Citation Relationships

Legends: Link to a Model Reference cited by multiple papers

Matsubara T, Torikai H (2016) An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities. IEEE Trans Neural Netw Learn Syst 27:836-52 [PubMed]

References and models cited by this paper

References and models that cite this paper

Abeles M, Bergman H, Margalit E, Vaadia E (1993) Spatiotemporal firing patterns in the frontal cortex of behaving monkeys. J Neurophysiol 70:1629-38 [Journal] [PubMed]
Berger TW, Hampson RE, Song D, Goonawardena A, Marmarelis VZ, Deadwyler SA (2011) A cortical neural prosthesis for restoring and enhancing memory. J Neural Eng 8:046017 [Journal] [PubMed]
Berger TW, Song D, Chan RH, Marmarelis VZ, LaCoss J, Wills J, Hampson RE, Deadwyler SA, Granacki JJ (2012) A hippocampal cognitive prosthesis: multi-input, multi-output nonlinear modeling and VLSI implementation. IEEE Trans Neural Syst Rehabil Eng 20:198-211 [Journal] [PubMed]
Bi GQ, Poo MM (1998) Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J Neurosci 18:10464-72 [PubMed]
Bogaard A, Parent J, Zochowski M, Booth V (2009) Interaction of cellular and network mechanisms in spatiotemporal pattern formation in neuronal networks. J Neurosci 29:1677-87 [Journal] [PubMed]
   Small world networks of Type I and Type II Excitable Neurons (Bogaard et al. 2009) [Model]
Bonifazi P, Difato F, Massobrio P, Breschi GL, Pasquale V, Levi T, Goldin M, Bornat Y, Tedesco M, Bisio M, Kanner S, Galron R, Tessadori J, Taverna S, Chiappalone M (2013) In vitro large-scale experimental and theoretical studies for the realization of bi-directional brain-prostheses. Front Neural Circuits 7:40 [Journal] [PubMed]
Buzsáki G (2004) Large-scale recording of neuronal ensembles. Nat Neurosci 7:446-51 [Journal] [PubMed]
Clouse DS, Giles CL, Horne BG, Cottrell GW (1997) Time-delay neural networks: representation and induction of finite-state machines. IEEE Trans Neural Netw 8:1065-70 [Journal] [PubMed]
Cybenko G (1989) Approximation by super positions of a sigmoidal function Math Control, Signals And Systems 2:303-314 [Journal]
Diba K, Buzsáki G (2008) Hippocampal network dynamics constrain the time lag between pyramidal cells across modified environments. J Neurosci 28:13448-56 [Journal] [PubMed]
Elman JL (1990) Finding structure in time Cognitive Science 14:179-211
Ermentrout B (1996) Type I membranes, phase resetting curves, and synchrony. Neural Comput 8:979-1001 [PubMed]
Escola S, Fontanini A, Katz D, Paninski L (2011) Hidden Markov models for the stimulus-response relationships of multistate neural systems. Neural Comput 23:1071-132 [Journal] [PubMed]
Fernandes NM, Pinto BD, Almeida LO, Slaets JF, Köberle R (2010) Recording from two neurons: second-order stimulus reconstruction from spike trains and population coding. Neural Comput 22:2537-57 [Journal] [PubMed]
Gholmieh G, Courellis S, Marmarelis V, Berger T (2007) Nonlinear dynamic model of CA1 short-term plasticity using random impulse train stimulation. Ann Biomed Eng 35:847-57 [Journal] [PubMed]
Graas EL, Brown EA, Lee RH (2004) An FPGA-based approach to high-speed simulation of conductance-based neuron models. Neuroinformatics 2:417-36 [Journal] [PubMed]
Hashimoto S,Torikai H (2010) A novel hybrid spiking neuron: Bifurcations, responses, and on-chip learning IEEE Trans. Circuits Syst. I, Reg. Papers 57(8):2168-2181
Hishiki T, Torikai H (2011) A novel rotate-and-fire digital spiking neuron and its neuron-like bifurcations and responses. IEEE Trans Neural Netw 22:752-67 [Journal] [PubMed]
Ijichi H,Torikai H (2011) Analysis of m:n lockings from pulse-coupled asynchronous sequential logic spiking neurons IEICE Trans. Fundam. Electron., Commun. Comput. Sci. E94-A:2384-2393
Izhikevich EM (2003) Simple model of spiking neurons. IEEE Trans Neural Netw 14:1569-72 [Journal] [PubMed]
   Artificial neuron model (Izhikevich 2003, 2004, 2007) [Model]
Izhikevich EM (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15:1063-70 [Journal] [PubMed]
   Artificial neuron model (Izhikevich 2003, 2004, 2007) [Model]
