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I introduce a novel associative memory model named Correlated Dense Associative Memory (CDAM), which integrates both auto- and hetero-association in a unified framework for continuous-valued memory patterns.
On hamiltonian circuits
Tutte, W. T · 1946
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History of the lenz-ising model
Brush, S. G · 1967
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Simple memory: a theory for archicortex
Marr, D · 1971
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Learning patterns and pattern sequences by self-organizing nets of threshold elements
Amari, S.-I · 1972
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Associatron-a model of associative memory
Nakano, K · 1972
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The existence of persistent states in the brain
Little, W · 1974
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Solvable model of a spin-glass
Sherrington, D. and Kirkpatrick, S · 1975
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Simulation studies of a temporal sequence memory model
Stanley, J. C · 1976
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Rigorously solvable model of spin glass
Pastur, L. and Figotin, A · 1977
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An information flow model for conflict and fission in small groups
Zachary, W. W · 1977
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Neuronal generation of the leech swimming movement
Stent, G. S., Kristan, W. B., Friesen, W. O., Ort, C. A., Poon, M., and Calabrese, R. L · 1978
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Neural networks and physical systems with emergent collective computational abilities
Hopfield, J. J · 1982
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The function of dream sleep
Crick, F. and Mitchison, G · 1983
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‘unlearning’has a stabilizing effect in collective memories
Hopfield, J. J., Feinstein, D. I., and Palmer, R. G · 1983
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Storing infinite numbers of patterns in a spin-glass model of neural networks
Amit, D. J., Gutfreund, H., and Sompolinsky, H · 1985
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Associative recall of memory without errors
Kanter, I. and Sompolinsky, H · 1987
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Neural computation by concentrating information in time
Tank, D. W. and Hopfield, J. J · 1987
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Neural networks counting chimes
Amit, D. J · 1988
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Processing of temporal sequences in neural networks
Gutfreund, H. and Mezard, M · 1988
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Associative neural network model for the generation of temporal patterns. theory and application to central pattern generators
Kleinfeld, D. and Sompolinsky, H · 1988
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Neuronal correlate of visual associative long-term memory in the primate temporal cortex
Miyashita, Y · 1988
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Metastable states in asymmetrically diluted Hopfield networks
Treves, A. and Amit, D. J · 1988
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Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors
Griniasty, M., Tsodyks, M. V., and Amit, D. J · 1993
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Density plots of hidden value unit activations reveal interpretable bands
Berkeley, I · 1995
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Reliability and statistical efficiency of a blowfly movement-sensitive neuron
de Ruyter van Steveninck, R. and Bialek, W · 1995
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On the storage capacity of Hopfield models with correlated patterns
Löwe, M · 1998
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Genealogy of the “grandmother cell”
Gross, C. G · 2002
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Representation of the quantity of visual items in the primate prefrontal cortex
Nieder, A., Freedman, D. J., and Miller, E. K · 2002
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Invariant visual representation by single neurons in the human brain
Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., and Fried, I · 2005
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Neural encoding of the concept of nest in the mouse brain
Lin, L., Chen, G., Kuang, H., Wang, D., and Tsien, J. Z · 2007
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Sparse but not ‘grandmother-cell’ coding in the medial temporal lobe
Quiroga, R. Q., Kreiman, G., Koch, C., and Fried, I · 2007
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Neural syntax: Cell assemblies, synapsembles, and readers
Buzsáki, G · 2010
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The memory function of sleep
Diekelmann, S. and Born, J · 2010
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Anti-hebbian spike-timing-dependent plasticity and adaptive sensory processing
Roberts, P. and Leen, T · 2010
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The Hopfield model on a sparse Erdös-Renyi graph
Löwe, M. and Vermet, F · 2011
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Extended temporal association memory by modulations of inhibitory circuits
Haga, T. and Fukai, T · 2019
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Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron types
Hertäg, L. and Sprekeler, H · 2019
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Training linear finite-state machines
Ardakani, A., Ardakani, A., and Gross, W · 2020
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Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al · 2020
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Characteristics of sequential activity in networks with temporally asymmetric hebbian learning
Gillett, M., Pereira, U., and Brunel, N · 2020
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A model for structured information representation in neural networks of the brain
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Building high-level features using large scale unsupervised learning
Le, Q. V., Ranzato, M., Monga, R., Devin, M., Chen, K., Corrado, G. S., Dean, J., and Ng, A. Y · 2012
Cited alongside, same era.
