Episodic Memory: Analysis and Simulations

[1]  B. McNaughton,et al.  Hippocampal synaptic enhancement and information storage within a distributed memory system , 1987, Trends in Neurosciences.

[2]  Sompolinsky,et al.  Spin-glass models of neural networks. , 1985, Physical review. A, General physics.

[3]  Michael McCloskey,et al.  Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem , 1989 .

[4]  B L McNaughton,et al.  Dynamics of the hippocampal ensemble code for space. , 1993, Science.

[5]  R. Sutherland,et al.  Configural association theory: The role of the hippocampal formation in learning, memory, and amnesia , 1989, Psychobiology.

[6]  J. Keeler.  Comparison Between Kanerva's SDM and Hopfield-Type Neural Networks , 1988, Cogn. Sci..

[7]  H. C. LONGUET-HIGGINS,et al.  Non-Holographic Associative Memory , 1969, Nature.

[8]  E. Kandel.  Nerve cells and behavior. , 1970, Scientific American.

[9]  W. Cowan,et al.  On the numbers of neurons on fields CA1 and CA3 of the hippocampus of Sprague-Dawley and Wistar rats , 1987, Brain Research.

[10]  Scott E. Fahlman,et al.  The Recurrent Cascade-Correlation Architecture , 1990, NIPS.

[11]  Noga Alon,et al.  The Probabilistic Method , 2015, Fundamentals of Ramsey Theory.

[12]  T. Kohonen,et al.  Representation of sensory information in self-organizing feature maps , 1987 .

[13]  Teuvo Kohonen,et al.  Correlation Matrix Memories , 1972, IEEE Transactions on Computers.

[14]  R Ratcliff,et al.  Connectionist models of recognition memory: constraints imposed by learning and forgetting functions. , 1990, Psychological review.

[15]  Antonio R. Damasio,et al.  The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones , 1989, Neural Computation.

[16]  D. Amaral,et al.  Memory and the Hippocampus , 1989 .

[17]  Santosh S. Venkatesh,et al.  The capacity of the Hopfield associative memory , 1987, IEEE Trans. Inf. Theory.

[18]  Stephen Grossberg,et al.  Studies of mind and brain , 1982 .

[19]  F. Attneave,et al.  The Organization of Behavior: A Neuropsychological Theory , 1949 .

[20]  E I Knudsen,et al.  Computational maps in the brain. , 1987, Annual review of neuroscience.

[21]  Edmund T. Rolls,et al.  What determines the capacity of autoassociative memories in the brain? Network , 1991 .

[22]  E. Halgren,et al.  Role of inhibition in memory retrieval by hippocampal area CA3 , 1994, Neuroscience & Biobehavioral Reviews.

[23]  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.

[24]  William G. Faris,et al.  Probabilistic analysis of a learning matrix , 1988, Advances in Applied Probability.

[25]  A. Damasio.  Time-locked multiregional retroactivation: A systems-level proposal for the neural substrates of recall and recognition , 1989, Cognition.

[26]  Rolls Et.  Neurons in the cortex of the temporal lobe and in the amygdala of the monkey with responses selective for faces. , 1984 .

[27]  Teuvo Kohonen,et al.  Associative memory. A system-theoretical approach , 1977 .

[28]  J.A. Anderson,et al.  Theory of categorization based on distributed memory storage. , 1984 .

[29]  Geoffrey E. Hinton.  Using fast weights to deblur old memories , 1987 .

[30]  Shun-ichi Amari.  Associative Memory and Its Statistical Neurodynamical Analysis , 1988 .

[31]  Wayne A. Wickelgren,et al.  Chunking and consolidation: A theoretical synthesis of semantic networks configuring in conditioning , 1979 .

[32]  Geoffrey E. Hinton,et al.  Parallel Models of Associative Memory , 1989 .

[33]  W A Little,et al.  A statistical theory of short and long term memory. , 1975, Behavioral biology.

[34]  Leon N. Cooper,et al.  A possible organization of animal memory and learning , 1973 .

[35]  Willard L. Miranker,et al.  Cortical memory dynamics , 1998, Biological Cybernetics.

[36]  Daniel J. Amit,et al.  Modeling brain function: the world of attractor neural networks, 1st Edition , 1989 .

[37]  Robert M. French,et al.  Using Semi-Distributed Representations to Overcome Catastrophic Forgetting in Connectionist Networks , 1991 .

[38]  James L. McClelland,et al.  A distributed model of human learning and memory , 1986 .

[39]  Christian Lebiere,et al.  The Cascade-Correlation Learning Architecture , 1989, NIPS.

[40]  James A. Anderson,et al.  A simple neural network generating an interactive memory , 1972 .

[41]  P. Peretto,et al.  Collective Properties of Neural Networks , 1986 .

[42]  James L. McClelland,et al.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.

[43]  D Marr,et al.  Simple memory: a theory for archicortex. , 1971, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[44]  M. Hasselmo,et al.  The role of expression and identity in the face-selective responses of neurons in the temporal visual cortex of the monkey , 1989, Behavioural Brain Research.

[45]  Stephen A. Ritz,et al.  Distinctive features, categorical perception, and probability learning: some applications of a neural model , 1977 .

[46]  Helge Ritter.  Asymptotic level density for a class of vector quantization processes , 1991, IEEE Trans. Neural Networks.

[47]  Stephen Grossberg,et al.  Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..

[48]  Sompolinsky,et al.  Storing infinite numbers of patterns in a spin-glass model of neural networks. , 1985, Physical review letters.

[49]  L. Squire.  CHAPTER 7 – Memory and the Brain* , 1986 .

[50]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[51]  G. Palm.  On the storage capacity of an associative memory with randomly distributed storage elements , 2004, Biological Cybernetics.

[52]  Risto Miikkulainen,et al.  Subsymbolic natural language processing - an integrated model of scripts, lexicon, and memory , 1993, Neural network modeling and connectionism.