Supervised and Unsupervised Learning with Two Sites of Synaptic Integration
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[1] Philipp Slusallek,et al. Introduction to real-time ray tracing , 2005, SIGGRAPH Courses.
[2] O. Paulsen,et al. Rapid report: postsynaptic bursting is essential for 'Hebbian' induction of associative long-term potentiation at excitatory synapses in rat hippocampus. , 1999, The Journal of physiology.
[3] J. Schiller,et al. NMDA spikes in basal dendrites of cortical pyramidal neurons , 2000, Nature.
[4] N T Carnevale,et al. Electrotonic architecture of hippocampal CA1 pyramidal neurons based on three-dimensional reconstructions. , 1996, Journal of neurophysiology.
[5] James V. Stone,et al. A Learning Rule for Extracting Temporal Invariances , 1995, IWANN.
[6] Bartlett W. Mel,et al. Translation-Invariant Orientation Tuning in Visual “Complex” Cells Could Derive from Intradendritic Computations , 1998, The Journal of Neuroscience.
[7] Marvin Minsky,et al. Perceptrons: An Introduction to Computational Geometry , 1969 .
[8] David Zipser,et al. The neurobiological significance of the new learning models , 1993 .
[9] N T Carnevale,et al. Comparative electrotonic analysis of three classes of rat hippocampal neurons. , 1997, Journal of neurophysiology.
[10] Brendan J. Frey,et al. Graphical Models for Machine Learning and Digital Communication , 1998 .
[11] D. Johnston,et al. Voltage-dependent properties of dendrites that eliminate location-dependent variability of synaptic input. , 1999, Journal of neurophysiology.
[12] R. Yuste,et al. Input Summation by Cultured Pyramidal Neurons Is Linear and Position-Independent , 1998, The Journal of Neuroscience.
[13] P H Tiesinga,et al. Robust gamma oscillations in networks of inhibitory hippocampal interneurons , 1999, Network.
[14] Geoffrey E. Hinton,et al. Self-organizing neural network that discovers surfaces in random-dot stereograms , 1992, Nature.
[15] Randall C. O'Reilly,et al. Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm , 1996, Neural Computation.
[16] W Singer,et al. Visual feature integration and the temporal correlation hypothesis. , 1995, Annual review of neuroscience.
[17] W. Singer,et al. Different voltage-dependent thresholds for inducing long-term depression and long-term potentiation in slices of rat visual cortex , 1990, Nature.
[18] B. Sakmann,et al. Action potential initiation and propagation in rat neocortical pyramidal neurons , 1997, The Journal of physiology.
[19] H. Markram,et al. Differential signaling via the same axon of neocortical pyramidal neurons. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[20] Peter Földiák,et al. Learning Invariance from Transformation Sequences , 1991, Neural Comput..
[21] T. Sejnowski,et al. The Monetary Transmission Mechanism in the United Kingdom: Pass-Through and Policy Rules. manuscript , 1996 .
[22] B. Sakmann,et al. A new cellular mechanism for coupling inputs arriving at different cortical layers , 1999, Nature.
[23] P A Salin,et al. Corticocortical connections in the visual system: structure and function. , 1995, Physiological reviews.
[24] J. Rinzel,et al. The role of dendrites in auditory coincidence detection , 1998, Nature.
[25] R. Clay Reid,et al. Visually evoked calcium action potentials in cat striate cortex , 1995, Nature.
[26] Bartlett W. Mel. Synaptic integration in an excitable dendritic tree. , 1993, Journal of neurophysiology.
[27] T. Sejnowski,et al. Learning Viewpoint Invariant Face Representations from Visual Experience by Temporal Association , 1998 .
[28] B. Sakmann,et al. Calcium action potentials restricted to distal apical dendrites of rat neocortical pyramidal neurons , 1997, The Journal of physiology.
[29] Dario Floreano,et al. Contextually guided unsupervised learning using local multivariate binary processors , 1998, Neural Networks.
[30] H. Markram,et al. Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. , 2000, Science.
[31] D. Tank,et al. In vivo dendritic calcium dynamics in deep-layer cortical pyramidal neurons , 1999, Nature Neuroscience.
[32] L. Cauller,et al. Synaptic physiology of horizontal afferents to layer I in slices of rat SI neocortex , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[33] William R. Softky,et al. Sub-millisecond coincidence detection in active dendritic trees , 1994, Neuroscience.
[34] Francis Crick,et al. The recent excitement about neural networks , 1989, Nature.
[35] SM Dudek,et al. Bidirectional long-term modification of synaptic effectiveness in the adult and immature hippocampus , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[36] B. Connors,et al. Regenerative activity in apical dendrites of pyramidal cells in neocortex. , 1993, Cerebral cortex.
[37] G. Buzsáki,et al. Somadendritic backpropagation of action potentials in cortical pyramidal cells of the awake rat. , 1998, Journal of neurophysiology.
[38] Konrad Paul Kording,et al. Learning with two sites of synaptic integration , 2000, Network.
[39] Gerald Tesauro,et al. Neural models of classical conditioning: A theoretical viewpoint. , 1990 .
[40] B. Sakmann,et al. Calcium electrogenesis in distal apical dendrites of layer 5 pyramidal cells at a critical frequency of back-propagating action potentials. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[41] Geoffrey E. Hinton,et al. Learning Representations by Recirculation , 1987, NIPS.
[42] Morphological correlates of BAC-firing threshold in model layer 5 pyramidal neurons , 2000 .
[43] Paul J. Werbos,et al. The roots of backpropagation , 1994 .
[44] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[45] B. Sakmann,et al. Active propagation of somatic action potentials into neocortical pyramidal cell dendrites , 1994, Nature.
[46] Konrad P. Körding,et al. Integrating Top-Down and Bottom-Up Sensory Processing by Somato-Dendritic Interactions , 2004, Journal of Computational Neuroscience.
[47] M. Larkum,et al. High I(h) channel density in the distal apical dendrite of layer V pyramidal cells increases bidirectional attenuation of EPSPs. , 2001, Journal of neurophysiology.
[48] Vicki Bruce,et al. Face Recognition: From Theory to Applications , 1999 .
[49] Richard A. Andersen,et al. A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons , 1988, Nature.
[50] S. Shipp,et al. The functional logic of cortical connections , 1988, Nature.
[51] Idan Segev,et al. The morphoelectrotonic transform: a graphical approach to dendritic function , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[52] D. Johnston,et al. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997 .
[53] P. König,et al. Correlated firing in sensory-motor systems , 1995, Current Opinion in Neurobiology.
[54] Dana H. Ballard,et al. Category Learning Through Multimodality Sensing , 1998, Neural Computation.
[55] Michael I. Jordan,et al. A more biologically plausible learning rule for neural networks. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[56] D. Johnston,et al. Active properties of neuronal dendrites. , 1996, Annual review of neuroscience.
[57] H. Markram,et al. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. , 1997, Proceedings of the National Academy of Sciences of the United States of America.