SIGNAL PROCESSING METHOD IN A NEURAL NETWORK

The present invention concerns a method of processing signals in a neural network comprising a set of neurons interconnected by a set of synapses, with each neuron comprising a soma and a set of apical and/or basal dendrites. According to an embodiment, the method comprises: updating at least one synaptic input signal configured to be received at input nodes of one or more neurons; updating the corresponding basal potential of at least one of the basal dendrites; updating the corresponding apical potential of at least one of the apical dendrites; updating a potential differential for at least one neuron by using at least the updated apical and basal potentials; updating the somatic potential of at least one of the somas by using at least the corresponding updated potential differentials; updating the prospective potential of at least one neuron by using at least the corresponding updated somatic potentials and potential differentials; and generating a neuronal output signal for at least one neuron by using the corresponding updated prospective potentials. The method may further comprise updating prospective and/or membrane time constants, as well as synaptic weights for a subset of neurons using a subset of the above-mentioned variables.