Neural encoding of global statistical features of natural sounds.

Neural Processing of Natural Sounds

Statistical models for natural sounds

It is important to understand the rich structure of natural sounds in order to solve important tasks, like automatic speech recognition, and to understand auditory processing in the brain. This thesis takes a step in this direction by characterising the statistics of simple natural sounds. We focus on the statistics because perception often appears to depend on them, rather than on the raw wave...

Modulation power and phase spectrum of natural sounds enhance neural encoding performed by single auditory neurons.

We examined the neural encoding of synthetic and natural sounds by single neurons in the auditory system of male zebra finches by estimating the mutual information in the time-varying mean firing rate of the neuronal response. Using a novel parametric method for estimating mutual information with limited data, we tested the hypothesis that song and song-like synthetic sounds would be preferenti...

Encoding of natural sounds in the human brain

Moerel M, De Martino F, Santoro R, Ugurbil K, Yacoub E, Formisano E (2012)Octave-based spectral tuning in human auditory cortex. 5th Conference on Au-ditory Cortex, Lausanne, Switserland.Moerel M, De Martino F, Santoro R, Ugurbil K, Yacoub E, Formisano E (2012) Functional networks in auditory cortex defined by a data-driven analysis of neu-ronal population spectral tuning. 18th ...

Spatial Encoding Using Differences of Global Features

While histogram or global feature approaches are powerful methods to encode image information for retrieval purposes, they suffer from a complete lack of spatial information. One possibility to reduce this shortcoming is to store feature vectors of subregions. However, this procedure increases the size of the index vector. The paper suggests to store only the differences of the features between...