Artificial neural development for pulsed neural network design-a simulation experiment on animat´s cognitive map genesis

We propose the artificial neural development method that generates the three-dimensional multi-regional pulsed neural network arranged in three layers of the nerve area layer, the nerve sub-area layer, and the cell layer. In this method, the neural development process consists of the first genome-controlled spatiotemporal generation of a neural network structure and the latter spiking activity-dependent regulation of it. For design of genomes, the steady state genetic algorithm is used and it is applied to genomes partially designed manually. Simulation experiments are conducted to generate pulsed neural networks of an animat that moves in an environment. We evolve and develop an animat´s cognitive map as a multi-regional place recognition circuit that focuses on the place cell area. Through these experiments, we confirm that our method is useful for designing a multi-regional pulsed neural network of the animat that shows biologically realistic features