Jaeger H (2001) The echo state approach to analyzing and training recurrent neural networks GMD Report 148
Jordan MI (1986) Attractor dynamics and parallelism in a connectionist sequential machine Proceedings of the 8th Confererence of the Cognitive Science Society :531-546
Latham PE, Richmond BJ, Nelson PG, Nirenberg S (2000) Intrinsic dynamics in neuronal networks. I. Theory. J Neurophysiol 83:808-27 [Journal] [PubMed]
Lu U, Song D, Berger TW (2011) Nonlinear dynamic modeling of synaptically driven single hippocampal neuron intracellular activity. IEEE Trans Biomed Eng 58:1303-13 [Journal] [PubMed]
Maass W, Natschläger T, Markram H (2002) Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput 14:2531-60 [Journal] [PubMed]
Markram H (2006) The blue brain project. Nat Rev Neurosci 7:153-60 [Journal] [PubMed]
Marmarelis VZ, Orme ME (1993) Modeling of neural systems by use of neuronal modes. IEEE Trans Biomed Eng 40:1149-58 [Journal] [PubMed]
Matsubara T, Torikai H (2013) Asynchronous cellular automaton-based neuron: theoretical analysis and on-FPGA learning. IEEE Trans Neural Netw Learn Syst 24:736-48 [Journal] [PubMed]
Matsubara T,Torikai H (2012) Neuron-like responses and bifurcations of a generalized asynchronous sequen tial logic spiking neuron model IEICE Trans. Fundam. Electron., Commun. Comput. Sci. E95-A:1317-1328
Matsubara T,Torikai H (2013) Bifurcation-based synthesis of asynchronous cellular automaton based neuron IEICE Nonlinear Theory Appl. 4(1):111-126
Matsubara T,Torikai H (2013) A novel reservoir network of asynchronous cellular automaton based neurons for MIMO neural system reproduction Proc. Int. Joint Conf. Neural Netw. :1-7
McCulloch WS, Pitts W (1990) A logical calculus of the ideas immanent in nervous activity. 1943. Bull Math Biol 52:99-115; discussion 73-97 [PubMed]
Mizuseki K, Sirota A, Pastalkova E, Buzsáki G (2009) Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop. Neuron 64:267-80 [Journal] [PubMed]
Mizuseki K,Sirota A,Pastalkova E,Buzsák G (2013) Multiple single unit recordings from different rat hippocampal and entorhinal regions while the animals were performing multiple behavioral tasks Proc. [Journal]
Ponulak F, Kasinski A (2010) Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting. Neural Comput 22:467-510 [Journal] [PubMed]
RALL W (1962) Electrophysiology of a dendritic neuron model. Biophys J 2:145-67 [PubMed]
Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323:533-536
Safiulina VF, Caiati MD, Sivakumaran S, Bisson G, Migliore M, Cherubini E (2010) Control of GABA Release at Mossy Fiber-CA3 Connections in the Developing Hippocampus. Front Synaptic Neurosci 2:1 [Journal] [PubMed]
   CA3 pyramidal neuron (Safiulina et al. 2010) [Model]
Schwartz O, Pillow JW, Rust NC, Simoncelli EP (2006) Spike-triggered neural characterization. J Vis 6:484-507 [Journal] [PubMed]
Simoncelli EP, Paninski L, Pillow J, Schwartz O (2004) Characterization of neural responses with stochastic stimuli The New Cognitive Neurosciences (3rd ed), Gazzaniga M, ed.
Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW (2007) Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses. IEEE Trans Biomed Eng 54:1053-66 [Journal] [PubMed]
Song S, Sjöström PJ, Reigl M, Nelson S, Chklovskii DB (2005) Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol 3:e68 [Journal] [PubMed]
Sporea I, Grüning A (2013) Supervised learning in multilayer spiking neural networks. Neural Comput 25:473-509 [Journal] [PubMed]
Theunissen F, Miller JP (1995) Temporal encoding in nervous systems: a rigorous definition. J Comput Neurosci 2:149-62 [PubMed]
Torikai H, Funew A, Saito T (2008) Digital spiking neuron and its learning for approximation of various spike-trains. Neural Netw 21:140-9 [Journal] [PubMed]
van Rossum MC (2001) A novel spike distance. Neural Comput 13:751-63 [PubMed]
VanRullen R, Guyonneau R, Thorpe SJ (2005) Spike times make sense. Trends Neurosci 28:1-4 [Journal] [PubMed]
Xilinx Inc (2015) Xilinx Inc. [Online. Available:, accessed Apr. 1, 2015.
Zhang GP (2000) Neural network s for classification: A survey IEEE Trans. Syst., Man, Cybern. C, Appl. Rev. 30(4):451-462
(53 refs)