Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
The traditional dilemma for performing network simulations with analog circuits is the great difficulty of handling the connectivity in hardware. The main problem is that hardware...
Quan Zou, Yannick Bornat, Jean Tomas, Sylvie Renau...
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Da...
Mammalian brains consisting of up to 1011 neurons belong to group of the most complex systems in the Universe. For years they have been one of the hardest objects of simulation. Th...