AIMC Topic: Memory

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Associative memory realized by a reconfigurable memristive Hopfield neural network.

Nature communications Jun 25, 2015
Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on the basis of a memristive Hopfield...
Computer Simulation Animals Pattern Recognition, Automated Central Nervous System Memory Association Learning Neural Networks, Computer Algorithms
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Dynamic role of adult-born dentate granule cells in memory processing.

Current opinion in neurobiology Jun 19, 2015
Throughout the adult life of all mammals including humans, new neurons are incorporated to the dentate gyrus of the hippocampus. During a critical window that lasts about two weeks, adult-born immature neurons are more excitable and plastic than matu...
Adult Animals Neurons Humans Neural Networks, Computer Dentate Gyrus Nerve Net Memory Neurogenesis
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Set selection dynamical system neural networks with partial memories, with applications to Sudoku and KenKen puzzles.

Neural networks : the official journal of the International Neural Network Society Apr 30, 2015
After reviewing set selection and memory model dynamical system neural networks, we introduce a neural network model that combines set selection with partial memories (stored memories on subsets of states in the network). We establish that feasible e...
Games, Experimental Neural Networks, Computer Memory
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Memory dynamics in attractor networks.

Computational intelligence and neuroscience Apr 19, 2015
As can be represented by neurons and their synaptic connections, attractor networks are widely believed to underlie biological memory systems and have been used extensively in recent years to model the storage and retrieval process of memory. In this...
Computer Simulation Neurons Animals Nonlinear Dynamics Humans Memory Models, Neurological Neural Networks, Computer
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Experimental demonstration of a second-order memristor and its ability to biorealistically implement synaptic plasticity.

Nano letters Mar 2, 2015
Memristors have been extensively studied for data storage and low-power computation applications. In this study, we show that memristors offer more than simple resistance change. Specifically, the dynamic evolutions of internal state variables allow ...
Humans Neural Networks, Computer Biomimetic Materials Nerve Net Memory Equipment Failure Analysis Computer Storage Devices Synaptic Transmission Action Potentials Equipment Design Electric Impedance Animals Computer-Aided Design Neuronal Plasticity
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Universal Memcomputing Machines.

IEEE transactions on neural networks and learning systems Feb 3, 2015
We introduce the notion of universal memcomputing machines (UMMs): a class of brain-inspired general-purpose computing machines based on systems with memory, whereby processing and storing of information occur on the same physical location. We analyt...
Neural Networks, Computer Computer Simulation Computer Systems Memory Humans
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Discrimination of schizophrenia auditory hallucinators by machine learning of resting-state functional MRI.

International journal of neural systems Jan 19, 2015
Auditory hallucinations (AH) are a symptom that is most often associated with schizophrenia, but patients with other neuropsychiatric conditions, and even a small percentage of healthy individuals, may also experience AH. Elucidating the neural mecha...
Hallucinations Temporal Lobe Male Schizophrenic Psychology Prefrontal Cortex Frontal Lobe Magnetic Resonance Imaging Humans Female Machine Learning Adult Brain Rest Brain Mapping Neural Pathways Schizophrenia Memory Hippocampus
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Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays.

IEEE transactions on neural networks and learning systems Nov 13, 2014
This paper presents a new design scheme for the passivity and passification of a class of memristor-based recurrent neural networks (MRNNs) with additive time-varying delays. The predictable assumptions on the boundedness and Lipschitz continuity of ...
Memory Models, Neurological Reaction Time Neurons Humans Neural Networks, Computer Algorithms Time Factors
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Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays.

IEEE transactions on neural networks and learning systems Nov 7, 2014
In this paper, adaptive synchronization of memristor-based neural networks (MNNs) with time-varying delays is investigated. The dynamical analysis here employs results from the theory of differential equations with discontinuous right-hand sides as i...
Humans Neurons Neural Networks, Computer Nonlinear Dynamics Memory Algorithms Computer Simulation Time Factors
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Phase Oscillatory Network and Visual Pattern Recognition.

IEEE transactions on neural networks and learning systems Aug 15, 2014
We explore a properly interconnected set of Kuramoto type oscillators that results in a new associative-memory network configuration, which includes second- and third-order additional terms in the Fourier expansion of the network's coupling. Investig...
Neural Networks, Computer Algorithms Memory Information Storage and Retrieval Fourier Analysis Pattern Recognition, Automated Electronic Data Processing Reproducibility of Results Color
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