The final aim of the present project will be to gain some comprehension of how the brain stores and processes information. By considering the brain as a high dimensional non-linear system, we plan to apply information-theoretic and dynamical tools to characterize the response of single neurons as well as of neuronal assemblies to different classes of external (deterministic and stochastic) excitations. Data measured in experiments and generated by simulating networks of various sizes will be examined and compared. The information content of the experimental and numerical time series will be estimated by computing dynamical entropies and mutual information for different variables and levels of resolution.
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