Obtain Real-Time Multi-Chip Neural Network For Cognitive Systems Translated By Amir Zjajo Version

MultiChip Neural Network for Cognitive Systems presents novel realtime, reconfigurable, multichip SNN system architecture based on localized communication, which effectively reduces the communication cost to a linear growth.
The system uses double floatingpoint 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 runtime configurability, which reduces the need for resynthesizing it, In addition, the simulator features configurable

on and offchip 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 interconnection scheme between the neurons, the intracellular concentration of different chemical compounds ions, which affect how action potentials are initiated and propagate, .