A generalized asynchronous digital spiking neuron: Theoretical analysis and compartmental model
暂无分享,去创建一个
[1] R.H. Lee,et al. Methodology and Design Flow for Assisted Neural-Model Implementations in FPGAs , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[2] J. A. Kuznecov. Elements of applied bifurcation theory , 1998 .
[3] Eugene M. Izhikevich,et al. Which model to use for cortical spiking neurons? , 2004, IEEE Transactions on Neural Networks.
[4] Kwabena Boahen,et al. Silicon-Neuron Design: A Dynamical Systems Approach , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.
[5] Tetsuya Hishiki,et al. A Novel Rotate-and-Fire Digital Spiking Neuron and its Neuron-Like Bifurcations and Responses , 2011, IEEE Transactions on Neural Networks.
[6] Eduardo Ros,et al. Real-time computing platform for spiking neurons (RT-spike) , 2006, IEEE Trans. Neural Networks.
[7] Nikil D. Dutt,et al. A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors , 2009, Neural Networks.
[8] Toshimichi Saito,et al. Reconfigurable Digital Spiking Neuron and Its Pulse-Coupled Network: Basic Characteristics and Potential Applications , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.
[9] Arindam Basu,et al. Neural Dynamics in Reconfigurable Silicon , 2010, IEEE Transactions on Biomedical Circuits and Systems.
[10] Anthony G. Pipe,et al. Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach , 2007, IEEE Transactions on Neural Networks.
[11] Eugene M. Izhikevich,et al. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting , 2006 .
[12] Tetsuya Hishiki,et al. A Generalized Rotate-and-Fire Digital Spiking Neuron Model and Its On-FPGA Learning , 2011, IEEE Transactions on Circuits and Systems II: Express Briefs.
[13] Takashi Matsubara,et al. A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses , 2011, The 2011 International Joint Conference on Neural Networks.
[14] Sylvie Renaud,et al. Real-Time Simulation of Biologically Realistic Stochastic Neurons in VLSI , 2010, IEEE Transactions on Neural Networks.
[15] C. Budd,et al. Review of ”Piecewise-Smooth Dynamical Systems: Theory and Applications by M. di Bernardo, C. Budd, A. Champneys and P. 2008” , 2020 .
[16] Sylvie Renaud,et al. A $Q$ -Modification Neuroadaptive Control Architecture for Discrete-Time Systems , 2010 .
[17] Gert Cauwenberghs,et al. Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses , 2007, IEEE Transactions on Neural Networks.
[18] Sho Hashimoto,et al. A Novel Hybrid Spiking Neuron: Bifurcations, Responses, and On-Chip Learning , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.
[19] Takashi Matsubara,et al. Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model , 2011, ICONIP.
[20] P. Holmes,et al. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.
[21] G. Bi,et al. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type , 1998, The Journal of Neuroscience.