Biased Random-Walk Learning: A Neurobiological Correlate to Trial-and-Error
暂无分享,去创建一个
[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 , 1992, IEEE Trans. Neural Networks.
[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 .