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Journal article
Wiener-Volterra Characterization of Neurons in Primary Auditory Cortex Using Poisson-Distributed Impulse Train Inputs
Journal of neurophysiology, v 101(6), pp 3031-3041
01 Jun 2009
PMID: 19321635
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Abstract
An extension of the Wiener-Volterra theory to a Poisson-distributed impulse train input was used to characterize the temporal response properties of neurons in primary auditory cortex (AI) of the ketamine-anesthetized cat. Both first- and second-order “Poisson-Wiener” (PW) models were tested on their predictions of temporal modulation transfer functions (tMTFs), which were derived from extracellular spike responses to periodic click trains with click repetition rates of 2–64 Hz. Second-order (i.e., nonlinear) PW fits to the measured tMTFs could be described as very good in a majority of cases (e.g., predictability ≥80%) and were almost always superior to first-order (i.e., linear) fits. In all sampled neurons, second-order PW kernels showed strong compressive nonlinearities (i.e., a depression of the impulse response) but never expansive nonlinearities (i.e., a facilitation of the impulse response). In neurons with low-pass tMTFs, the depression decayed exponentially with the interstimulus lag, whereas in neurons with band-pass tMTFs, the depression was typically double-peaked, and the second peak occurred at a lag that correlated with the neuron's best modulation frequency. It appears that modulation-tuning in AI arises in part from an interplay of two nonlinear processes with distinct time courses.
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Details
- Title
- Wiener-Volterra Characterization of Neurons in Primary Auditory Cortex Using Poisson-Distributed Impulse Train Inputs
- Creators
- Martin Pienkowski - University of CalgaryGreg Shaw - University of CalgaryJos J. Eggermont - University of Calgary
- Publication Details
- Journal of neurophysiology, v 101(6), pp 3031-3041
- Publisher
- American Physiological Society
- Number of pages
- 11
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Audiology - 4 Year
- Web of Science ID
- WOS:000266398500027
- Scopus ID
- 2-s2.0-66349126624
- Other Identifier
- 991022025115304721
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Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Neurosciences
- Physiology