Connectionist learning procedures

Ackley, 1987, Stochastic iterated genetic hill-climbing

Ackley, 1985, A learning algorithm for Boltzmann machines, Cognitive Sci., 9, 147, 10.1207/s15516709cog0901_7

Alspector, 1987, A neuromorphic VLSI learning system

Amari, 1983, Field theory of self-organizing neural nets, IEEE Trans. Syst. Man Cybern., 13, 741, 10.1109/TSMC.1983.6313068

Amari, 1967, A theory of adaptive pattern classifiers, IEEE Trans. Electron. Comput., 16, 299, 10.1109/PGEC.1967.264666

Anderson, 1981, Models of information processing in the brain

Anderson, 1981, Categorization and selective neurons

Angluin, 1983, Inductive inference: Theory and methods, Comput. Surv., 15, 237, 10.1145/356914.356918

Bahl, 1983, A maximum likelihood approach to continuous speech recognition, IEEE Trans. Pattern Anal. Mach. Intell., 5, 179, 10.1109/TPAMI.1983.4767370

Ballard, 1986, Cortical connections and parallel processing: Structure and function, Behav. Brain Sci., 9, 67, 10.1017/S0140525X00021555

Ballard, 1987, Modular learning in neural networks, 279

Ballard, 1983, Parallel visual computation, Nature, 306, 21, 10.1038/306021a0

Barlow, 1972, Single units and sensation: A neuron doctrine for perceptual psychology?, Perception, 1, 371, 10.1068/p010371

Barto, 1985, Pattern recognizing stochastic learning automata, IEEE Trans. Syst. Man Cybern., 15, 360, 10.1109/TSMC.1985.6313371

Barto, 1983, Neuronlike elements that solve difficult learning control problems, IEEE Trans. Syst. Man Cybern., 13

Bienenstock, 1982, Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex, J. Neurosci., 2, 32, 10.1523/JNEUROSCI.02-01-00032.1982

Brady, 1985, Optimization strategies gleaned from biological evolution, Nature, 317, 804, 10.1038/317804a0

Cooper, 1979, A theory for the acquisition and loss of neuron specificity in visual cortex, Biol. Cybern., 33, 9, 10.1007/BF00337414

Cottrell, 1987, Learning internal representations from gray-scale images: An example of extensional programming, 461

Crick, 1983, The function of dream sleep, Nature, 304, 111, 10.1038/304111a0

1987

Dempster, 1976, Maximum likelihood from incomplete data via the EM algorithm, 1

Durbin, 1987, The elastic net method: An analogue approach to the travelling salesman problem, Nature, 326, 689, 10.1038/326689a0

Edelman, 1982, Selective networks capable of representative transformations, limited generalizations, and associative memory, 79, 2091

Elman, 1987, Discovering the hidden structure of speech

Feldman, 1982, Dynamic connections in neural networks, Biol. Cybern., 46, 27, 10.1007/BF00335349

Feldman, 1986, Neural representation of conceptual knowledge

Feldman, 1982, Connectionist models and their properties, Cognitive Sci., 6, 205, 10.1207/s15516709cog0603_1

Fukushima, 1975, Cognitron: A self-organizing multilayered neural network, Biol. Cybern., 20, 121, 10.1007/BF00342633

Fukushima, 1982, Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position, Pattern Recogn., 15, 455, 10.1016/0031-3203(82)90024-3

Geman, 1984, Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Trans. Pattern Anal. Mach. Intell., 6, 721, 10.1109/TPAMI.1984.4767596

Golden, 1987, A unified framework for connectionist systems

Grossberg, 1976, Adaptive pattern classification and universal recording, I: Parallel development and coding of neural feature detectors, Biol. Cybern., 23, 121, 10.1007/BF00344744

Grossberg, 1980, How does the brain build a cognitive code?, Psychol. Rev., 87, 1, 10.1037/0033-295X.87.1.1

Hampson, 1987, Disjunctive models of boolean category learning, Biol. Cybern., 55, 1

Hebb, 1949

Hinton, 1981, Implementing semantic networks in parallel hardware

Hinton, 1986, Learning distributed representations of concepts

Hinton, 1987, Learning translation invariant recognition in a massively parallel network, 1, 1

1981

Hinton, 1988, Learning representations by recirculation

Hinton, 1986, Distributed representations

Hinton, 1987, How learning can guide evolution, Complex Syst., 1, 495

Hinton, 1987, Using fast weights to deblur old memories

Hinton, 1983, Optimal perceptual inference, 448

Hinton, 1986, Learning and relearning in Boltzmann machines

Hogg, 1984, Understanding biological computation: Reliable learning and recognition, 81, 6871

Holland, 1975

Hopfield, 1982, Neural networks and physical systems with emergent collective computational abilities, 79, 2554

