated to the initial phase of the inputs. The interspike interval histogram and the period histogram for the neural response to ongoing periodic input are then evaluated by using the leading eigenvector of this phase transition matrix. The dependence of the synchronization index of the neural response upon the number and amplitude of synaptic inputs, the membrane time constant, the average rate of inputs and their frequency of modulation is examined. |
doi_str_mv | 10.1109/IJCNN.1999.831499 |
format | conference_proceeding |
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The conditional output spike density in response to noisy periodic input is evaluated as a function of the initial phase of the inputs. This enables the phase transition matrix to be calculated, which relates the phase at which the output spike is generated to the initial phase of the inputs. The interspike interval histogram and the period histogram for the neural response to ongoing periodic input are then evaluated by using the leading eigenvector of this phase transition matrix. 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No.99CH36339)</title><addtitle>IJCNN</addtitle><description>The relationship between the timing of the synaptic inputs and the output spikes of leaky integrated and firing neurons with noisy periodic synaptic input is addressed using the recently developed integrated-input technique. The conditional output spike density in response to noisy periodic input is evaluated as a function of the initial phase of the inputs. This enables the phase transition matrix to be calculated, which relates the phase at which the output spike is generated to the initial phase of the inputs. The interspike interval histogram and the period histogram for the neural response to ongoing periodic input are then evaluated by using the leading eigenvector of this phase transition matrix. The dependence of the synchronization index of the neural response upon the number and amplitude of synaptic inputs, the membrane time constant, the average rate of inputs and their frequency of modulation is examined.</description><subject>Australia</subject><subject>Biomembranes</subject><subject>Detectors</subject><subject>Ear</subject><subject>Fires</subject><subject>Frequency synchronization</subject><subject>Histograms</subject><subject>Neurons</subject><subject>Phase noise</subject><subject>Timing</subject><issn>1098-7576</issn><issn>1558-3902</issn><isbn>9780780355293</isbn><isbn>0780355296</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkM1qwzAQhEV_oCH1A7QnvYBd_diS91hCm6SE9NDcgyytiUoqGcs5uE9fQToM7DAf7GEIeeKs4pzBy_Zjtd9XHACqVvIa4IYseNO0pQQmbkkBumXZsmkEyLvMGLSlbrR6IEVK3yyrbnjmC7L-moM9jTH4XzP5GGjs6XRCGvAymjMdMQ0xJKRTpCH6NNMBRx-dtzTNwQxTDj4Ml-mR3PfmnLD4v0tyeH87rDbl7nO9Xb3uSq8ElM71zumaC-us0a1glmPurUKHpgc0WsnOobVKMFS2k7JvtULLwXQsA7kkz9e3HhGPw-h_zDgfryPIP7DfURA</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Burkitt, A.N.</creator><creator>Clark, G.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1999</creationdate><title>Synchronization of the neural response to noisy periodic synaptic input</title><author>Burkitt, A.N. ; Clark, G.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i629-ddfdd7412cdca7820c1e629c6edeaf9ea763bdecc620e6cb33f876ec19ab0bde3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Australia</topic><topic>Biomembranes</topic><topic>Detectors</topic><topic>Ear</topic><topic>Fires</topic><topic>Frequency synchronization</topic><topic>Histograms</topic><topic>Neurons</topic><topic>Phase noise</topic><topic>Timing</topic><toplevel>online_resources</toplevel><creatorcontrib>Burkitt, A.N.</creatorcontrib><creatorcontrib>Clark, G.M.</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/IET 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>Burkitt, A.N.</au><au>Clark, G.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Synchronization of the neural response to noisy periodic synaptic input</atitle><btitle>IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)</btitle><stitle>IJCNN</stitle><date>1999</date><risdate>1999</risdate><volume>1</volume><spage>268</spage><epage>273 vol.1</epage><pages>268-273 vol.1</pages><issn>1098-7576</issn><eissn>1558-3902</eissn><isbn>9780780355293</isbn><isbn>0780355296</isbn><abstract>The relationship between the timing of the synaptic inputs and the output spikes of leaky integrated and firing neurons with noisy periodic synaptic input is addressed using the recently developed integrated-input technique. The conditional output spike density in response to noisy periodic input is evaluated as a function of the initial phase of the inputs. This enables the phase transition matrix to be calculated, which relates the phase at which the output spike is generated to the initial phase of the inputs. The interspike interval histogram and the period histogram for the neural response to ongoing periodic input are then evaluated by using the leading eigenvector of this phase transition matrix. The dependence of the synchronization index of the neural response upon the number and amplitude of synaptic inputs, the membrane time constant, the average rate of inputs and their frequency of modulation is examined.</abstract><pub>IEEE</pub><doi>10.1109/IJCNN.1999.831499</doi><oa>free_for_read</oa></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Australia Biomembranes Detectors Ear Fires Frequency synchronization Histograms Neurons Phase noise Timing |
title | Synchronization of the neural response to noisy periodic synaptic input |
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