Information Theory in Neuroscience

Front Cover
Stefano Panzeri, Eugenio Piasini
MDPI, Mar 15, 2019 - Mathematics - 280 pages

 As the ultimate information processing device, the brain naturally lends itself to being studied with information theory. The application of information theory to neuroscience has spurred the development of principled theories of brain function, and has led to advances in the study of consciousness, as well as to the development of analytical techniques to crack the neural code—that is, to unveil the language used by neurons to encode and process information. In particular, advances in experimental techniques enabling the precise recording and manipulation of neural activity on a large scale now enable for the first time the precise formulation and the quantitative testing of hypotheses about how the brain encodes and transmits the information used for specific functions across areas.

This Special Issue presents twelve original contributions on novel approaches in neuroscience using information theory, and on the development of new information theoretic results inspired by problems in neuroscience.

 

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About the author (2019)

 Stefano Panzeri is a computational neuroscientist who works at the interface between theory and experiments, and investigates how circuits of neurons in the brain encode sensory information and generate behaviour. He graduated in Theoretical Physics at Turin University and then did a PhD in Computational Neuroscience at SISSA, Trieste, Italy. In previous years, he took Fellowships and/or Faculty jobs at the Universities of Oxford, Newcastle, Manchester and Glasgow in the UK, and Harvard Medical School in the US. He currently works as Senior Scientist with Tenure at the Istituto Italiano di Tecnologia in Rovereto, Italy. Eugenio Piasini is interested in understanding how the brain performs inference and prediction in noisy, changing environments. In his work he aims to reconcile bottom-up statistical modelling of experimental data with a top-down perspective from normative theories of brain function. He holds a PhD from University College London, and he did postdoctoral work at the Italian Institute of Technology. He is now a Fellow (independent postdoc) of the Computational Neuroscience Initiative at the University of Pennsylvania.

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