Implementation of the neocognitron on a SIMD architecture
J.N.P. Neveu, Mohan Kumar · 2002
We consider the implementation of one of the most complex neural networks, the neocognitron, on a SIMD parallel machine. The neocognitron is a network with a heavy cell load and intricate interconnections among its neurons or cells. Its structure is qualitatively similar to the mammalian visual system and its algorithm exhibits data parallelism at several levels. The proposed implementation makes use of an optimal mapping strategy exploring this data parallelism and the communication network of the MasPar Mp12000 SIMD computer.>