Spiking Neural Networks for information representation and decoding
Alejandro Pequeño Zurro
Using information-theoretic computational analyses of real spike trains, based on the concept of intersection
information, we will determine how information about tactile stimuli is carried by neuronal populations, from peripheral to
central at various levels, and how the representation at a given stage of processing is read out to give rise to progressively
determining the final percept and its use for the task.