Seminar by Dr Dimitris Pinotsis, Welcome Trust Centre for Neuroimaging, UCL "Electrophysiological Data and the Biophysical Modelling of Local Cortical Circuits"

P302 LT, Talbot Campus, BU, 12/03/2014 14:00

Dr Pintosis obtained his PhD in September 2006 from the Department of Applied Mathematics and Theoretical Physics (DAMTP) of the University of Cambridge. After an EPRSC Research Fellowship and  lectureship in Reading University he moved to UCL where he is working at the Welcome Trust Centre for Neuroimaging ; having secured funding from EPSRC and the Wellcome Trust.

Dr Pinotsis has a strong track record and a number of landmark publications in imaging neuroscience modelling; he is also the author of the most advanced versions of the state-of the art models for neuroimaging data, the dynamic causal models. I am familiar with Dimitris work and I very strongly encourage the attendance to researchers both in machine learning and in cognitive psychology.

The title of his exciting talk is “Electrophysiological Data and the Biophysical Modelling of Local Cortical Circuits”. “Dynamic Causal Modelling (DCM) is a general framework that allows for a formal (Bayesian) analysis of the properties of neuronal populations, based upon realistic biophysical models. In the past few years, a wide variety of such models has been implemented in the DCM framework. In this talk, I will first review some of these recent advances and then focus on models that allow one to infer spatial parameters of cortical infrastructures generating electrophysiological signals (like the extent of lateral connections and the intrinsic conduction speed of signal propagation on the cortex). I will try to highlight the links between different models and address how the experimental hypothesis or question asked might inform the choice of an appropriate model”.