Plasticity in single neuron and circuit computations
暂无分享,去创建一个
[1] Ramón y Cajal,et al. Histologie du système nerveux de l'homme & des vertébrés , 1909 .
[2] D. Hubel,et al. Shape and arrangement of columns in cat's striate cortex , 1963, The Journal of physiology.
[3] G. P. Moore,et al. Statistical analysis and functional interpretation of neuronal spike data. , 1966, Annual review of physiology.
[4] W. Rall. Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input. , 1967, Journal of neurophysiology.
[5] W. Rall. Time constants and electrotonic length of membrane cylinders and neurons. , 1969, Biophysical journal.
[6] J Szentagothai,et al. [Neuronal circuits of the cerebral cortex]. , 1970, Bulletin de l'Academie royale de medecine de Belgique.
[7] J Rinzel,et al. Branch input resistance and steady attenuation for input to one branch of a dendritic neuron model. , 1973, Biophysical journal.
[8] F. G. Worden,et al. The neurosciences : fourth study program , 1979 .
[9] Allen I. Selverston,et al. Are central pattern generators understandable? , 1980, Behavioral and Brain Sciences.
[10] C. Prosser. F.O. Schmitt F.G. , 1980, Neuroscience.
[11] S. Laughlin,et al. Predictive coding: a fresh view of inhibition in the retina , 1982, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[12] J. Szentágothai. The modular architectonic principle of neural centers. , 1983, Reviews of physiology, biochemistry and pharmacology.
[13] D. Rose,et al. Models of the visual cortex , 1985 .
[14] W. Singer,et al. Modulation of visual cortical plasticity by acetylcholine and noradrenaline , 1986, Nature.
[15] R. Lewin. The book , 1986, Nature.
[16] G. Shepherd,et al. Logic operations are properties of computer-simulated interactions between excitable dendritic spines , 1987, Neuroscience.
[17] D. O. Hebb,et al. The organization of behavior , 1988 .
[18] Idan Segev,et al. Methods in Neuronal Modeling , 1988 .
[19] D. McCormick. Cholinergic and noradrenergic modulation of thalamocortical processing , 1989, Trends in Neurosciences.
[20] P A Getting,et al. Emerging principles governing the operation of neural networks. , 1989, Annual review of neuroscience.
[21] Richard Durbin,et al. The computing neuron , 1989 .
[22] M. Steriade,et al. Brainstem Control of Wakefulness and Sleep , 1990, Springer US.
[23] R. Douglas,et al. A functional microcircuit for cat visual cortex. , 1991, The Journal of physiology.
[24] Xiao-Jing Wang,et al. Alternating and Synchronous Rhythms in Reciprocally Inhibitory Model Neurons , 1992, Neural Computation.
[25] A. Peters,et al. Neuronal organization in area 17 of cat visual cortex. , 1993, Cerebral cortex.
[26] A. M. Smith,et al. A century after cajal. , 1993, Science.
[27] William R. Softky,et al. Sub-millisecond coincidence detection in active dendritic trees , 1994, Neuroscience.
[28] M. Bear,et al. Hebbian synapses in visual cortex , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[29] Bartlett W. Mel,et al. Information Processing in Dendritic Trees , 1994, Neural Computation.
[30] Kurt Wiesenfeld,et al. Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs , 1995, Nature.
[31] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[32] Geoffrey E. Hinton,et al. The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.
[33] M M Merzenich,et al. Temporal information transformed into a spatial code by a neural network with realistic properties , 1995, Science.
[34] P. Schwindt,et al. Amplification of synaptic current by persistent sodium conductance in apical dendrite of neocortical neurons. , 1995, Journal of neurophysiology.
[35] W. O. Friesen,et al. Reciprocal inhibition: A mechanism underlying oscillatory animal movements , 1994, Neuroscience & Biobehavioral Reviews.
[36] E. Marder,et al. Principles of rhythmic motor pattern generation. , 1996, Physiological reviews.
[37] D. Johnston,et al. Active properties of neuronal dendrites. , 1996, Annual review of neuroscience.
