Modeling Biological Systems: Principles and Applications
Modeling Biological Systems: Principles and Applications
A QoS network architecture to interconnect large-scale VLSI neural networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
Hi-index | 0.00 |
This paper presents the SEPELYNS architecture that permits to interconnect multiple spiking neurons focused on hardware implementations. SEPELYNS can connect millions of neurons with thousands of synapses per neuron in a layered fabric that provides some capabilities such as connectivity, expansion, flexibility, bio-plausibility and reusing of resources that allows simulation of very large networks. We present the three layers of this architecture (neuronal, network adapters and networks on chip layers) and explain its performance parameters such as throughput, latency and hardware resources. Some application examples of large neural networks on SEPELYNS are studied; these will show that use of on-chip parallel networks could permit the hardware simulation of populations of spiking neurons.