Search Results for author: Giuseppe Pica

Found 3 papers, 0 papers with code

Quantifying how much sensory information in a neural code is relevant for behavior

no code implementations NeurIPS 2017 Giuseppe Pica, Eugenio Piasini, Houman Safaai, Caroline Runyan, Christopher Harvey, Mathew Diamond, Christoph Kayser, Tommaso Fellin, Stefano Panzeri

Determining how much of the sensory information carried by a neural code contributes to behavioral performance is key to understand sensory function and neural information flow.

The identity of information: how deterministic dependencies constrain information synergy and redundancy

no code implementations13 Nov 2017 Daniel Chicharro, Giuseppe Pica, Stefano Panzeri

Harder et al. (2013) proposed an identity axiom stating that there cannot be redundancy between two independent sources about a copy of themselves.

Invariant components of synergy, redundancy, and unique information among three variables

no code implementations27 Jun 2017 Giuseppe Pica, Eugenio Piasini, Daniel Chicharro, Stefano Panzeri

In a system of three stochastic variables, the Partial Information Decomposition (PID) of Williams and Beer dissects the information that two variables (sources) carry about a third variable (target) into nonnegative information atoms that describe redundant, unique, and synergistic modes of dependencies among the variables.

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