SIMULATOR FOR SELF-FORMING NETWORKS OF INFORMAL NEURONS Russian patent published in 2013 - IPC G06N3/06 

FIELD: medicine.

SUBSTANCE: simulator comprises a number of neuron-like elements each of which contains synaptic weight changing units, a summation unit, a comparator, a converter, a random number generator, a multiplier unit, a pulse strobing unit and a prolongation unit controlling the comparator, as well as a summation unit with a regenerative loop.

EFFECT: improving the accuracy of the neural network simulation taking into account the real properties of the human and animal cerebral neurons, better understanding of the processes taking place in the prototype neuron, the use of the reproduced signal processing processes in the nerve cells to re-create artificial intelligence systems.

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