Literature DB >> 6976342

Spectro-temporal characterization of auditory neurons: redundant or necessary.

J J Eggermont, A M Aertsen, D J Hermes, P I Johannesma.   

Abstract

For neurons in the auditory midbrain of the grass frog the use of a combined spectro-temporal characterization has been evaluated against the separate characterizations of frequency-sensitivity and temporal response properties. By factoring the joint density function of stimulus intensity, I (f, t), preceding a spike, into two marginal density functions I1(f) and I2(t) one may under the assumption of statistical independence reconstruct the joint density by multiplication: I1(f).I2(t). The reconstructed I(f, t) is compared to the original I(f, t) for 83 neurons: in 23% thereof the I(f, t) appeared to be vastly different from I(f, t). These units appeared to be located dominantly in the ventral parts of the auditory midbrain and had a latency exceeding 30 ms. On the basis of the action-potential wave forms the absence of non-separable I(f, t) in the incoming nerve fiber population is concluded. A spectro-temporal characterization of auditory neurons seems mandatory for investigations in and central from the auditory midbrain.

Entities:  

Mesh:

Year:  1981        PMID: 6976342     DOI: 10.1016/0378-5955(81)90030-7

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  13 in total

1.  Robust spectrotemporal reverse correlation for the auditory system: optimizing stimulus design.

Authors:  D J Klein; D A Depireux; J Z Simon; S A Shamma
Journal:  J Comput Neurosci       Date:  2000 Jul-Aug       Impact factor: 1.621

2.  Auditory space-time receptive field dynamics revealed by spherical white-noise analysis.

Authors:  R L Jenison; J W Schnupp; R A Reale; J F Brugge
Journal:  J Neurosci       Date:  2001-06-15       Impact factor: 6.167

3.  Stimulus-invariant processing and spectrotemporal reverse correlation in primary auditory cortex.

Authors:  David J Klein; Jonathan Z Simon; Didier A Depireux; Shihab A Shamma
Journal:  J Comput Neurosci       Date:  2006-02-20       Impact factor: 1.621

4.  Nonlinear cross-frequency interactions in primary auditory cortex spectrotemporal receptive fields: a Wiener-Volterra analysis.

Authors:  Martin Pienkowski; Jos J Eggermont
Journal:  J Comput Neurosci       Date:  2010-01-14       Impact factor: 1.621

5.  Patterned tone sequences reveal non-linear interactions in auditory spectrotemporal receptive fields in the inferior colliculus.

Authors:  W Owen Brimijoin; William E O'Neill
Journal:  Hear Res       Date:  2010-04-27       Impact factor: 3.208

Review 6.  Hierarchical representations in the auditory cortex.

Authors:  Tatyana O Sharpee; Craig A Atencio; Christoph E Schreiner
Journal:  Curr Opin Neurobiol       Date:  2011-06-23       Impact factor: 6.627

7.  A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings.

Authors:  Monty A Escabí; Heather L Read; Jonathan Viventi; Dae-Hyeong Kim; Nathan C Higgins; Douglas A Storace; Andrew S K Liu; Adam M Gifford; John F Burke; Matthew Campisi; Yun-Soung Kim; Andrew E Avrin; Van der Spiegel Jan; Yonggang Huang; Ming Li; Jian Wu; John A Rogers; Brian Litt; Yale E Cohen
Journal:  J Neurophysiol       Date:  2014-06-11       Impact factor: 2.714

8.  Stimulus dependent neural correlations in the auditory midbrain of the grassfrog (Rana temporaria L.).

Authors:  J J Eggermont; W J Epping; A M Aertsen
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086

9.  Statistical and dimensional analysis of the neural representation of the acoustic biotope of the frog.

Authors:  P Johannesma; A Aertsen
Journal:  J Med Syst       Date:  1982-08       Impact factor: 4.460

10.  Lagged cells in the inferior colliculus of the awake ferret.

Authors:  Barak Shechter; Peter Marvit; Didier A Depireux
Journal:  Eur J Neurosci       Date:  2009-12-18       Impact factor: 3.386

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.