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A cognitive and associative memory
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4613-0411-1_12openalex-snapshot
The Existence of Persistent States in the Brain
inferredcites →https://doi.org/10.1007/978-3-642-46466-9openalex-snapshot
Competition and Cooperation in Neural Nets
inferredcites →https://doi.org/10.1007/978-3-642-46466-9_1openalex-snapshot
Competitive and Cooperative Aspects in Dynamics of Neural Excitation and Self-Organization
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00318428openalex-snapshot
Associative recognition and storage in a model network of physiological neurons
inferredcites →https://doi.org/10.1007/bf00337157openalex-snapshot
A hierarchical neural network model for associative memory
inferredcites →https://doi.org/10.1007/bf00363973openalex-snapshot
A neural network model for selective attention in visual pattern recognition
inferredcites →https://doi.org/10.1007/bf00365229openalex-snapshot
Neural theory of association and concept-formation
inferredcites →https://doi.org/10.1007/bf01020645openalex-snapshot
A biologically constrained learning mechanism in networks of formal neurons
inferredcites →https://doi.org/10.1007/bf01304440openalex-snapshot
Learning and pattern recognition in spin glass models
inferredcites →https://doi.org/10.1007/bf01323440openalex-snapshot
Learning and pattern recognition in spin glass models
inferredcites →https://doi.org/10.1016/0022-5193(61)90046-7openalex-snapshot
Outline of a theory of thought-processes and thinking machines
inferredcites →https://doi.org/10.1016/0025-5564(72)90075-2openalex-snapshot
A simple neural network generating an interactive memory
inferredcites →https://doi.org/10.1016/0025-5564(74)90031-5openalex-snapshot
The existence of persistent states in the brain
inferredcites →https://doi.org/10.1016/0025-5564(78)90058-5openalex-snapshot
Analytic study of the memory storage capacity of a neural network
inferredcites →https://doi.org/10.1016/b978-0-12-460350-9.50043-6openalex-snapshot
A Possible Organization of Animal Memory and Learning11This work was supported in part by the US National Science Foundation.
inferredcites →https://doi.org/10.1016/s0006-3495(72)86068-5openalex-snapshot
Excitatory and Inhibitory Interactions in Localized Populations of Model Neurons
inferredcites →https://doi.org/10.1038/304158a0openalex-snapshot
‘Unlearning’ has a stabilizing effect in collective memories
inferredcites →https://doi.org/10.1051/jphys:0198600470110185700openalex-snapshot
The ultrametric organization of memories in a neural network
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1073/pnas.81.10.3088openalex-snapshot
Neurons with graded response have collective computational properties like those of two-state neurons.
inferredcites →https://doi.org/10.1073/pnas.83.6.1695openalex-snapshot
Spin glass model of learning by selection.
inferredcites →https://doi.org/10.1088/0022-3719/18/31/008openalex-snapshot
'Ordered' spin glass: a hierarchical memory machine
inferredcites →https://doi.org/10.1103/physrevlett.55.1530openalex-snapshot
Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks
inferredcites →https://doi.org/10.1109/proc.1971.8087openalex-snapshot
Characteristics of randomly connected threshold-element networks and network systems
inferredcites →https://doi.org/10.1109/tsmc.1972.4309133openalex-snapshot
Associatron-A Model of Associative Memory
inferredcites →https://doi.org/10.1109/tsmc.1986.289283openalex-snapshot
Stochastic Dynamics of Neural Networks
inferredcites →https://doi.org/10.1143/ptp.75.1313openalex-snapshot
Statistical Properties of Neural Networks
inferredcites →https://doi.org/10.1143/ptp.78.51openalex-snapshot
Memory Dynamics in Asynchronous Neural Networks
inferredcites →https://doi.org/10.1176/ajp.135.8.1007-aopenalex-snapshot
The Understanding of the Brain, 2nd ed
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ecjc.10022openalex-snapshot
Signal recognition by input‐output correlation in associative neural networks
inferred← citeshttps://doi.org/10.1007/3540532676_53openalex-snapshot
Dynamics and storage capacity of neural networks with sign-constrained weights
inferred← citeshttps://doi.org/10.1007/978-1-4471-2063-6_4openalex-snapshot
Metastability of Network Attractor and Dream Sleep
inferred← citeshttps://doi.org/10.1007/978-1-4612-4536-0_5openalex-snapshot
A Memory with Cognitive Ability
