Anti-Hebbian Spike-Timing-Dependent Plasticity and Adaptive Sensory Processing
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[1] D. Bodznick,et al. Adaptive mechanisms in the elasmobranch hindbrain , 1999, The Journal of experimental biology.
[2] G. von der Emde,et al. Active electrolocation of objects in weakly electric fish , 1999 .
[3] Mark C. W. van Rossum,et al. Stable Hebbian Learning from Spike Timing-Dependent Plasticity , 2000, The Journal of Neuroscience.
[4] M. V. Bennett,et al. Comparative physiology: electric organs. , 1970, Annual review of physiology.
[5] Jean-Pascal Pfister,et al. Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning , 2005, Neural Computation.
[6] C. Bell,et al. Mormyromast electroreceptor organs and their afferent fibers in mormyrid fish. II. Intra-axonal recordings show initial stages of central processing. , 1990, Journal of neurophysiology.
[7] G. von der Emde,et al. Electric organ corollary discharge pathways in mormyrid fish , 1995, Journal of Comparative Physiology A.
[8] K. Clark. CONDITIONS FOR VERSATILE LEARNING , HELMHOLTZ ’ S UNCONSCIOUS INFERENCE , AND THE TASK OF PERCEPTION , 2002 .
[9] W. Ebeling. Stochastic Processes in Physics and Chemistry , 1995 .
[10] G. Turrigiano. Homeostatic plasticity in neuronal networks: the more things change, the more they stay the same , 1999, Trends in Neurosciences.
[11] M. G. Paulin,et al. Neural simulations of adaptive reafference suppression in the elasmobranch electrosensory system , 1995, Journal of Comparative Physiology A.
[12] J. Bastian,et al. Pyramidal-cell plasticity in weakly electric fish: a mechanism for attenuating responses to reafferent electrosensory inputs , 2004, Journal of Comparative Physiology A.
[13] Patrick D Roberts,et al. Random walks for spike-timing-dependent plasticity. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[14] Patrick D. Roberts,et al. Computational Consequences of Temporally Asymmetric Learning Rules: I. Differential Hebbian Learning , 1999, Journal of Computational Neuroscience.
[15] J. Bastian,et al. Descending control of electroreception. II. Properties of nucleus praeeminentialis neurons projecting directly to the electrosensory lateral line lobe , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[16] L. Trussell,et al. Cell-specific, spike timing–dependent plasticities in the dorsal cochlear nucleus , 2004, Nature Neuroscience.
[17] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[18] K. Grant,et al. Storage of a sensory pattern by anti-Hebbian synaptic plasticity in an electric fish. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[19] Kazuyuki Aihara,et al. Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity , 2004, Neural Computation.
[20] Patrick D. Roberts,et al. Mutual inhibition increases adaptation rate in an electrosensory system , 2001, Neurocomputing.
[21] Carl D Hopkins,et al. Convergent designs for electrogenesis and electroreception , 1995, Current Opinion in Neurobiology.
[22] Wulfram Gerstner,et al. A neuronal learning rule for sub-millisecond temporal coding , 1996, Nature.
[23] K. Grant,et al. Sensory processing and corollary discharge effects in the mormyromast regions of the mormyrid electrosensory lobe. I. Field potentials, cellular activity in associated structures. , 1992, Journal of neurophysiology.
[24] Wilfrid Rall,et al. Theoretical significance of dendritic trees for neuronal input-output relations , 1964 .
[25] W. Gerstner,et al. Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[26] Gerardo Lafferriere,et al. Dynamic regulation of spike-timing dependent plasticity in electrosensory processing , 2006, Neurocomputing.
[27] Nicholas T. Carnevale,et al. The NEURON Simulation Environment , 1997, Neural Computation.
[28] Patrick D. Roberts,et al. Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation , 2000, Journal of Computational Neuroscience.
[29] P. Roberts,et al. Modeling inhibitory plasticity in the electrosensory system of mormyrid electric fish. , 2000, Journal of neurophysiology.
[30] Patrick D. Roberts,et al. Active control of spike-timing dependent synaptic plasticity in an electrosensory system , 2002, Journal of Physiology-Paris.
[31] D. Bodznick,et al. The cerebellar dorsal granular ridge in an elasmobranch has proprioceptive and electroreceptive representations and projects homotopically to the medullary electrosensory nucleus , 1994, Journal of Comparative Physiology A.
[32] R. Kempter,et al. Hebbian learning and spiking neurons , 1999 .
[33] J. Bower,et al. Simulated responses of cerebellar Purkinje cells are independent of the dendritic location of granule cell synaptic inputs. , 1994, Proceedings of the National Academy of Sciences of the United States of America.
