Literature DB >> 11929896

Cortical representation of auditory space: information-bearing features of spike patterns.

Shigeto Furukawa1, John C Middlebrooks.   

Abstract

Previous studies have demonstrated that the spike patterns of cortical neurons vary systematically as a function of sound-source location such that the response of a single neuron can signal the location of a sound source throughout 360 degrees of azimuth. The present study examined specific features of spike patterns that might transmit information related to sound-source location. Analysis was based on responses of well-isolated single units recorded from cortical area A2 in alpha-chloralose-anesthetized cats. Stimuli were 80-ms noise bursts presented from loudspeakers in the horizontal plane; source azimuths ranged through 360 degrees in 20 degrees steps. Spike patterns were averaged across samples of eight trials. A competitive artificial neural network (ANN) identified sound-source locations by recognizing spike patterns; the ANN was trained using the learning vector quantization learning rule. The information about stimulus location that was transmitted by spike patterns was computed from joint stimulus-response probability matrices. Spike patterns were manipulated in various ways to isolate particular features. Full-spike patterns, which contained all spike-count information and spike timing with 100-micros precision, transmitted the most stimulus-related information. Transmitted information was sensitive to disruption of spike timing on a scale of more than approximately 4 ms and was reduced by an average of approximately 35% when spike-timing information was obliterated entirely. In a condition in which all but the first spike in each pattern were eliminated, transmitted information decreased by an average of only approximately 11%. In many cases, that condition showed essentially no loss of transmitted information. Three unidimensional features were extracted from spike patterns. Of those features, spike latency transmitted approximately 60% more information than that transmitted either by spike count or by a measure of latency dispersion. Information transmission by spike patterns recorded on single trials was substantially reduced compared with the information transmitted by averages of eight trials. In a comparison of averaged and nonaveraged responses, however, the information transmitted by latencies was reduced by only approximately 29%, whereas information transmitted by spike counts was reduced by 79%. Spike counts clearly are sensitive to sound-source location and could transmit information about sound-source locations. Nevertheless, the present results demonstrate that the timing of the first poststimulus spike carries a substantial amount, probably the majority, of the location-related information present in spike patterns. The results indicate that any complete model of the cortical representation of auditory space must incorporate the temporal characteristics of neuronal response patterns.

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Year:  2002        PMID: 11929896     DOI: 10.1152/jn.00491.2001

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  55 in total

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Authors:  Asohan Amarasingham; Matthew T Harrison; Nicholas G Hatsopoulos; Stuart Geman
Journal:  J Neurophysiol       Date:  2011-10-26       Impact factor: 2.714

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Authors:  Marie A Gadziola; Jasmine M S Grimsley; Sharad J Shanbhag; Jeffrey J Wenstrup
Journal:  J Neurophysiol       Date:  2011-11-16       Impact factor: 2.714

3.  Ability of primary auditory cortical neurons to detect amplitude modulation with rate and temporal codes: neurometric analysis.

Authors:  Jeffrey S Johnson; Pingbo Yin; Kevin N O'Connor; Mitchell L Sutter
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

4.  Subset of thin spike cortical neurons preserve the peripheral encoding of stimulus onsets.

Authors:  Frank G Lin; Robert C Liu
Journal:  J Neurophysiol       Date:  2010-10-13       Impact factor: 2.714

5.  5-HT1A and 5-HT1B receptors differentially modulate rate and timing of auditory responses in the mouse inferior colliculus.

Authors:  Lissandra Castellan Baldan Ramsey; Shiva R Sinha; Laura M Hurley
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Review 6.  Packet-based communication in the cortex.

Authors:  Artur Luczak; Bruce L McNaughton; Kenneth D Harris
Journal:  Nat Rev Neurosci       Date:  2015-10-28       Impact factor: 34.870

7.  Encoding stimulus information by spike numbers and mean response time in primary auditory cortex.

Authors:  Israel Nelken; Gal Chechik; Thomas D Mrsic-Flogel; Andrew J King; Jan W H Schnupp
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

Review 8.  Spike train metrics.

Authors:  Jonathan D Victor
Journal:  Curr Opin Neurobiol       Date:  2005-10       Impact factor: 6.627

9.  Cortical discrimination of complex natural stimuli: can single neurons match behavior?

Authors:  Le Wang; Rajiv Narayan; Gilberto Graña; Maoz Shamir; Kamal Sen
Journal:  J Neurosci       Date:  2007-01-17       Impact factor: 6.167

10.  Rapid synaptic depression explains nonlinear modulation of spectro-temporal tuning in primary auditory cortex by natural stimuli.

Authors:  Stephen V David; Nima Mesgarani; Jonathan B Fritz; Shihab A Shamma
Journal:  J Neurosci       Date:  2009-03-18       Impact factor: 6.167

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