On Reliable Computation With Formal Neurons
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Pictorial Information Retrieval Using the Random Neural Network
IEEE Transactions on Software Engineering
Fixed-point attractor analysis for a class of neurodynamics
Neural Computation
A Bayesian interpretation for the exponential correlation associative memory
Pattern Recognition Letters
Storage Capacity of the Exponential Correlation Associative Memory
Neural Processing Letters
A novel associative memory architecture for quick matching
ACM SIGARCH Computer Architecture News
Estimation of Performance of the Hopfield Randomized Memory
Problems of Information Transmission
A Neuron-Weighted Learning Algorithm and its Hardware Implementation in Associative Memories
IEEE Transactions on Computers
Neural Networks and Knowledge Engineering
IEEE Transactions on Knowledge and Data Engineering
The Science of Making ERORS: What Error Tolerance Implies for Capacity in Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Principal Interconnections in Higher Order Hebbian-Type Associative Memories
IEEE Transactions on Knowledge and Data Engineering
Computational complexity of neural networks: a survey
Nordic Journal of Computing
Using a Real-Time Web-Based Pattern Recognition System to Search for Component Patterns Database
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
Neural, Parallel & Scientific Computations
Generalizing Operations of Binary Autoassociative Morphological Memories Using Fuzzy Set Theory
Journal of Mathematical Imaging and Vision
Reconstruction of Patterns from Noisy Inputs Using Morphological Associative Memories
Journal of Mathematical Imaging and Vision
Associative morphological memories based on variations of the kernel and dual kernel methods
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Further Results on the Asymptotic Memory Capacity of the Generalized Hopfield Network
Neural Processing Letters
Image Watermarking Capacity Analysis using Neural Network
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
On the security of a clipped hopfield neural network-based cryptosystem
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Finite Memory Loading in Hairy Neurons
Natural Computing: an international journal
Neural Networks - 2005 Special issue: IJCNN 2005
Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition
Neural Processing Letters
Periodic solutions for a class of higher-order Cohen-Grossberg type neural networks with delays
Computers & Mathematics with Applications
Including hints in training neural nets
Neural Computation
The upper and lower bounds of the information-hiding capacity of digital images
Information Sciences: an International Journal
Associative memory with a controlled chaotic neural network
Neurocomputing
Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
The Average Radius of Attraction Basin of Hopfield Neural Networks
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Correlation between eigenvalue spectra and dynamics of neural networks
Neural Computation
Large memory capacity in chaotic artificial neural networks: a view of the anti-integrable limit
IEEE Transactions on Neural Networks
A model of an intraconnected neural parallel bidirectional memory
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A minimum interconnection direct storage model of a neural bidirectional memory
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Comparison of an efficient direct storage BAM model with traditional neural bidirectional memories
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A novel neural hetero-associative memory model for pattern recognition
Pattern Recognition
Linear unit relevance in multiclass NLDA networks
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Modeling of associative dynamics in hippocampal contributions to heuristic decision making
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Multistability in networks with self-excitation and high-order synaptic connectivity
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Identifier based graph neuron: a light weight event classification scheme for WSN
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
A single shot associated memory based classification scheme for WSN
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Associative memory with small world connectivity built on watts-strogatz model
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
The minimum detectable capacity of digital image information hiding
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
The maximum capacity and minimum detectable capacity of information hiding in digital images
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
A comparative study of neural network models
Mathematical and Computer Modelling: An International Journal
Extended bidirectional associative memories: A study on poor education
Mathematical and Computer Modelling: An International Journal
Nonlinear quantization on Hebbian-type associative memories
Applied Intelligence
An interactive tool for the stock market research using recursive neural networks
International Journal of Advanced Intelligence Paradigms
Quantum set intersection and its application to associative memory
The Journal of Machine Learning Research
International Journal of Hybrid Intelligent Systems
| Hi-index | 754.84 |
Techniques from coding theory are applied to study rigorously the capacity of the Hopfield associative memory. Such a memory storesn-tuple ofpm 1's. The components change depending on a hard-limited version of linear functions of all other components. With symmetric connections between components, a stable state is ultimately reached. By building up the connection matrix as a sum-of-outer products ofmfundamental memories, one hopes to be able to recover a certain one of themmemories by using an initialn-tuple probe vector less than a Hamming distancen/2away from the fundamental memory. Ifmfundamental memories are chosen at random, the maximum asympotic value ofmin order that most of themoriginal memories are exactly recoverable isn/(2 log n). With the added restriction that every one of themfundamental memories be recoverable exactly,mcan be no more thann/(4 log n)asymptotically asnapproaches infinity. Extensions are also considered, in particular to capacity under quantization of the outer-product connection matrix. This quantized memory capacity problem is closely related to the capacity of the quantized Gaussian channel.