A digital neuro-chip with unlimited connectability for large scale neural networks

Abstract
A digital neurochip has been fabricated by using a 1.3- mu m CMOS gate array. Six neurons and 84 synapses are implemented in the chip. The output of each neuron is encoded by impulse density and each synapse has 64 levels of modifiable weight. By simply connecting chips, a neural network can be scaled up without limit. A neural network board has been made to simulate a neural network of 54 neurons fully interconnected by excitatory and inhibitory synapses. The network is controlled by a digital computer. Synaptic weights and the internal potential of each neuron can be set and monitored by the computer. A wide range of neural networks can be simulated by the neural network board in combination with the computer.

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