INSTITUTO DE FISICA DE LIQUIDOS Y SISTEMAS BIOLOGICOS
Unidad Ejecutora - UE
congresos y reuniones científicas
Maximum Entropy constraints and higher-order spike correlations
LISANDRO MONTANGIE; FERNANDO MONTANI
Conferencia; XVIII Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics; 2014
To understand how information is processed by the brain we need to investigate how information is encoded by the activity of a population of neurons. Although models accounting for pairwise interactions have proved able to capture some of the most important features of population activity at the level of theretina, pairwise models are not enough to provide reliable descriptions of neural systems in general. In this work, we present an information theoretical approach to formally estimate higher-order spike correlations considering the maximum entropy principle. This formalism allows us to investigate maximum entropy costraints for evaluating higherorder spike correlations, within the information geometry framework.