Biologically compatible neural networks with reconfigurable hardware

Juan Carlos Moctezuma, Joseph P. McGeehan, Jose Luis Nunez-Yanez
2015 Microprocessors and microsystems  
This paper presents a reconfigurable hardware neuro-simulator specifically designed to emulate biophysically accurate and biologically compatible neural networks. The platform is based on FPGA technology which is used to create real-time custom neuroprocessors with floating point accuracy and a novel hybrid time-event driven architecture for synaptic integration. Through a series of experiments the dynamics of the neuroprocessors are evaluated and compared with real neuron responses. The
more » ... of interconnecting neurons with individual synapses is tackled with a novel synaptic architecture where all incoming synapses are merged efficiently in one single accumulative process without losing biological information. The case studies demonstrate the suitability of conductance-based models and FPGA platforms to simulate living organisms' behaviour in a biological compatible context.
doi:10.1016/j.micpro.2015.09.003 fatcat:nhjuuqwcmncavg7pwxquef7b34