A configurable qualitative-modeling-based silicon neuron circuit
Author:
Affiliation:
1. Institute of Industrial Science, University of Tokyo
2. Department of Mechanical and Intelligent Engineering, Utsunomiya University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine
Link
https://www.jstage.jst.go.jp/article/nolta/8/1/8_25/_pdf
Reference32 articles.
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3. [3] M.F. Simoni and S.P. DeWeerth, “Two-dimensional variation of bursting properties in a silicon-neuron half-center oscillator,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 3, pp. 281-289, September 2006.
4. [4] N. Qiao, H. Mostafa, F. Corradi, M. Osswald, F. Stefanini, D. Sumislawska, and G. Indiveri, “A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses,” Frontiers in Neuroscience, vol. 9, no. 141, pp. 1-17, April 2015.
5. [5] C. Mayr, J. Partzsch, M. Noack, S. Hänzsche, S. Scholze, S. Höppner, G. Ellguth, and R. Schüffny, “A biological-realtime neuromorphic system in 28 nm CMOS using low-leakage switched capacitor circuits,” IEEE Transactions on Biomedical Circuits and Systems, vol. PP, no. 99, pp. 1-12, February 2015.
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