Fetching the paper…
Reading the bibliography…
The brain must robustly store a large number of memories, corresponding to the many events encountered over a lifetime.
A mathematical theory of communication
Shannon, C · 1948
Earlier work this paper cites.
Error detecting and error correcting codes
Hamming, R. W · 1950
Earlier work this paper cites.
Possible principles underlying the transformations of sensory messages
Barlow, H. B · 1961
Earlier work this paper cites.
The existence of persistent states in the brain
Little, W · 1974
Earlier work this paper cites.
New upper bounds on the rate of a code via the Delsarte-MacWilliams inequalities
McEliece, R. J., Rodemich, E. R., Rumsey Jr, H. & Welch, L. R · 1977
Earlier work this paper cites.
On the inherent intractability of certain coding problems
Berlekamp, E. R., McEliece, R. J. & Van Tilborg, H. C · 1978
Earlier work this paper cites.
Analytic theory of the ground state properties of a spin glass. I. ising spin glass
Tanaka, F. & Edwards, S · 1980
Earlier work this paper cites.
Neural networks and physical systems with emergent collective computational abilities
Hopfield, J. J · 1982
Earlier work this paper cites.
Optimal perceptual inference
Hinton, G. E. & Sejnowski, T. J · 1983
Earlier work this paper cites.
Extensions of Lipschitz mappings into a Hilbert space
Johnson, W. B. & Lindenstrauss, J · 1984
Earlier work this paper cites.
Storing infinite numbers of patterns in a spin-glass model of neural networks
Amit, D. J., Gutfreund, H. & Sompolinsky, H · 1985
Earlier work this paper cites.
Information capacity of the Hopfield model
Abu-Mostafa, Y. S. & St Jacques, J · 1985
Earlier work this paper cites.
The number of stable points of an infinite-range spin glass memory
McEliece, R. & Posner, E · 1985
Earlier work this paper cites.
“Neural” computation of decisions in optimization problems
Hopfield, J. J. & Tank, D. W · 1985
Earlier work this paper cites.
Computing with neural circuits- a model
Hopfield, J. J. & Tank, D. W · 1986
Earlier work this paper cites.
Simple ‘neural’ optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
Tank, D. W. & Hopfield, J. J · 1986
Earlier work this paper cites.
Information processing in dynamical systems: Foundations of harmony theory
Smolensky, P · 1986
Earlier work this paper cites.
The capacity of the Hopfield associative memory
McEliece, R., Posner, E. C., Rodemich, E. R. & Venkatesh, S · 1987
Earlier work this paper cites.
Associative recall of memory without errors
Kanter, I. & Sompolinsky, H · 1987
Earlier work this paper cites.
Number of stable points for spin-glasses and neural networks of higher orders
Baldi, P. & Venkatesh, S. S · 1987
Earlier work this paper cites.
Nonlinear neural networks: Principles, mechanisms, and architectures
Grossberg, S · 1988
Earlier work this paper cites.
Associative memory in asymmetric diluted network with low level of activity
Tsodyks, M. V · 1988
Cited alongside, same era.
Optimal storage properties of neural network models
Gardner, E. & Derrida, B · 1988
Cited alongside, same era.
Spin-glass models as error-correcting codes
Sourlas, N · 1989
Cited alongside, same era.
Unbiased stereological estimation of the number of neurons in the human hippocampus
West, M. J. & Gundersen, H · 1990
Cited alongside, same era.
The strength of weak learnability
Schapire, R. E · 1990
Cited alongside, same era.
What determines the capacity of autoassociative memories in the brain?
Treves, A. & Rolls, E. T · 1991
Cited alongside, same era.
Stable signal recovery from incomplete and inaccurate measurements
Candes, E. J., Romberg, J. K. & Tao, T · 2006
Later among the works it cites.
Compressed sensing
Donoho, D. L · 2006
Later among the works it cites.
The human brain in numbers: a linearly scaled-up primate brain
Herculano-Houzel, S · 2009
Later among the works it cites.
Handbook of brain microcircuits (Oxford University Press, 2010)
Shepherd, G. & Grillner, S · 2010
Later among the works it cites.
Efficient and optimal binary hopfield associative memory storage using minimum probability flow
Hillar, C., Sohl-Dickstein, J. & Koepsell, K · 2012
Later among the works it cites.
Expander graphs in pure and applied mathematics
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Unbiased stereological estimation of the total number of neurons in the subdivisions of the rat hippocampus using the optical fractionator
West, M., Slomianka, L. & Gundersen, H. J. G · 1991
Cited alongside, same era.
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Olshausen, B. A. & Field, D. J · 1996
Cited alongside, same era.
Expander codes
Sipser, M. & Spielman, D. A · 1996
Cited alongside, same era.
Neocortical neuron number in humans: effect of sex and age
Pakkenberg, B. & Gundersen, H. J. G · 1997
Cited alongside, same era.
Long-term attraction in higher order neural networks
Burshtein, D · 1998
Cited alongside, same era.
The information bottleneck method
Tishby, N., Pereira, F. C. & Bialek, W · 1999
Cited alongside, same era.
Lubotzky, A · 2012
Later among the works it cites.
The hippocampus as a stable memory allocator for cortex
Valiant, L. G · 2012
Later among the works it cites.
Iterative learning and denoising in convolutional neural associative memories
Karbasi, A., Salavati, A. H. & Shokrollahi, A · 2013
Later among the works it cites.
Long-term dynamics of CA1 hippocampal place codes
Ziv, Y. et al · 2013
Later among the works it cites.
A Hopfield recurrent neural network trained on natural images performs state-of-the-art image compression
Hillar, C., Mehta, R. & Koepsell, K · 2014
Later among the works it cites.
Robust exponential memory in Hopfield networks
Hillar, C. & Tran, N. M · 2014
Later among the works it cites.
Fiete, I., Schwab, D. J. & Tran, N. M · 2014
Later among the works it cites.
Nonbinary associative memory with exponential pattern retrieval capacity and iterative learning
Salavati, A. H., Kumar, K. R. & Shokrollahi, A · 2014
Later among the works it cites.
The log-dynamic brain: how skewed distributions affect network operations
Buzsáki, G. & Mizuseki, K · 2014
Later among the works it cites.
Large environments reveal the statistical structure governing hippocampal representations
Rich, P. D., Liaw, H.-P. & Lee, A. K · 2014
Later among the works it cites.
Deep learning
LeCun, Y., Bengio, Y. & Hinton, G · 2015
Later among the works it cites.
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
Alemi, A., Baldassi, C., Brunel, N. & Zecchina, R · 2015
Later among the works it cites.
Conjunctive input processing drives feature selectivity in hippocampal ca1 neurons
Bittner, K. C. et al · 2015
Later among the works it cites.
Heavy hitters via cluster-preserving clustering
Larsen, K. G., Nelson, J., Nguyên, H. L. & Thorup, M · 2016
Later among the works it cites.
Exponential capacity in an autoencoder neural network with a hidden layer
Alemi, A. & Abbara, A · 2017
Closest in time.
Optimal degrees of synaptic connectivity
Litwin-Kumar, A., Harris, K. D., Axel, R., Sompolinsky, H. & Abbott, L · 2017
Closest in time.