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Information theory and neural coding
This approach shows that dynamic stimuli can be encoded efficiently by single neurons and that each spike contributes to information transmission, and argues that the data obtained so far do not suggest a temporal code, in which the placement of spikes relative to each other yields additional information.
Natural speech reveals the semantic maps that tile human cerebral cortex
- Alexander G. Huth, W. D. Heer, T. Griffiths, F. Theunissen, J. Gallant
- Computer ScienceNature
- 8 March 2016
This study systematically map semantic selectivity across the cortex using voxel-wise modelling of functional MRI data collected while subjects listened to hours of narrative stories, and uses a novel generative model to create a detailed semantic atlas.
Spectral-Temporal Receptive Fields of Nonlinear Auditory Neurons Obtained Using Natural Sounds
The results show that the STRF model is an incomplete description of response properties of nonlinear auditory neurons, but that linear receptive fields are still useful models for understanding higher level sensory processing, as long as the STRFs are estimated from the responses to relevant complex stimuli.
The Modulation Transfer Function for Speech Intelligibility
The determination of the speech MTF furnishes an additional method for producing speech signals with reduced bandwidth but high intelligibility and evaluated the importance of spectrotemporal modulations for vocal gender identification and found a different region of interest.
Modulation spectra of natural sounds and ethological theories of auditory processing.
It is shown how to create synthetic sounds with first and second order envelope statistics identical to those found in natural sounds, and postulated that the auditory system as well as engineering applications may exploit these statistical properties to obtain an efficient representation of behaviorally relevant sounds.
Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds
It is demonstrated that ensembles of auditory neurons are tuned to auditory features that enhance the acoustic differences between classes of natural sounds, and among the songs of individual birds.
Feature analysis of natural sounds in the songbird auditory forebrain.
This study obtains neural responses from several regions of the songbird auditory forebrain to a large ensemble of bird songs and uses this data to calculate the spectral temporal receptive field (STRFs), which are the best linear model of the spectral-temporal features of sound to which auditory neurons respond.
Representation of sensory information in the cricket cercal sensory system. I. Response properties of the primary interneurons.
Six different types of primary wind-sensitive interneurons in the cricket cercal sensory system were tested for their sensitivity to the orientation and peak velocity of unidirectional airflow stimuli, which revealed broad, symmetrical, single-lobed directional sensitivity tuning curves that could be accurately represented as truncated sine waves with 360 degree period.
Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.
A generalized reverse correlation technique that can be used to estimate the spatio-temporal receptive fields (STRFs) of sensory neurons from their responses to arbitrary stimuli, as well as neurophysiological data comparing STRFs estimated using natural versus synthetic stimulus ensembles.
Temporal encoding in nervous systems: A rigorous definition
We propose a rigorous definition for the termtemporal encoding as it is applied to schemes for the representation of information withinpatterns of neuronal action potentials, and distinguish temporal…