Biased Random-Walk Learning: A Neurobiological Correlate to Trial-and-Error

[1]  F ROSENBLATT,et al.  The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.

[2]  E. R. Crossman.  A THEORY OF THE ACQUISITION OF SPEED-SKILL∗ , 1959 .

[3]  R. L. Barron.  Self-organizing and learning control systems. , 1968 .

[4]  Marvin Minsky,et al.  Perceptrons: An Introduction to Computational Geometry , 1969 .

[5]  R. L. Barron,et al.  Adaptive Flight Control Systems , 1970 .

[6]  A. N. Mucciardi,et al.  Neuromine Nets as the Basis for the Predictive Component of Robot Brains , 1972 .

[7]  H. Bremermann.  Chemotaxis and optimization , 1974 .

[8]  E Harth,et al.  Alopex: a stochastic method for determining visual receptive fields. , 1974, Vision research.

[9]  W. Alt.  Biased random walk models for chemotaxis and related diffusion approximations , 1980, Journal of mathematical biology.

[10]  Allen I. Selverston,et al.  Are central pattern generators understandable? , 1980, Behavioral and Brain Sciences.

[11]  J. D. E. Koshland.  Bacterial chemotaxis as a model behavioral system , 1980 .

[12]  A G Barto,et al.  Toward a modern theory of adaptive networks: expectation and prediction. , 1981, Psychological review.

[13]  G. Aghajanian,et al.  Intracellular identification of central noradrenergic and serotonergic neurons by a new double labeling procedure , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[14]  T. Bliss,et al.  Reduction of long‐term potentiation in the dentate gyrus of the rat following selective depletion of monoamines. , 1983, The Journal of physiology.

[15]  H. Berg.  Random Walks in Biology , 2018 .

[16]  E. R. Crossman,et al.  Feedback Control of Hand-Movement and Fitts' Law , 1983, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[17]  Richard S. Sutton,et al.  Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[19]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[20]  J. E. Skinner,et al.  Chemical dependencies of learning in the rabbit olfactory bulb: acquisition of the transient spatial pattern change depends on norepinephrine. , 1986, Behavioral neuroscience.

[21]  W. Singer,et al.  Modulation of visual cortical plasticity by acetylcholine and noradrenaline , 1986, Nature.

[22]  G. Lynch,et al.  Synapses, circuits, and the beginnings of memory , 1986 .

[23]  J. Kaas,et al.  Variability in hand surface representations in areas 3b and 1 in adult owl and squirrel monkeys , 1987, The Journal of comparative neurology.

[24]  J. Pearson,et al.  Plasticity in the organization of adult cerebral cortical maps: a computer simulation based on neuronal group selection , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[25]  Terrence J. Sejnowski,et al.  Network model of shape-from-shading: neural function arises from both receptive and projective fields , 1988, Nature.

[26]  Gerald Tesauro,et al.  Scaling Relationships in Back-propagation Learning , 1988, Complex Syst..

[27]  E. Kandel,et al.  Long-term heterosynaptic inhibition in Aplysia , 1988, Nature.

[28]  R. Nicoll,et al.  NMDA application potentiates synaptic transmission in the hippocampus , 1988, Nature.

[29]  M. Kennedy.  Synaptic memory molecules , 1988, Nature.

[30]  W. Kristan,et al.  Function of identified interneurons in the leech elucidated using neural networks trained by back-propagation , 1989, Nature.

[31]  Lawrence Davis,et al.  Training Feedforward Neural Networks Using Genetic Algorithms , 1989, IJCAI.

[32]  T. Sejnowski,et al.  Associative long-term depression in the hippocampus induced by hebbian covariance , 1989, Nature.

[33]  Stephen Grossberg,et al.  Neural dynamics of adaptive timing and temporal discrimination during associative learning , 1989, Neural Networks.

[34]  L. Fagni,et al.  The action of hydrogen peroxide on paired pulse and long-term potentiation in the hippocampus. , 1989, Free radical biology & medicine.

[35]  Francis Crick,et al.  The recent excitement about neural networks , 1989, Nature.

[36]  T. Bliss,et al.  Arachidonic acid induces a long-term activity-dependent enhancement of synaptic transmission in the hippocampus , 1989, Nature.

[37]  Kurt Hornik,et al.  Neural networks and principal component analysis: Learning from examples without local minima , 1989, Neural Networks.

[38]  C. Stevens.  Strengthening the synapses , 1989, Nature.

[39]  Geoffrey E. Hinton.  Connectionist Learning Procedures , 1989, Artif. Intell..

[40]  A. Klopf.  Classical Conditioning Phenomena Predicted by a Drive-Reinforcement Model of Neuronal Function , 1989 .

[41]  F. Zoccarato,et al.  Generation of hydrogen peroxide by cerebral-cortex synaptosomes. Stimulation by ionomycin and plasma-membrane depolarization. , 1989, European journal of biochemistry.

[42]  T. Salt.  Modulation of NMDA receptor-mediated responses by glycine and d-serine in the rat thalamus in vivo , 1989, Brain Research.

[43]  F. Crick.  Neural Edelmanism , 1989, Trends in Neurosciences.

[44]  T. Salt,et al.  Modulatory effects of serotonin on excitatory amino acid responses and sensory synaptic transmission in the ventrobasal thalamus , 1989, Neuroscience.

