ARTIFICIAL COGNITIVE SYSTEM WITH AMARI-TYPE DYNAMICS OF A NEURAL FIELD

摘要

Problem: Efficiently simulating an Amari dynamics of a neural field (a), the Amari dynamics being specified by the equation (1) where (2) is the state of the neural field (a), represented in a spatial domain (SR) using coordinates (3), (4) is a function stating the input to the neural field at time t, f[.] is a bounded monotonic transfer function having values between 0 and 1, (5) is an interaction kernel, (6) specifies the time scale on which the neural field (a) changes and h is a constant specifying the global excitation or inhibition of the neural field (a). Solution: A method for simulating an Amari dynamics of a neural field (a), comprising the step of simulating an application of the transfer function (f) to the neural field (a). According to the invention, the step of simulating an application of the transfer function (f) comprises smoothing the neural field (a) by applying a smoothing operator (S).