Code for information theoretic analysis 

Many of our studies are based on information-theoretic analyses. Recent studies use Copula Methods developped by  Robin Ince available here.  Previously we relied on the ibtb toolbox for Matlab. Pyentropy is also an efficient Python package. 

Auditory saliency map

The matlab code for the auditory saliency map, as well as some example sounds and data are available here.

See "Mechanisms for allocating auditory attention: An auditory saliency map." Kayser C et al Current Biology 15(21), 1943-1947, 2005, for details. 

Naturalistic acoustic stimuli from Kayser et al Neuron '09

You can download the sequence of natural sounds used for our unit recordings and EEG studies here.

See "Spike-phase coding boosts and stabilizes the information carried by spatial and temporal spike patterns." Kayser C et al Neuron 61(4), 597-608, 2009, and "EEG phase patterns reflect the selectivity of neural firing". Ng et al Cerebral Cortex, 23(2), 389-398, 2013.

Cat-Cam. The world from a cat's perspective

The video sequences used to analyse statistical regularities of natural scenes are available upon request. A short video segment can be found here.

See 'Temporal correlations of orientations in natural scenes'. Kayser C et al Neurocomputing 52, 117-123, 2003. and Responses to natural scenes in cat V1. Kayser C et al J. of Neurophysiology 90(3), 1910-1920, 2003

The rhythmic sampling of auditory scenes

The data and matlab code for this study can be found here.

See Evidence for the rhythmic perceptual sampling of auditory scenes. C Kayser. BiorXiv  April 2019