SPIN: THE SEQUENTIAL PIPELINED NEUROEMULATOR
Stamatis Vassiliadis, G.G. Pechanek, Jose G. Delgado-Frias · International Journal of Artificial Intelligence Tools · 1993
This paper proposes a novel digital neural network architecture referred to as the Sequential PIpelined Neuroemulator or Neurocomputer (SPIN). The SPIN processor emulates neural networks producing high performance with minimum hardware by sequentially processing each neuron in the modeled completely connected network with a pipelined physical neuron structure. In addition to describing SPIN, performance equations are estimated for the ring systolic, the recurrent systolic array, and the neuromimetic neurocomputer architectures, three previously reported schemes for the emulation of neural networks, and a comparison with the SPIN architecture is reported.