Head of division

Prof. Dr. Dr. Birger Kollmeier

+49 (0)441 798 5466 oder 5470

W30 3-313


Katja Warnken

+49 (0)441 798 5470

+49 (0)441 798-3902

W30 3-312

Address (Mail address)

Medizinische Physik, Fakultät VI
Universität Oldenburg
26111 Oldenburg

Location / How to find us

For specific questions regarding one of our research topics, please contact the respective people directly (see staff list).

Paper Meyer Diepenbrock et al 2014

Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex

Arne F. Meyer, Jan-Philipp Diepenbrock, Frank W. Ohl, Jörn Anemüller (2014) Frontiers in Computational Neuroscience 8:165; doi: 10.3389/fncom.2014.00165; 23 December 2014

Temporal variability of neuronal response characteristics during sensory stimulation is a ubiquitous phenomenon that may reflect processes such as stimulus-driven adaptation, top-down modulation or spontaneous fluctuations. It poses a challenge to functional characterization methods such as the receptive field, since these often assume stationarity. We propose a novel method for estimation of sensory neurons' receptive fields that extends the classic static linear receptive field model to the time-varying case. Here, the long-term estimate of the static receptive field serves as the mean of a probabilistic prior distribution from which the short-term temporally localized receptive field may deviate stochastically with time-varying standard deviation. The derived corresponding generalized linear model permits robust characterization of temporal variability in receptive field structure also for highly non-Gaussian stimulus ensembles. We computed and analyzed short-term auditory spectro-temporal receptive field (STRF) estimates with characteristic temporal resolution 5-30 s based on model simulations and responses from in total 60 single-unit recordings in anesthetized Mongolian gerbil auditory midbrain and cortex. Stimulation was performed with short (100 ms) overlapping frequency-modulated tones. Results demonstrate identification of time-varying STRFs, with obtained predictive model likelihoods exceeding those from baseline static STRF estimation. Quantitative characterization of STRF variability reveals a higher degree thereof in auditory cortex compared to midbrain. Cluster analysis indicates that significant deviations from the long-term static STRF are brief, but reliably estimated. We hypothesize that the observed variability more likely reflects spontaneous or state-dependent internal fluctuations that interact with stimulus-induced processing, rather than experimental or stimulus design.

KEYWORDS: auditory cortex; generalized linear model; inferior colliculus; receptive field; sensory coding; time-varying; zero-mean prior

Link to the publication

(Changed: 20 Apr 2022)