Journal ArticleDOI
Non-holographic associative memory
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TLDR
The features of a hologram that commend it as a model of associative memory can be improved on by other devices.Abstract:
The features of a hologram that commend it as a model of associative memory can be improved on by other devices.read more
Citations
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Journal ArticleDOI
Biological constraints on neural network models of cognitive function
Friedemann Pulvermüller,Rosario Tomasello,Rosario Tomasello,Malte R. Henningsen-Schomers,Malte R. Henningsen-Schomers,Thomas Wennekers +5 more
TL;DR: In this paper, different types of neural network models, including localist, auto-associative, hetero-aggregative, deep and whole-brain networks, are discussed and various aspects under which their biological plausibility can be improved.
Journal ArticleDOI
Transients and basins of attraction in neutral network models
TL;DR: In this paper, approximate dynamic mean field equations for a generalized Hopfield model are derived, which allow to calculate transient properties of this model and yield the replica symmetric solution as a stationary solution.
Journal ArticleDOI
Correlated Fluctuations in Strongly Coupled Binary Networks Beyond Equilibrium
TL;DR: The systematic cumulant expansion for kinetic binary (Ising) threshold units with strong, random and asymmetric couplings presented here goes beyond mean-field theory and is applicable outside thermodynamic equilibrium; a system of approximate non-linear equations predicts average activities and pairwise covariances in quantitative agreement with full simulations down to hundreds of units.
Proceedings ArticleDOI
Performance Limits Of Optical, Electro-Optical, And Electronic Neurocomputers
TL;DR: The performance limits of optical, electro-optical, and electronic artificial neural systems (ANS) processors are discussed in this paper, where an overview of the recently revived field of ANS is provided.
Journal ArticleDOI
Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories
TL;DR: Mean-field (MF) theory is extended to realistic networks of spiking neurons storing in synaptic couplings of randomly chosen stimuli of a given low coding level and is used to produce (predict) bifurcation diagrams and compute the storage capacity of the network.
References
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Journal ArticleDOI
Theory of Optical Information Storage in Solids
TL;DR: The theory of three-dimensional optical storage lends support to Beurle’s proposed mechanism of information storage in the brain, and makes three- dimensional storage very suitable for associative memories.
Journal ArticleDOI
Holographic Model of Temporal Recall
TL;DR: It is shown that there is at least one other mathematical model, which is considered to be a closer analogue of holography, because it operates with triple products of the temporal function to be recognized or recalled.
Journal ArticleDOI
Improved holographic model of temporal recall.
TL;DR: The modified static system described here is an alternative to Longuet-Higgins' model and takes account of the weaknesses of the nervous system as well as of its powers to imitate human memory with models.
Journal ArticleDOI
The Classification of Modifiable Synapses and Their Use In Models For Conditioning
TL;DR: It is argued that if the conditioning and memory mechanisms of the nervous system store information by means of modifiable synapses, some of these must be of class B or C, and if the models are to be given the property of extinction, classical conditioning requires modifiablesynapses of classes A and B or of class C.