Literature DB >> 18184787

The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields.

G Björn Christianson1, Maneesh Sahani, Jennifer F Linden.   

Abstract

Neurons in the central auditory system are often described by the spectrotemporal receptive field (STRF), conventionally defined as the best linear fit between the spectrogram of a sound and the spike rate it evokes. An STRF is often assumed to provide an estimate of the receptive field of a neuron, i.e., the spectral and temporal range of stimuli that affect the response. However, when the true stimulus-response function is nonlinear, the STRF will be stimulus dependent, and changes in the stimulus properties can alter estimates of the sign and spectrotemporal extent of receptive field components. We demonstrate analytically and in simulations that, even when uncorrelated stimuli are used, interactions between simple neuronal nonlinearities and higher-order structure in the stimulus can produce STRFs that show contributions from time-frequency combinations to which the neuron is actually insensitive. Only when spectrotemporally independent stimuli are used does the STRF reliably indicate features of the underlying receptive field, and even then it provides only a conservative estimate. One consequence of these observations, illustrated using natural stimuli, is that a stimulus-induced change in an STRF could arise from a consistent but nonlinear neuronal response to stimulus ensembles with differing higher-order dependencies. Thus, although the responses of higher auditory neurons may well involve adaptation to the statistics of different stimulus ensembles, stimulus dependence of STRFs alone, or indeed of any overly constrained stimulus-response mapping, cannot demonstrate the nature or magnitude of such effects.

Mesh:

Year:  2008        PMID: 18184787      PMCID: PMC6670552          DOI: 10.1523/JNEUROSCI.1775-07.2007

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  59 in total

1.  Inferring the role of inhibition in auditory processing of complex natural stimuli.

Authors:  Nadja Schinkel-Bielefeld; Stephen V David; Shihab A Shamma; Daniel A Butts
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2.  Neuron-specific stimulus masking reveals interference in spike timing at the cortical level.

Authors:  Eric Larson; Ross K Maddox; Ben P Perrone; Kamal Sen; Cyrus P Billimoria
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3.  On the importance of static nonlinearity in estimating spatiotemporal neural filters with natural stimuli.

Authors:  Tatyana O Sharpee; Kenneth D Miller; Michael P Stryker
Journal:  J Neurophysiol       Date:  2008-03-19       Impact factor: 2.714

4.  Wiener-Volterra characterization of neurons in primary auditory cortex using poisson-distributed impulse train inputs.

Authors:  Martin Pienkowski; Greg Shaw; Jos J Eggermont
Journal:  J Neurophysiol       Date:  2009-03-25       Impact factor: 2.714

Review 5.  Computational identification of receptive fields.

Authors:  Tatyana O Sharpee
Journal:  Annu Rev Neurosci       Date:  2013-07-08       Impact factor: 12.449

Review 6.  Neural encoding of sensory and behavioral complexity in the auditory cortex.

Authors:  Kishore Kuchibhotla; Brice Bathellier
Journal:  Curr Opin Neurobiol       Date:  2018-04-27       Impact factor: 6.627

7.  New perspectives of information transformation through the auditory cortical layers.

Authors:  Günter Ehret
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-15       Impact factor: 11.205

8.  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

Review 9.  Adaptive auditory computations.

Authors:  Shihab Shamma; Jonathan Fritz
Journal:  Curr Opin Neurobiol       Date:  2014-02-11       Impact factor: 6.627

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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