Supramodal numerosity selectivity of neurons in primate prefrontal and posterior parietal cortices
Nieder, A · 2012
Cited alongside, same era.
Gaba promotes the competitive selection of dendritic spines by controlling local ca2+ signaling
Hayama, T., Noguchi, J., Watanabe, S., Takahashi, N., Hayashi-Takagi, A., Ellis-Davies, G. C., Matsuzaki, M., and Kasai, H · 2013
Cited alongside, same era.
Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of v1
King, P. D., Zylberberg, J., and DeWeese, M. R · 2013
Cited alongside, same era.
Gabaergic circuits control spike-timing-dependent plasticity
Paille, V., Fino, E., Du, K., Morera-Herreras, T., Perez, S., Kotaleski, J. H., and Venance, L · 2013
Cited alongside, same era.
Neural representations of events arise from temporal community structure
Schapiro, A. C., Rogers, T. T., Cordova, N. I., Turk-Browne, N. B., and Botvinick, M. M · 2013
Cited alongside, same era.
Müller, M. G., Papadimitriou, C. H., Maass, W., and Legenstein, R · 2020
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Brain computation by assemblies of neurons
Papadimitriou, C. H., Vempala, S. S., Mitropolsky, D., Collins, M., and Maass, W · 2020
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The tolman-eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation
Whittington, J. C., Muller, T. H., Mark, S., Chen, G., Barry, C., Burgess, N., and Behrens, T. E · 2020
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Rem sleep promotes experience-dependent dendritic spine elimination in the mouse cortex
Zhou, Y., Lai, C. S. W., Bai, Y., Li, W., Zhao, R., Yang, G., Frank, M. G., and Gan, W.-B · 2020
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Multiscale representations of community structures in attractor neural networks
Haga, T. and Fukai, T · 2021
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Hopfield networks is all you need
Ramsauer, H., Schäfl, B., Lehner, J., Seidl, P., Widrich, M., Gruber, L., Holzleitner, M., Adler, T., Kreil, D., Kopp, M. K., Klambauer, G., Brandstetter, J., and Hochreiter, S · 2021
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Biological learning in key-value memory networks
Tyulmankov, D., Fang, C., Vadaparty, A., and Yang, G. R · 2021
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Multiscale and extended retrieval of associative memory structures in a cortical model of local-global inhibition balance
Burns, T. F., Haga, T., and Fukai, T · 2022
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Elhage, N., Hume, T., Olsson, C., Schiefer, N., Henighan, T., Kravec, S., Hatfield-Dodds, Z., Lasenby, R., Drain, D., Chen, C., et al · 2022
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Schottky’s forgotten step to the ising model
Folk, R. and Holovatch, Y · 2022
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Universal hopfield networks: A general framework for single-shot associative memory models
Millidge, B., Salvatori, T., Song, Y., Lukasiewicz, T., and Bogacz, R · 2022
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A cerebellar origin of feedforward inhibition to the motor cortex in non-human primates
Nashef, A., Cohen, O., Perlmutter, S. I., and Prut, Y · 2022
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Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold
Sharma, S., Chandra, S., and Fiete, I · 2022
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Relating transformers to models and neural representations of the hippocampal formation
Whittington, J. C. R., Warren, J., and Behrens, T. E · 2022
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Simplicial hopfield networks
Burns, T. F. and Fukai, T · 2023
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Long sequence hopfield memory, 2023
Chaudhry, H. T., Zavatone-Veth, J. A., Krotov, D., and Pehlevan, C · 2023
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Effect of spatial correlations on hopfield neural network and dense associative memories
De Marzo, G. and Iannelli, G · 2023
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A cellular basis for mapping behavioural structure
El-Gaby, M., Harris, A. L., Whittington, J. C. R., Dorrell, W., Bhomick, A., Walton, M. E., Akam, T., and Behrens, T. E. J · 2023
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General sequential episodic memory model
Karuvally, A., Sejnowski, T., and Siegelmann, H. T · 2023
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Transformers learn shortcuts to automata
Liu, B., Ash, J. T., Goel, S., Krishnamurthy, A., and Zhang, C · 2023
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The exponential capacity of dense associative memories, 2023
Lucibello, C. and Mézard, M · 2023
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Localist versus distributed representation of sounds in the auditory cortex controlled by distinct inhibitory neuronal subtypes
Tobin, M., Sheth, J., Wood, K. C., and Geffen, M. N · 2023
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Scaling laws for associative memories
Cabannes, V., Dohmatob, E., and Bietti, A · 2024
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