[45]  W S McCulloch,et al.  A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.

[46]  S. Lehky,et al.  Neural model of stereoacuity and depth interpolation based on a distributed representation of stereo disparity [published erratum appears in J Neurosci 1991 Mar;11(3):following Table of Contents] , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[47]  Scott Austin,et al.  Genetic solutions to XOR problems , 1990 .

[48]  E. Kandel,et al.  Target-dependent structural changes accompanying long-term synaptic facilitation in Aplysia neurons. , 1990, Science.

[49]  T. Sejnowski,et al.  Neural representation and neural computation , 1990 .

[50]  G. Edelman,et al.  The NO hypothesis: possible effects of a short-lived, rapidly diffusible signal in the development and function of the nervous system. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[51]  R. Nicoll,et al.  Comparison of two forms of long-term potentiation in single hippocampal neurons. , 1990, Science.

[52]  J. Byrne,et al.  Long-term synaptic changes produced by a cellular analog of classical conditioning in Aplysia. , 1990, Science.

[53]  D. L. Chester.  A comparison of some neural network models of classical conditioning , 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

[54]  Farid U. Dowla,et al.  Seismic discrimination with artificial neural networks: Preliminary results with regional spectral data , 1990 .

[55]  Michael Merzenich,et al.  Hebb-Type Dynamics is Sufficient to Account for the Inverse Magnification Rule in Cortical Somatotopy , 1990, Neural Computation.

[56]  Marwan A. Jabri,et al.  Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks , 1991, Neural Comput..

[57]  D. Quartermain,et al.  Milacemide enhances memory storage and alleviates spontaneous forgetting in mice , 1991, Pharmacology Biochemistry and Behavior.

[58]  G. Edelman,et al.  Spatial signaling in the development and function of neural connections. , 1991, Cerebral cortex.

[59]  A. J. Morris,et al.  Artificial neural networks in process engineering , 1991 .

[60]  Hans J. Bremermann,et al.  How the Brain Adjusts Synapses - Maybe , 1991, Automated Reasoning: Essays in Honor of Woody Bledsoe.

[61]  N. Ropert,et al.  Serotonin facilitates GABAergic transmission in the CA1 region of rat hippocampus in vitro. , 1991, The Journal of physiology.

[62]  M.J. Willis,et al.  Non-Linear Predictive Control using Optimisation Techniques , 1991, 1991 American Control Conference.

[63]  C. Xie,et al.  Opioid-mediated facilitation of long-term potentiation at the lateral perforant path-dentate granule cell synapse. , 1991, The Journal of pharmacology and experimental therapeutics.

[64]  F. Edwards.  LTP is a long term problem , 1991, Nature.

[65]  Hava T. Siegelmann,et al.  Neural nets are universal computing devices , 1991 .

[66]  Sylvie A. Malenfant,et al.  MK801, an NMDA antagonist, blocks acquisition of a spatial task but does not block maternal experience effects , 1991, Physiology & Behavior.

[67]  E. Kandel,et al.  Are adult learning mechanisms also used for development? , 1992, Science.

[68]  Bartlett W. Mel.  NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron , 1992, Neural Computation.

[69]  W. Singer,et al.  Agonists of cholinergic and noradrenergic receptors facilitate synergistically the induction of long-term potentiation in slices of rat visual cortex , 1992, Brain Research.

[70]  Judith E. Dayhoff,et al.  Biological Plausibility of Back-Error Propagation through Microtubules , 1992 .

[71]  M. Conrad,et al.  M.V. Volkenstein, evolutionary thinking and the structure of fitness landscapes. , 1992, Bio Systems.

[72]  Xiao-Hu Yu,et al.  Can backpropagation error surface not have local minima , 1992, IEEE Trans. Neural Networks.

[73]  K. Abe,et al.  Epidermal growth factor selectively enhances NMDA receptor-mediated increase of intracellular Ca2+ concentration in rat hippocampal neurons , 1992, Brain Research.

[74]  Y. Dan,et al.  Hebbian depression of isolated neuromuscular synapses in vitro. , 1992, Science.

[75]  D. Clifford,et al.  Inhibition of long-term potentiation by NMDA-mediated nitric oxide release. , 1992, Science.

[76]  N. A. Rashid,et al.  N-methyl-D-aspartate effects on the growth, morphology and cytoskeleton of individual neurons in vitro. , 1992, Brain research. Developmental brain research.

[77]  D. Wilson,et al.  The role of olfactory bulb norepinephrine in early olfactory learning. , 1992, Brain research. Developmental brain research.

[78]  K. Iorio,et al.  Chronic exposure of cerebellar granule cells to ethanol results in increased N-methyl-D-aspartate receptor function. , 1992, Molecular pharmacology.

[79]  T. Bliss,et al.  A synaptic model of memory: long-term potentiation in the hippocampus , 1993, Nature.

[80]  Hava T. Siegelmann,et al.  Analog computation via neural networks , 1993, [1993] The 2nd Israel Symposium on Theory and Computing Systems.

[81]  M. Cooper,et al.  Intercellular signaling in neuronal-glial networks. , 1995, Bio Systems.

[82]  Hava T. Siegelmann,et al.  On the Computational Power of Neural Nets , 1995, J. Comput. Syst. Sci..

[83]  V. Vemuri,et al.  A comparison of adaptive critic and chemotaxis methods in adaptive control , 1995 .