Sound representation methods for spectro-temporal receptive field estimation |
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Authors: | Patrick Gill Junli Zhang Sarah M N Woolley Thane Fremouw Frédéric E Theunissen |
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Institution: | (1) Biophysics Group, University of California at Berkeley, 3210, Tolman Hall, Berkeley, CA, 94720;(2) Department of Psychology and Neurosciences Institute, University of California at Berkeley, 3210 Tolman Hall, Berkeley, CA, 94720 |
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Abstract: | The spectro-temporal receptive field (STRF) of an auditory neuron describes the linear relationship between the sound stimulus
in a time-frequency representation and the neural response. Time-frequency representations of a sound in turn require a nonlinear
operation on the sound pressure waveform and many different forms for this non-linear transformation are possible. Here, we
systematically investigated the effects of four factors in the non-linear step in the STRF model: the choice of logarithmic
or linear filter frequency spacing, the time-frequency scale, stimulus amplitude compression and adaptive gain control. We
quantified the goodness of fit of these different STRF models on data obtained from auditory neurons in the songbird midbrain
and forebrain. We found that adaptive gain control and the correct stimulus amplitude compression scheme are paramount to
correctly modelling neurons. The time-frequency scale and frequency spacing also affected the goodness of fit of the model
but to a lesser extent and the optimal values were stimulus dependant.
Action Editor: Israel Nelken |
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Keywords: | Receptive field Zebra finch STRF Reverse correlation Auditory cortex |
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