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Abstract:
Abstract-The inferior colliculus (IC) is the main converging
station in the auditory midbrain and important for processing
of complex sounds. However, the functional mapping of natural
complex sounds to its neural representation is not yet very well
understood, and good modeling approaches would be useful.
To evaluate prediction models, we use recordings from groups
of neurons in the Ie of guinea pigs which were acoustically
presented a set of 11 conspecific vocalizations. The different
vocalizations display various envelope types and spectral contents.
Using cross-correlation, we compare the predicted and recorded
temporal neural responses for two approaches. The first model is
a modification of the biophysically detailed Meddis model, and the
second one is a filtering approach around the neuron's preferred
frequency. Surprisingly, we find that for responses to natural
sounds from groups of neurons, the filtering approach yields
better predictions than the biophysically detailed model. Thus,
the collective, integrated response can be well described by a
frequency-band selective representation.