Hopfield, 1983, “Unlearning” has a stabilizing effect in collective memories, Nature, 304, 10.1038/304158a0

Hopfield, 1985, “Neural” computation of decisions in optimization problems, Biol. Cybern., 52, 141, 10.1007/BF00339943

Hummel, 1983, On the foundations of relaxation labeling processes, IEEE Trans. Pattern Anal. Mach. Intell., 5, 267, 10.1109/TPAMI.1983.4767390

Judd, 1987, Complexity of connectionist learning with various node functions

Kerszberg, 1986, The evolution of data processing abilities in competing automata

Kirkpatrick, 1983, Optimization by simulated annealing, Science, 220, 671, 10.1126/science.220.4598.671

Kohonen, 1977

Kohonen, 1982, Clustering, taxonomy, and topological maps of patterns

Lang, 1987, Connectionist speech recognition

Le Cun, 1985, A learning scheme for asymmetric threshold networks, 599

Le Cun, 1987, Modèles connexionnistes de l'apprentissage, 10.3406/intel.1987.1804

Linsker, 1986, From basic network principles to neural architecture: Emergence of spatial opponent cells, 83, 7508

Linsker, 1986, From basic network principles to neural architecture: Emergence of orientation-selective cells, 83, 8390

Linsker, 1986, From basic network principles to neural architecture: Emergence of orientation columns, 83, 8779

Linsker, 1987, Development of feature-analyzing cells and their columnar organization in a layered self-adaptive network

Marroquin, 1985, Probabilistic solution of inverse problems

Minsky, 1954, Theory of neural-analog reinforcement systems and its application to the brain-model problem

Minsky, 1977, Plain talk about neurodevelopmental epistemology, 1083

Minsky, 1969

Munro, 1987, A dual back-propagation scheme for scalar reinforcement learning

Parker, 1985, Learning-logic

Parker, 1987

Pearl, 1986, Fusion, propagation, and structuring in belief networks, Artificial Intelligence, 29, 241, 10.1016/0004-3702(86)90072-X

Pearlmutter, 1986, G-maximization: An unsupervised learning procedure for discovering regularities, 151, 333

Peterson, 1987, A mean field theory learning algorithm for neural networks

Plaut, 1987, Learning sets of filters using back-propagation, Comput. Speech Lang., 2, 36, 10.1016/0885-2308(87)90026-X

Prager, 1986, Boltzmann machines for speech recognition, Comput. Speech Lang, 1, 1, 10.1016/S0885-2308(86)80008-0

Rosenblatt, 1962

Rumelhart, 1986, On the acquisition of the past tense in English

1986

Rumelhart, 1986, Learning internal representations by back-propagating errors, Nature, 323, 533, 10.1038/323533a0

Rumelhart, 1986, Learning internal representations by error propagation

Rumelhart, 1985, Competitive learning, Cognitive Sci., 9, 75, 10.1207/s15516709cog0901_5

Saund, 1986, Abstraction and representation of continuous variables in connectionist networks, 638

Sejnowski, 1987, Parallel networks that learn to pronounce English text, Complex Syst., 1, 145

Simon, 1969

Sutton, 1984, Temporal credit assignment in reinforcement learning

Sutton, 1987, Learning to predict by the method of temporal differences

Tank, 1987, Neural computation by concentrating information in time, 84, 1896

Terzopoulos, 1984, Multiresolution computation of visible surface representations

Tesauro, 1987, Scaling relationships in back-propagation learning: Dependence on training set size, Complex Syst., 2, 367

Thatachar, 1985, Learning optimal discriminant functions through a cooperative game of automata

Tsotsos, 1987, A “complexity level” analysis of vision, 346

Valiant, 1984, A theory of the learnable, Commun. ACM, 27, 1134, 10.1145/1968.1972

Volper, 1986, Connectionist models of boolean category representation, Biol. Cybern., 54, 393, 10.1007/BF00355545

von der Malsburg, 1973, Self-organization of orientation sensitive cells in striate cortex, Kybernetik, 14, 85, 10.1007/BF00288907

von der Malsburg, 1981, The correlation theory of brain function

Waibel, 1987, Phoneme recognition using time-delay neural networks

Werbos, 1974, Beyond regression: New tools for prediction and analysis in the behavioral sciences

Widrow, 1960, Adaptive switching circuits, IRE WESCON Conv. Record, 4, 96

Widrow, 1985

Williams, 1986, Reinforcement learning in connectionist networks: A mathematical analysis

Willshaw, 1981, Holography, associative memory, and inductive generalization

Willshaw, 1979, A marker induction mechanism for the establishment of ordered neural mapping: Its application to the retino-tectal connections, Philos. Trans. Roy. Soc. Lond. B, 287, 203, 10.1098/rstb.1979.0056