Real-Time Multi-Chip Neural Network for Cognitive Systems Tapa dura - 2019

Hardback. New. Presents novel real-time, reconfigurable, multi-chip SNN system architecture based on localized communication, which effectively reduces the communication cost to a linear growth. The system uses double floating-point arithmetic for the most biologically accurate cell behaviour simulation.

River Publishers, 2019. Hardcover. New. 232 pages. 9.50x6.25x0.75 inches.

River Publishers, 2018 8vo (24 cm), XXXII, 232 pp. Publisher's laminated boards. "Real-Time Multi-Chip Neural Network for Cognitive Systems presents novel real-time, reconfigurable, multi-chip SNN system architecture based on localized communication, which effectively reduces the communication cost to a linear growth. The system uses double floating-point arithmetic for the most biologically accurate cell behavior simulation, and is flexible enough to offer an easy implementation of various neuron network topologies, cell communication schemes, as well as models and kinds of cells. The system offers a high run-time configurability, which reduces the need for resynthesizing it. In addition, the simulator features configurable on- and off-chip communication latencies as well as neuron calculation latencies. All parts of the system are generated automatically based on the neuron interconnection scheme in use. The simulator allows exploration of different system configurations, e.g. the… Leer más