PROPOSITION OF PHYSIOLOGICALLY PLAUSIBLE NEURONAL NETWORK FOR THE SIMULATION OF THE PRIMARY VISUAL CORTEX OF THE MACAQUE MONKEY

摘要

New technology to the cerebral data acquisition combined to the capacity of the nowadays computer process allows the construction of neural networks models, with similar characteristics to the biological neurons, capable of reproduce the operation of complex neuron structures. These models can generate data that can direct be related to those generated by the real biological system. In this work a computational structure is suggested to a neural network with natural characteristics, corresponding to the macaque monkey visual system, in way to situate the memory needs and processing inside the available computers performances.