Implementation of a Minimal Recurrent Spiking Neural Network in a Solid-State Device
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O. Schneegans | M. J. Rozenberg | P. Stoliar | M. Rozenberg | O. Schneegans | P. Stoliar | M. Rozenberg
[1] Xiao-Jing Wang. Decision Making in Recurrent Neuronal Circuits , 2008, Neuron.
[2] D. Prince,et al. Functional Autaptic Neurotransmission in Fast-Spiking Interneurons: A Novel Form of Feedback Inhibition in the Neocortex , 2003, The Journal of Neuroscience.
[3] D. Zipser,et al. A spiking network model of short-term active memory , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[4] M. Feigenbaum. The universal metric properties of nonlinear transformations , 1979 .
[5] Eugene M. Izhikevich,et al. Which model to use for cortical spiking neurons? , 2004, IEEE Transactions on Neural Networks.
[6] H. Sebastian Seung,et al. The Autapse: A Simple Illustration of Short-Term Analog Memory Storage by Tuned Synaptic Feedback , 2004, Journal of Computational Neuroscience.
[7] Juan Trastoy,et al. Subthreshold firing in Mott nanodevices , 2019, Nature.
[8] Yafeng Wang,et al. Autapses promote synchronization in neuronal networks , 2018, Scientific Reports.
[9] E M Glaser,et al. Autapses in neocortex cerebri: synapses between a pyramidal cell's axon and its own dendrites. , 1972, Brain research.
[10] M J Rozenberg,et al. An ultra-compact leaky-integrate-and-fire model for building spiking neural networks , 2019, Scientific Reports.
[11] A. Bacci,et al. Enhancement of Spike-Timing Precision by Autaptic Transmission in Neocortical Inhibitory Interneurons , 2006, Neuron.
[12] Hilbert J. Kappen,et al. Learning Universal Computations with Spikes , 2015, PLoS Comput. Biol..
[13] Haruhiko Nishimura,et al. Routes to Chaos Induced by a Discontinuous Resetting Process in a Hybrid Spiking Neuron Model , 2018, Scientific Reports.
[14] M. Rozenberg,et al. A Functional Spiking Neural Network of Ultra Compact Neurons , 2021, Frontiers in Neuroscience.
[15] Olivier Schneegans,et al. Biologically Relevant Dynamical Behaviors Realized in an Ultra-Compact Neuron Model , 2020, Frontiers in Neuroscience.
[16] J. Bekkers. Synaptic Transmission: Functional Autapses in the Cortex , 2003, Current Biology.
[17] Terrence J Sejnowski,et al. Simple framework for constructing functional spiking recurrent neural networks , 2019, Proceedings of the National Academy of Sciences.
[18] Bo Wang,et al. Autapses enhance bursting and coincidence detection in neocortical pyramidal cells , 2018, Nature Communications.
[19] L. F. Abbott,et al. Generating Coherent Patterns of Activity from Chaotic Neural Networks , 2009, Neuron.
[20] Manuel Le Gallo,et al. Stochastic phase-change neurons. , 2016, Nature nanotechnology.
[21] M. Hasselmo,et al. Graded persistent activity in entorhinal cortex neurons , 2002, Nature.
[22] Guangyu R. Yang,et al. Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework , 2016, PLoS Comput. Biol..
[23] Benoit Corraze,et al. Resistive Switching in Mott Insulators and Correlated Systems , 2015 .
[24] L. F. Abbott,et al. Building functional networks of spiking model neurons , 2016, Nature Neuroscience.
[25] M. Hasselmo,et al. Mechanism of Graded Persistent Cellular Activity of Entorhinal Cortex Layer V Neurons , 2006, Neuron.
[26] Marcelo Rozenberg,et al. Universal Electric‐Field‐Driven Resistive Transition in Narrow‐Gap Mott Insulators , 2013, Advanced materials.
[27] Tobi Delbrück,et al. Training Deep Spiking Neural Networks Using Backpropagation , 2016, Front. Neurosci..
[28] Wei Yi,et al. Biological plausibility and stochasticity in scalable VO2 active memristor neurons , 2018, Nature Communications.
[29] Hengtong Wang,et al. Effect of autaptic activity on the response of a Hodgkin-Huxley neuron. , 2014, Chaos.
[30] Wolfgang Maass,et al. A solution to the learning dilemma for recurrent networks of spiking neurons , 2020, Nature Communications.
[31] R. L. Nó,et al. VESTIBULO-OCULAR REFLEX ARC , 1933 .
[32] Ivan K. Schuller,et al. Challenges in materials and devices for Resistive-Switching-based Neuromorphic Computing , 2018, Journal of Applied Physics.
[33] A. Selverston,et al. Dynamical principles in neuroscience , 2006 .
[34] Wulfram Gerstner,et al. Adaptive exponential integrate-and-fire model , 2009, Scholarpedia.
[35] G. Edelman,et al. Large-scale model of mammalian thalamocortical systems , 2008, Proceedings of the National Academy of Sciences.
[36] Haim Sompolinsky,et al. Chaotic Balanced State in a Model of Cortical Circuits , 1998, Neural Computation.
[37] A. Reyes. Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro , 2003, Nature Neuroscience.
[38] Gert Cauwenberghs,et al. Neuromorphic Silicon Neuron Circuits , 2011, Front. Neurosci.
[39] Gert Cauwenberghs,et al. Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain , 2018, Front. Neurosci..
[40] F. Pasemann. A simple chaotic neuron , 1997 .
[41] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.
[42] Daniel D. Lee,et al. Stability of the Memory of Eye Position in a Recurrent Network of Conductance-Based Model Neurons , 2000, Neuron.
[43] Christopher D. Harvey,et al. Recurrent Network Models of Sequence Generation and Memory , 2016, Neuron.