[38] Paul S. Katz,et al. Intrinsic neuromodulation: altering neuronal circuits from within , 1996, Trends in Neurosciences.
[39] E. Marder,et al. Mechanisms of oscillation in dynamic clamp constructed two-cell half-center circuits. , 1996, Journal of neurophysiology.
[40] E Marder,et al. Memory from the dynamics of intrinsic membrane currents. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[41] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[42] D. Tank,et al. Dendritic Integration in Mammalian Neurons, a Century after Cajal , 1996, Neuron.
[43] V. Han,et al. Synaptic plasticity in a cerebellum-like structure depends on temporal order , 1997, Nature.
[44] D. Johnston,et al. A Synaptically Controlled, Associative Signal for Hebbian Plasticity in Hippocampal Neurons , 1997, Science.
[45] Nicholas T. Carnevale,et al. The NEURON Simulation Environment , 1997, Neural Computation.
[46] D. Johnston,et al. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997 .
[47] R. Harris-Warrick,et al. Distributed Effects of Dopamine Modulation in the Crustacean Pyloric Network a , 1998, Annals of the New York Academy of Sciences.
[48] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[49] Niraj S. Desai,et al. Activity-dependent scaling of quantal amplitude in neocortical neurons , 1998, Nature.
[50] Prof. Dr. Dr. Valentino Braitenberg,et al. Cortex: Statistics and Geometry of Neuronal Connectivity , 1998, Springer Berlin Heidelberg.
[51] Mnh,et al. Histologie du Système Nerveux de Lʼhomme et des Vertébrés , 1998 .
[52] R. G. Morris. D.O. Hebb: The Organization of Behavior, Wiley: New York; 1949 , 1999, Brain Research Bulletin.
[53] J. Magee. Dendritic Ih normalizes temporal summation in hippocampal CA1 neurons , 1999, Nature Neuroscience.
[54] Jeffrey C. Magee,et al. Dendritic I h normalizes temporal summation in hippocampal CA 1 neurons , 1999 .
[55] E. Marder,et al. Activity-Dependent Regulation of Potassium Currents in an Identified Neuron of the Stomatogastric Ganglion of the Crab Cancer borealis , 1999, The Journal of Neuroscience.
[56] Niraj S. Desai,et al. Plasticity in the intrinsic excitability of cortical pyramidal neurons , 1999, Nature Neuroscience.
[57] John J. Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities , 1999 .
[58] A. Roskies. The Binding Problem , 1999, Neuron.
[59] L. Abbott,et al. Synaptic plasticity: taming the beast , 2000, Nature Neuroscience.
[60] A. Destexhe,et al. Synaptic background activity enhances the responsiveness of neocortical pyramidal neurons. , 2000, Journal of neurophysiology.
[61] G. Stuart,et al. Site independence of EPSP time course is mediated by dendritic I(h) in neocortical pyramidal neurons. , 2000, Journal of neurophysiology.
[62] A. Thomson. Facilitation, augmentation and potentiation at central synapses , 2000, Trends in Neurosciences.
[63] H. Markram,et al. Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. , 2000, Science.
[64] E. Ahissar,et al. A neuronal analogue of state-dependent learning , 2000, Nature.
[65] J. Kao,et al. Compartmentalized and Binary Behavior of Terminal Dendrites in Hippocampal Pyramidal Neurons , 2001, Science.
[66] E. Kandel. The Molecular Biology of Memory Storage: A Dialogue Between Genes and Synapses , 2001, Science.
[67] M. Ito,et al. Cerebellar long-term depression: characterization, signal transduction, and functional roles. , 2001, Physiological reviews.
[68] W. Singer,et al. Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.
[69] R. Stickgold,et al. Sleep, Learning, and Dreams: Off-line Memory Reprocessing , 2001, Science.
[70] E. Marder,et al. Global Structure, Robustness, and Modulation of Neuronal Models , 2001, The Journal of Neuroscience.
[71] A. Destexhe,et al. Correlation detection and resonance in neural systems with distributed noise sources. , 2001, Physical review letters.