[34] Yoshiko Sugawara,et al. The Mormyrid Electrosensory Lobe In Vitro: Physiology and Pharmacology of Cells and Circuits , 1998, The Journal of Neuroscience.
[35] Nathaniel B Sawtell,et al. Central Control of Dendritic Spikes Shapes the Responses of Purkinje-Like Cells through Spike Timing-Dependent Synaptic Plasticity , 2007, The Journal of Neuroscience.
[36] Patrick D. Roberts,et al. Design principles of sensory processing in cerebellum-like structures , 2008, Biological Cybernetics.
[37] Carl D. Hopkins,et al. The neuroethology of electric communication , 1981, Trends in Neurosciences.
[38] Jesper Tegnér,et al. Spike-timing-dependent plasticity: common themes and divergent vistas , 2002, Biological Cybernetics.
[39] Patrick D. Roberts. Electrosensory response mechanisms in mormyrid electric fish , 2000, Neurocomputing.
[40] D. Bodznick,et al. An adaptive filter that cancels self-induced noise in the electrosensory and lateral line mechanosensory systems of fish , 1994, Neuroscience Letters.
[41] D. Sherrington. Stochastic Processes in Physics and Chemistry , 1983 .
[42] David Bodznick,et al. The Physiology of Low-Frequency Electrosensory Systems , 2005 .
[43] B. Zipser,et al. Interaction of electrosensory and electromotor signals in lateral line lobe of a mormyrid fish. , 1976, Journal of neurophysiology.
[44] Nathaniel B Sawtell,et al. Multimodal Integration in Granule Cells as a Basis for Associative Plasticity and Sensory Prediction in a Cerebellum-like Circuit , 2010, Neuron.
[45] Nathaniel B Sawtell,et al. Transformations of Electrosensory Encoding Associated with an Adaptive Filter , 2008, The Journal of Neuroscience.
[46] Xiaohui Xie,et al. Spike-based Learning Rules and Stabilization of Persistent Neural Activity , 1999, NIPS.
[47] C. Bell,et al. Behavioral evidence of a latency code for stimulus intensity in mormyrid electric fish , 1995, Journal of Comparative Physiology A.
[48] E. Holst,et al. Das Reafferenzprinzip , 2004, Naturwissenschaften.
[49] Florentin Wörgötter,et al. How the Shape of Pre- and Postsynaptic Signals Can Influence STDP: A Biophysical Model , 2004, Neural Computation.
[50] Wulfram Gerstner,et al. Associative memory in a network of ‘spiking’ neurons , 1992 .
[51] Patrick D Roberts,et al. Stability of negative-image equilibria in spike-timing-dependent plasticity. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[52] Tomoki Fukai,et al. A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity , 2003, Neural Computation.
[53] V. Han,et al. Synaptic plasticity in a cerebellum-like structure depends on temporal order , 1997, Nature.
[54] B Rasnow,et al. Electric organ discharges and electric images during electrolocation. , 1999, The Journal of experimental biology.
[55] Sen Song,et al. Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability , 1998, NIPS.
[56] Curtis C Bell,et al. The mormyromast region of the mormyrid electrosensory lobe. I. Responses to corollary discharge and electrosensory stimuli. , 2003, Journal of neurophysiology.
[57] B. Kosco. Differential Hebbian learning , 1987 .
[58] Curtis C Bell,et al. The mormyromast region of the mormyrid electrosensory lobe. II. Responses to input from central sources. , 2003, Journal of neurophysiology.
[59] Masashi Kawasaki,et al. Physiology of Tuberous Electrosensory Systems , 2005 .
[60] Joseph Bastian,et al. Descending control of electroreception. I. Properties of nucleus praeeminentialis neurons projecting indirectly to the electrosensory lateral line lobe , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[61] C. Bell,et al. The generation and subtraction of sensory expectations within cerebellum-like structures. , 1997, Brain, behavior and evolution.
[62] J Meek,et al. The role of motor command feedback in electrosensory processing. , 1994, European journal of morphology.
[63] E. van den Burg,et al. Dendritic backpropagation and synaptic plasticity in the mormyrid electrosensory lobe , 2008, Journal of Physiology-Paris.
[64] A. Hodgkin,et al. A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.
[65] C. Gardiner. Handbook of Stochastic Methods , 1983 .
[66] C. Bell,et al. Properties of a modifiable efference copy in an electric fish. , 1982, Journal of neurophysiology.
[67] David B. Grayden,et al. Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point , 2004, Neural Computation.