Multilevel analysis of classical conditioning in a behaving real world artifact
暂无分享,去创建一个
Olaf Sporns | Giulio Tononi | Paul F. M. J. Verschure | Gerald M. Edelman | Jonny Wray | G. Edelman | O. Sporns | G. Tononi | P. Verschure | J. Wray
[1] R. Gardner,et al. Feedforward versus feedbackward: An ethological alternative to the law of effect , 1988, Behavioral and Brain Sciences.
[2] G. Edelman,et al. Signal and sense : local and global order in perceptual maps , 1990 .
[3] G. Edelman,et al. Reentry and the problem of integrating multiple cortical areas: simulation of dynamic integration in the visual system. , 1992, Cerebral cortex.
[4] R. Rescorla. Behavioral studies of Pavlovian conditioning. , 1988, Annual review of neuroscience.
[5] D. McCormick,et al. Neurotransmitter control of neocortical neuronal activity and excitability. , 1993, Cerebral cortex.
[6] P. Verschure,et al. Adaptive fields: distributed representations of classically conditioned associations , 1991 .
[7] W. Singer,et al. Long-term depression of excitatory synaptic transmission and its relationship to long-term potentiation , 1993, Trends in Neurosciences.
[8] John Hallam,et al. An Emerging Paradigm in Robot Architecture , 1989, IAS.
[9] D. O. Hebb,et al. The organization of behavior , 1988 .
[10] N. Weinberger. Learning-induced changes of auditory receptive fields , 1993, Current Opinion in Neurobiology.
[11] N. Mackintosh. The psychology of animal learning , 1974 .
[12] J. Pearce,et al. A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli. , 1980, Psychological review.
[13] T. Bliss,et al. A synaptic model of memory: long-term potentiation in the hippocampus , 1993, Nature.
[14] F. Mondada,et al. Modeling system-environment interaction: the complimentary roles of simulation and real world artifacts , 1993 .
[15] E. Oja. Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.
[16] W. Schultz,et al. Responses of monkey dopamine neurons during learning of behavioral reactions. , 1992, Journal of neurophysiology.
[17] Joseph E LeDoux. Emotion: clues from the brain. , 1995, Annual review of psychology.
[18] S. Foote,et al. Extrathalamic modulation of cortical function. , 1987, Annual review of neuroscience.
[19] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[20] D. Cliff. From animals to animats , 1994, Nature.
[21] R. F. Thompson,et al. Mammalian brain substrates of aversive classical conditioning. , 1993, Annual review of psychology.
[22] A. Klopf. A neuronal model of classical conditioning , 1988 .
[23] Takeo Kanade,et al. Intelligent Autonomous Systems , 1991, Robotics Auton. Syst..
[24] E. Macphail. Psychology via Physiology. (Book Reviews: The Neuroscience of Animal Intelligence. From the Seahare to the Seahorse.) , 1993 .
[25] P. Holland. Cognitive aspects of classical conditioning , 1993, Current Opinion in Neurobiology.
[26] Karl J. Friston,et al. Value-dependent selection in the brain: Simulation in a synthetic neural model , 1994, Neuroscience.
[27] Dario Floreano,et al. From Animals to Animats 2: Proceedings of the Second International Conference on Simulation of Adaptive Behavior , 2000, Journal of Cognitive Neuroscience.
[28] Ben J. A. Kröse,et al. Distributed adaptive control: The self-organization of structured behavior , 1992, Robotics Auton. Syst..
[29] Joseph E LeDoux,et al. An anatomically constrained neural network model of fear conditioning. , 1995, Behavioral neuroscience.
[30] Edward F. Moore,et al. Gedanken-Experiments on Sequential Machines , 1956 .
[31] R. Rescorla,et al. A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement , 1972 .
[32] C. H. Vanderwolf,et al. The behavioral neurobiology of learning and memory: A conceptual reorientation , 1994, Brain Research Reviews.
[33] G. Edelman,et al. Synthetic neural modeling applied to a real-world artifact. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[34] M. Gabriel,et al. Learning and Computational Neuroscience: Foundations of Adaptive Networks , 1990 .
[35] Paul F. M. J. Verschure,et al. Categorization, representations, and the dynamics of system-environment interaction: a case study in autonomous systems , 1993 .
[36] R. F. Thompson,et al. Cellular processes of learning and memory in the mammalian CNS. , 1983, Annual review of neuroscience.
[37] W. Singer,et al. Effects of Intracortical Infusion of Anticholinergic Drugs on Neuronal Plasticity in Kitten Striate Cortex , 1993, The European journal of neuroscience.
[38] G. Reeke,et al. Behaviorally based modeling and computational approaches to neuroscience. , 1993, Annual review of neuroscience.
[39] C. Gallistel. The organization of learning , 1990 .
[40] Paul F. M. J. Verschure,et al. Formal minds and biological brains: AI and Edelman's extended theory of neuronal group selection , 1993, IEEE Expert.
[41] M. Delong,et al. Context-dependent responses of primate nucleus basalis neurons in a go/no-go task , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.