Wiring considerations in analog VLSI systems, with application to field-programmable networks
Wiring considerations in analog VLSI systems, with application to field-programmable networks
A SIMD/Dataflow Architecture for a Neurocomputer for Spike-Processing Neural Networks (NESPINN)
MICRONEURO '96 Proceedings of the 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems
Importance of SIMD Computation Reconsidered
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Hardware spiking neural network with run-time reconfigurable connectivity in
EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
Bottlenecks in Multimedia Processing with SIMD Style Extensions and Architectural Enhancements
IEEE Transactions on Computers
PERPLEXUS: Pervasive Computing Framework for Modeling Complex Virtually-Unbounded Systems
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
The Perplexus bio-inspired reconfigurable circuit
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
A reconfigurable architecture for emulating large-scale bio-inspired systems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
POEtic: a prototyping platform for bio-inspired hardware
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
IEEE Transactions on Neural Networks
Real-time computing platform for spiking neurons (RT-spike)
IEEE Transactions on Neural Networks
Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses
IEEE Transactions on Neural Networks
JubiTool: unified design flow for the Perplexus SIMD hardware accelerator
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Ubichip, ubidule, and marxbot: a hardware platform for the simulation of complex systems
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
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SpiNDeK (Spiking Neural Network Design Kit) is an integrated design tool intended to support the development of emulation of complex bioinspired neural networks. In this work, the most relevant aspects of the tool are reported, regarding the generation of connections as well as synapse and neuron parameters of spiking neural networks as well as the automated code generation and simulation, ready to be executed by an ad-hoc parallel architecture. The tool is fully functional and has demonstrated its usefulness.