Neural Assembly Computing
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[1] J. Milton,et al. Multistability in recurrent neural loops arising from delay. , 2000, Journal of neurophysiology.
[2] José Roberto Castilho Piqueira,et al. Computing with phase locked loops: choosing gains and delays , 2003, IEEE Trans. Neural Networks.
[3] Vivien A. Casagrande,et al. Biophysics of Computation: Information Processing in Single Neurons , 1999 .
[4] Xiao-Jing Wang. Synaptic reverberation underlying mnemonic persistent activity , 2001, Trends in Neurosciences.
[5] Eugene M. Izhikevich,et al. Polychronization: Computation with Spikes , 2006, Neural Computation.
[6] DeLiang Wang,et al. Emergent synchrony in locally coupled neural oscillators , 1995, IEEE Trans. Neural Networks.
[7] Richard Hans Robert Hahnloser,et al. An ultra-sparse code underliesthe generation of neural sequences in a songbird , 2002, Nature.
[8] José Roberto Castilho Piqueira,et al. Global and partial synchronism in phase-locked loop networks , 2003, IEEE Trans. Neural Networks.
[9] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.
[10] Asif A Ghazanfar,et al. Hebb's Dream: The Resurgence of Cell Assemblies , 1997, Neuron.
[11] W S McCulloch,et al. A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.
[12] G. Laurent,et al. Odour encoding by temporal sequences of firing in oscillating neural assemblies , 1996, Nature.
[13] W. Singer,et al. Modulation of Neuronal Interactions Through Neuronal Synchronization , 2007, Science.
[14] S. Nelson,et al. Homeostatic plasticity in the developing nervous system , 2004, Nature Reviews Neuroscience.
[15] M. W. Schwartz,et al. Central nervous system control of food intake and body weight , 2006, Nature.
[16] György Buzsáki,et al. Neural Syntax: Cell Assemblies, Synapsembles, and Readers , 2010, Neuron.
[17] A. Aertsen,et al. Neuronal assemblies , 1989, IEEE Transactions on Biomedical Engineering.
[18] G. Edelman,et al. Spike-timing dynamics of neuronal groups. , 2004, Cerebral cortex.
[19] T. Sejnowski,et al. Correlated neuronal activity and the flow of neural information , 2001, Nature Reviews Neuroscience.
[20] Qian Gao,et al. Neurobiology of feeding and energy expenditure. , 2007, Annual review of neuroscience.
[21] A. Compte. Computational and in vitro studies of persistent activity: Edging towards cellular and synaptic mechanisms of working memory , 2006, Neuroscience.
[22] E. Marder,et al. Invertebrate Central Pattern Generation Moves along , 2005, Current Biology.
[23] Chris I. De Zeeuw,et al. Time windows and reverberating loops: a reverse-engineering approach to cerebellar function , 2008, The Cerebellum.
[24] Damian J. Wallace,et al. Chasing the cell assembly , 2010, Current Opinion in Neurobiology.
[25] J. Martinerie,et al. The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.
[26] Hélène Paugam-Moisy,et al. Algorithms for Structural and Dynamical Polychronous Groups Detection , 2009, ICANN.
[27] João Eduardo Kögler,et al. Bistable memory and binary counters in spiking neural network , 2011, 2011 IEEE Symposium on Foundations of Computational Intelligence (FOCI).
[28] W. Singer,et al. Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.
[29] Nicolas Brunel,et al. Can Attractor Network Models Account for the Statistics of Firing During Persistent Activity in Prefrontal Cortex? , 2008, Front. Neurosci..
[30] Moshe Abeles,et al. Synfire chains , 2009, Scholarpedia.
[31] Gilles Laurent,et al. Olfactory network dynamics and the coding of multidimensional signals , 2002, Nature Reviews Neuroscience.
[32] Wofgang Maas,et al. Networks of spiking neurons: the third generation of neural network models , 1997 .
[33] Kevin L. Briggman,et al. Multifunctional pattern-generating circuits. , 2008, Annual review of neuroscience.
[34] C. Curtis,et al. Persistent activity in the prefrontal cortex during working memory , 2003, Trends in Cognitive Sciences.
[35] M Abeles,et al. Spatio-temporal firing patterns in the frontal cortex of behaving monkeys , 1996, Journal of Physiology-Paris.
[36] E. Bienenstock. A model of neocortex , 1995 .
[37] G. Buzsáki. Large-scale recording of neuronal ensembles , 2004, Nature Neuroscience.
[38] H. Swadlow. Efferent neurons and suspected interneurons in motor cortex of the awake rabbit: axonal properties, sensory receptive fields, and subthreshold synaptic inputs. , 1994, Journal of neurophysiology.
[39] A. Pérez-Villalba. Rhythms of the Brain, G. Buzsáki. Oxford University Press, Madison Avenue, New York (2006), Price: GB £42.00, p. 448, ISBN: 0-19-530106-4 , 2008 .
[40] Yuji Ikegaya,et al. Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity , 2004, Science.
[41] Samy Bengio,et al. Delay learning and polychronization for reservoir computing , 2008, Neurocomputing.
[42] Eugene M. Izhikevich,et al. Simple model of spiking neurons , 2003, IEEE Trans. Neural Networks.
[43] M. Alexander,et al. Principles of Neural Science , 1981 .
[44] D. Amit. The Hebbian paradigm reintegrated: Local reverberations as internal representations , 1995, Behavioral and Brain Sciences.
[45] José Roberto Castilho Piqueira,et al. Multiple synchronous states in static delay-free mutually connected PLL networks , 2010, Signal Process..
[46] E. Marder. Motor pattern generation , 2000, Current Opinion in Neurobiology.
[47] Sten Grillner,et al. Biological Pattern Generation: The Cellular and Computational Logic of Networks in Motion , 2006, Neuron.
[48] Anders Lansner,et al. Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network , 2010, PLoS Comput. Biol..
[49] Frank C. Hoppensteadt,et al. Synaptic organizations and dynamical properties of weakly connected neural oscillators , 1996, Biological Cybernetics.
[50] Frank C. Hoppensteadt,et al. Polychronous Wavefront Computations , 2009, Int. J. Bifurc. Chaos.
[51] L. Abbott,et al. Synaptic plasticity: taming the beast , 2000, Nature Neuroscience.
[52] M. Nicolelis,et al. Sensorimotor encoding by synchronous neural ensemble activity at multiple levels of the somatosensory system. , 1995, Science.
[53] J. Knott. The organization of behavior: A neuropsychological theory , 1951 .
[54] Eugene M. Izhikevich,et al. Which model to use for cortical spiking neurons? , 2004, IEEE Transactions on Neural Networks.
[55] Tino Gramß. Non-standard Computation - Molecular Computation, Cellular Automata, Evolutionary Algorithms, Quantum Computers , 2005, Non-standard Computation.
[56] Sander M. Bohte,et al. Computing with Spiking Neuron Networks , 2012, Handbook of Natural Computing.
[57] S. Thorpe,et al. Spike times make sense , 2005, Trends in Neurosciences.
[58] Bruno Cessac,et al. Overview of facts and issues about neural coding by spikes , 2010, Journal of Physiology-Paris.
[59] Wolfgang Maass,et al. Networks of Spiking Neurons: The Third Generation of Neural Network Models , 1996, Electron. Colloquium Comput. Complex..
[60] J J Hopfield,et al. What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[61] Adriano B. L. Tort,et al. Neuronal Assembly Detection and Cell Membership Specification by Principal Component Analysis , 2011, PloS one.