Dr Adam Barrett ANC, University of Edinburgh, UK Shannon Information Capacity of Discrete Synapses Fri May 15, 2009. 11.00am. Memory in biological neural systems is believed to be stored in the synaptic weights. Computational models of such memory systems have been constructed in order to investigate, for example, optimal learning rules and storage capacity. Commonly, a synaptic weight in such models is represented by an unbounded, continuous real number. However, […]

Dr Daniele Marinazzo CNRS, Paris Machine Learning applications to EEG data: phase synchronization, predictability and causality in multi-EEG recordings Monday May 4, 2009. 11.00 am The fundamental mechanisms underlying biological systems can be understood by studying complexity of recorded data and measuring in what proportion the individual components exchange information among each other. The study of phase synchronization may, in particular, reveal interactions which are highly nonlinear and do not […]