On the asymptotic information storage capacity of neural networks
Neural Computers
Modeling brain function—the world of attractor neural networks
Modeling brain function—the world of attractor neural networks
Sparse coding in the primate cortex
The handbook of brain theory and neural networks
Neural Assemblies, an Alternative Approach to Artificial Intelligence
Neural Assemblies, an Alternative Approach to Artificial Intelligence
Mixed Mode VLSI Implementation of a Neural Associative Memory
Analog Integrated Circuits and Signal Processing
Dictionary learning algorithms for sparse representation
Neural Computation
Mixed Mode VLSI Implementation of a Neural Associative Memory
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Neural Computation
Non-negative Matrix Factorization with Sparseness Constraints
The Journal of Machine Learning Research
Confabulation Theory: The Mechanism of Thought
Confabulation Theory: The Mechanism of Thought
Towards cortex sized artificial neural systems
Neural Networks
Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements
IEEE Transactions on Computers
On the information storage capacity of local learning rules
Neural Computation
Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer
IBM Journal of Research and Development
Sparse coding via thresholding and local competition in neural circuits
Neural Computation
Associative holographic memories
IBM Journal of Research and Development
Comparing measures of sparsity
IEEE Transactions on Information Theory
Memory capacities for synaptic and structural plasticity
Neural Computation
Role of homeostasis in learning sparse representations
Neural Computation
Neural associative memory with optimal bayesian learning
Neural Computation
SpiNNaker: Design and Implementation of a GALS Multicore System-on-Chip
ACM Journal on Emerging Technologies in Computing Systems (JETC)
An associative cortical model of language understanding and action planning
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Synaptic plasticity in spiking neural networks (SP2INN): a system approach
IEEE Transactions on Neural Networks
On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing
IEEE Transactions on Neural Networks
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The theoretical, practical and technical development of neural associative memories during the last 40 years is described. The importance of sparse coding of associative memory patterns is pointed out. The use of associative memory networks for large scale brain modeling is also mentioned.