Top-level heading

Analytical and numerical approaches to study free energy minima of associative recurrent neural networks

Categoria
Seminari di Modellistica Differenziale Numerica
Data e ora inizio evento
Data e ora fine evento
Aula
Aula G
Sede

Dipartimento di Matematica Guido Castelnuovo, Università Sapienza Roma

Speaker

Elena Agliari, Dipartimento di Matematica, SAPIENZA Università di Roma

Since the seminal works by Hebb and Pavlov (in neurophysiology) and by McCulloch, Pitts and Rosenblatt (in the electronic counterpart), the principles behind brain's information processing have inspired mathematicians and engineers in designing adaptive softwares and artificial information processing systems. In particular, the cortical modules of mammal's brain exhibit "associative memory", namely the ability to reconstruct the whole information regarding a learned pattern.