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Research Paper | Electrical Engineering | China | Volume 5 Issue 3, March 2016 | Rating: 6.7 / 10
Based on Multi-FPGA Neuron Simulation Hardware Platform
Aiqing Zhao | Huiyan Li
Abstract: The nervous system is constituted a complex network of a large number of neurons coupled. Network information transmission between neurons through synaptic currents and changes in membrane voltage implemented. Due to ethical issues, animal experiments have been unable to carry out large-scale, thus computational neuroscience increasingly favored by researchers. But the traditional software simulation method has lower computational performance limitations of the study efficiency. Specific integrated circuit chip is a hardware category, with parallel computing capabilities, with its built circuit model neuron system can significantly computational efficiency pricey neural network. Currently, there are many domestic and foreign researchers of Applied Physiology characteristics of the neural circuit model of signal transduction in the nervous system. In this paper, we use multi-chip field-programmable gate array (FPGA) chip to build a model of neural information transmission circuit, and through the neurons and neural network analysis to prove the validity of the model.
Keywords: Neural Network, FPGA, Simulation, Control, Identification, LabVIEW
Edition: Volume 5 Issue 3, March 2016,
Pages: 1470 - 1473