1982. Phenomenal coherence of moving visual patterns. Nature 300, 523–525. &
1985. Encoding of spatial location by posterior parietal neurons. Science 230, 456–458., &
1985. Learning by statistical cooperation of sele-interested neuron-like computing elements. Hum Neurobiol 4, 229–256.
1985. Pattern-recognizing stochastic learning automata. IEEE Syst Man CyberneticsSMC-15, 360–375. &
1983. Neuronlike elements that can solve difficult learning control problems. IEEE Trans Systems Man Cybernetics 13, 835–846., &
1996. Neural Networks for Pattern Recognition. Oxford University Press.
1994. Neural networks: a review from a statistical perspective. Statist Sci 9, 2–54. &
1990. On the control of automatic processes – a parallel distributed-processing account of the Stroop effect. Psychol Rev 97, 332–361., &
1989. The recent excitement about neural networks. Nature 337, 129–132.
2002. Levels of analysis in neural modeling. In Encyclopedia of Cognitive Science (ed. L. Nadel). Nature Publishing Group; John Wiley & Sons Ltd.
1999. Computational analyses in cognitive neuroscience: in defense of biological implausibility. Psychon Bull Rev 6, 173–182. &
1990. Finding structure in time. Cogn Sci 14, 179–211.
1997. Propagation of activity-dependent synaptic depression in simple neural networks. Nature 388, 439–448., &
2001. Scientific models, connectionist networks, and cognitive science. Theory Psychol 11, 97–117.
1997. An Introduction to Neural Networks. UCL Press (Taylor and Francis group).
2004. Computational models of the basal ganglia: from robots to membranes. Trends Neurosci 27, 453–459., , &
1992. A self-organising neural network model of image velocity encoding. Biol Cybernetics 68, 173–181. &
1999. Neural Networks: A Comprehensive Foundation. Prentice Hall.
1949. The Organization of Behaviour. John Wiley.
1991. Lesioning an attractor network – investigations of acquired dyslexia. Psychol Rev 98, 74–95. &
1952. A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117, 500–544. &
1982. Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci USA 79, 2554–2558.
1968. Receptive fields and functional architecture of monkey striate cortex. J Physiol 195, 215–243. &
1991. Task decomposition through competition in a modular connectionist architecture. Cogn Sci 15, 219–250., &
1986. Serial Order: a Parallel Distributed Approach. University of California, Institute for Cognitive Science.
1999. The Biophysics of Computation: Information Processing in Single Neurons. Oxford University Press.
2002. Single-cell models. In The Handbook of Brain Theory and Neural Networks (ed. ). MIT Press., &
1984. Self-organization and Associative Memory. Springer Verlag.
1987. An introduction to computing with neural nets. ASSP Magazine, IEEE 4, 4–22.
1991. Half a century of research on the Stroop effect – an integrative review. Psychol Bull 109, 163–203.
1989. Formation of disconnected decision regions with a single hidden layer. In International Joint Conference on Neural Networks, Vol. 1, pp. 455–460., &
1982. Vision: A Computational Investigation into Human Representation and Processing of Visual Information. W.H. Freeeman and Co.
1976. From Understanding Computation to Understanding Neural Circuitry. MIT AI Laboratory. &
1995. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychol Rev 102, 419–457., &
1985. Distributed memory and the representation of general and specific information. J Exp Psychol Gen 114, 159–188. &
1991. Networks and theories – the place of connectionism in cognitive science. Psychol Sci 2, 387–395.
1943. A logical calculus of the ideas immanent in nervous activity. Bull Math Biophysics 7, 115–133. &
1969. Perceptrons. MIT Press. &
1985. The analysis of moving visual patterns. In Pattern Recognition Mechanisms (ed. , & ), pp. 117–151. Springer-Verlag., , &
1982. Learning-logic. Office of Technology Licensing, Stanford University.
2000. Mechanisms of Cortical Development. Oxford University Press. &
1996. Spikes. MIT Press., , &
1958. The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65, 386–408.
1995. Improving neural net generalisation. In Proceedings of IGARSS'95. Firenze, Italy. &
1986. Parallel Distributed Processing: Explorations in the Microstructure of Cognition. MIT Press., & .
1993. Learning and connectionist representations. In Attention and Performance XIV (ed. & ), pp. 3–31. MIT Press. &
1996. Global optimization for neural network training. IEEE Computer 29, 45–54. &
1998. Introduction to synaptic circuits. In The Synaptic Organization of the Brain (ed. G. M. Shepherd), pp. 1–36. Oxford University Press. &
1988. On the proper treatment of connectionism. Behav Brain Sci 11, 1–23.
1974. Cross-validatory choice and assesment of statistical predictions. J R Statist Soc B36, 111–133.
1935. Studies of interference in serial verbal reactions. J Exp Psychol 18, 643–662.
1988. Learning to predict by the method of temporal differences. Machine Learn 3, 9–44.
1998. Reinforcement: An Introduction. MIT Press. &
1980. A model for the formation of ocular dominance stripes. Proc R Soc B 208, 243–264.
1995. Connectionist and symbolic representations. In The Handbook of Brain Theory and Neural Networks, 1st Edn. (ed. ), pp. 243–247. MIT Press.
1996. Backpropagator's review. www.dontveter.com/bpr/activate.html
1991. Occlusion and the perception of coherent motion. Vision Res 31, 1967–1978. &
1973. Self-organization of orientation sensitive cells in the striate cortex. Kybernetik 14, 85–100.
1976. On perceived identity 1: The direction of motion of straight lines. In On Perception (ed. ). Quadrangle.
1974. Beyond Regression: New Tools for Prediction and Analysis in the Behavioural Sciences. Harvard University.
1960. Adaptive switching circuits. In IRE WESCON Convention Record, pp. 96–104. &
1985. Adaptive Signal Processing. Prentice Hall. &
1987. Geometric analysis of neural network capabilities. In 1st IEEE International Conference on Neural Networks, Vol. III, pp. 385–392. San Diego, California. &
1987. Reinforcement Learning Connectionist Systems. Northeastern University, Boston.
1976. How patterned neural connections can be set up by self-organization. Proc R Soc B 194, 431–445. &
1992. Identification models of the nervous system. Neuroscience 47, 853–862.
1988. A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons. Nature 331, 679–684. &