Neural encoding of sound stimuli a mutual information analysis of EEG signals

1. Neural encoding of sound stimuli a mutual information analysis of EEG signals Adrian Radillo1under the supervision ofDrJames Harte2 Contact:a.e.radillo@warwick.ac.uk 1Warwick Mathematics Institute; 2Institute of Digital Healthcare How isauditorysensory information encoded by the brain? A Sound Stimulusispresented to a Subjectwhose EEG Neural Responseisthenrecorded 1. We used an information-theoretic quantity called “mutual information” to figure out how much information about the stimulus the neural response conveys. 2. The main part of our work has been to understand and reproduce the signal processing and data analysis of the neural response that appear in the literature ([1],[2]). EEG signal • BandpassFIR filters • Down-sampling and selection • Phase extraction and binning Mutual information Discussion: 1- The authors from [1] and [2] both found that the sensory information was the most apparent in the low-frequency phase of the EEG signals. 2- We could not find any theoretical justification for the stimulus model used by [1] and [2]. 3- We successfully reproduced calculations from [1] and [2] and hope that this will lead to further research in sensory neuroscience. References: [1] Cogan, G. B., & Poeppel, D. (2011). A mutual information analysis of neural coding of speech by low-frequency MEG phase information. Journal of Neurophysiology, 106(2), 554–563. [2] Magri, C., Whittingstall, K., Singh, V., Logothetis, N. K., & Panzeri, S. (2009). A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings. BMC Neuroscience, 10(1), 81.