[72] K. Martin,et al. Synaptic tagging — who's it? , 2002, Nature Reviews Neuroscience.
[73] Eve Marder,et al. Cellular, synaptic and network effects of neuromodulation , 2002, Neural Networks.
[74] D. Long. Probabilistic Models of the Brain. , 2002 .
[75] M. P. Nusbaum,et al. A small-systems approach to motor pattern generation , 2002, Nature.
[76] Glenn C. Turner,et al. Oscillations and Sparsening of Odor Representations in the Mushroom Body , 2002, Science.
[77] P. J. Sjöström,et al. Spike timing, calcium signals and synaptic plasticity , 2002, Current Opinion in Neurobiology.
[78] Frances S. Chance,et al. Gain Modulation from Background Synaptic Input , 2002, Neuron.
[79] Nace L. Golding,et al. Dendritic spikes as a mechanism for cooperative long-term potentiation , 2002, Nature.
[80] H. Markram,et al. Stereotypy in neocortical microcircuits , 2002, Trends in Neurosciences.
[81] L. Abbott,et al. Redundancy Reduction and Sustained Firing with Stochastic Depressing Synapses , 2002, The Journal of Neuroscience.
[82] G. Shepherd,et al. Emerging rules for the distributions of active dendritic conductances , 2002, Nature Reviews Neuroscience.
[83] Richard Hans Robert Hahnloser,et al. An ultra-sparse code underliesthe generation of neural sequences in a songbird , 2002, Nature.
[84] Henry Markram,et al. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations , 2002, Neural Computation.
[85] Eve Marder,et al. Modeling stability in neuron and network function: the role of activity in homeostasis. , 2002, BioEssays : news and reviews in molecular, cellular and developmental biology.
[86] D. Debanne,et al. Long-term plasticity of intrinsic excitability: learning rules and mechanisms. , 2003, Learning & memory.
[87] Maria V. Sanchez-Vives,et al. Adaptation and temporal decorrelation by single neurons in the primary visual cortex. , 2003, Journal of neurophysiology.
[88] T. Sejnowski,et al. Interactions between membrane conductances underlying thalamocortical slow-wave oscillations. , 2003, Physiological reviews.
[89] Andrea Hasenstaub,et al. Barrages of Synaptic Activity Control the Gain and Sensitivity of Cortical Neurons , 2003, The Journal of Neuroscience.
[90] Lyle J. Graham,et al. Orientation and Direction Selectivity of Synaptic Inputs in Visual Cortical Neurons A Diversity of Combinations Produces Spike Tuning , 2003, Neuron.
[91] A. Destexhe,et al. The high-conductance state of neocortical neurons in vivo , 2003, Nature Reviews Neuroscience.
[92] Michael Rudolph,et al. A Fast-Conducting, Stochastic Integrative Mode for Neocortical Neurons InVivo , 2003, The Journal of Neuroscience.
[93] D. Linden,et al. The other side of the engram: experience-driven changes in neuronal intrinsic excitability , 2003, Nature Reviews Neuroscience.
[94] Bruce R. Johnson,et al. Activity-Independent Homeostasis in Rhythmically Active Neurons , 2003, Neuron.
[95] Bard Ermentrout,et al. When inhibition not excitation synchronizes neural firing , 1994, Journal of Computational Neuroscience.
[96] A. Baranyi,et al. Conditioned changes of synaptic transmission in the motor cortex of the cat , 1978, Experimental Brain Research.
[97] S. Nelson,et al. Homeostatic plasticity in the developing nervous system , 2004, Nature Reviews Neuroscience.
[98] Ch. von der Malsburg,et al. A neural cocktail-party processor , 1986, Biological Cybernetics.
[99] P. Földiák,et al. Forming sparse representations by local anti-Hebbian learning , 1990, Biological Cybernetics.
[100] Eve Marder,et al. The dynamic clamp comes of age , 2004, Trends in Neurosciences.
[101] Carson C. Chow,et al. Synchronization and Oscillatory Dynamics in Heterogeneous, Mutually Inhibited Neurons , 1998, Journal of Computational Neuroscience.