inferred← citeshttps://doi.org/10.1007/978-94-015-9187-4_2openalex-snapshot
Fundamentals of Neural Networks
inferred← citeshttps://doi.org/10.1007/978-981-13-0080-6_11openalex-snapshot
Artificial Intelligence Applied to Multisensory Studies of Textile Products
inferred← citeshttps://doi.org/10.1007/bf00199545openalex-snapshot
The connectivity of the brain: multi-level quantitative analysis
inferred← citeshttps://doi.org/10.1007/bf00203235openalex-snapshot
A model of cortical memory processing based on columnar organization
inferred← citeshttps://doi.org/10.1007/bf00203633openalex-snapshot
A model for neuronal oscillations in the visual cortex
inferred← citeshttps://doi.org/10.1007/bf00206224openalex-snapshot
A neural network model of the cerebellar cortex performing dynamic associations
inferred← citeshttps://doi.org/10.1007/bf01025862openalex-snapshot
Stochastic analyses of the dynamics of generalized Little-Hopfield-Hemmen type neural networks
inferred← citeshttps://doi.org/10.1007/bf01437658openalex-snapshot
On learning and recognition of temporal sequences of correlated patterns
inferred← citeshttps://doi.org/10.1007/bf02458296openalex-snapshot
Dynamics and bifurcations of two coupled neural oscillators with different connection types
inferred← citeshttps://doi.org/10.1016/0375-9601(91)90082-jopenalex-snapshot
Neural networks with color neurons and hidden units: Hamiltonian and general properties
inferred← citeshttps://doi.org/10.1016/0378-4371(90)90344-ropenalex-snapshot
From statistical mechanics to neural networks and back
inferred← citeshttps://doi.org/10.1016/0893-6080(88)90022-6openalex-snapshot
Statistical neurodynamics of associative memory
inferred← citeshttps://doi.org/10.1016/0893-6080(92)90013-9openalex-snapshot
Learning networks for extrapolation and radar target identification
inferred← citeshttps://doi.org/10.1016/0893-6080(93)90014-nopenalex-snapshot
Capacity of associative memory using a nonmonotonic neuron model
inferred← citeshttps://doi.org/10.1016/0925-2312(90)90014-iopenalex-snapshot
Neurocomputing R&D in Japan
inferred← citeshttps://doi.org/10.1016/0925-2312(95)00046-1openalex-snapshot
Configuring interaction of memorized patterns with an asymmetric Hebbian rule for recurrent neural networks
inferred← citeshttps://doi.org/10.1016/0925-2312(95)00131-xopenalex-snapshot
A neural network with multi-neurons
inferred← citeshttps://doi.org/10.1016/s0893-6080(97)00061-0openalex-snapshot
Metastable associative network models of dream sleep
inferred← citeshttps://doi.org/10.1073/pnas.85.7.2141openalex-snapshot
Neural networks counting chimes.
inferred← citeshttps://doi.org/10.1073/pnas.86.20.7871openalex-snapshot
Associative memory neural network with low temporal spiking rates.
inferred← citeshttps://doi.org/10.1080/019697296126471openalex-snapshot
EFFECT OF SPATIAL FACILITATION ON NEURAL NETWORK EXCITABILITY
inferred← citeshttps://doi.org/10.1088/0305-4470/20/18/015openalex-snapshot
Memory maintenance in neural networks
inferred← citeshttps://doi.org/10.1088/0305-4470/21/14/016openalex-snapshot
Metastable states in asymmetrically diluted Hopfield networks
inferred← citeshttps://doi.org/10.1088/0305-4470/21/15/007openalex-snapshot
Neural networks: translation-, rotation- and scale-invariant pattern recognition
inferred← citeshttps://doi.org/10.1088/0305-4470/21/4/013openalex-snapshot
Neural networks with transparent memory
inferred← citeshttps://doi.org/10.1088/0305-4470/22/11/013openalex-snapshot
Pattern retrieval in an asymmetric neural network with embedded limit cycles
inferred← citeshttps://doi.org/10.1088/0305-4470/22/12/006openalex-snapshot
Retrieval properties of a neural network with an asymmetric learning rule
inferred← citeshttps://doi.org/10.1088/0305-4470/22/12/009openalex-snapshot
Perceptron learning with sign-constrained weights
inferred← citeshttps://doi.org/10.1088/0305-4470/22/12/020openalex-snapshot
Low firing rates: an effective Hamiltonian for excitatory neurons
inferred← citeshttps://doi.org/10.1088/0305-4470/23/2/020openalex-snapshot
Metastable states of neural networks incorporating the physiological Dale hypothesis
inferred← citeshttps://doi.org/10.1088/0305-4470/23/4/026openalex-snapshot
Selective pattern recall in neural networks by chemical modulation
inferred← citeshttps://doi.org/10.1088/0305-4470/24/2/008openalex-snapshot
On the storage capacity of neural networks with sign-constrained weights
inferred← citeshttps://doi.org/10.1088/0305-4470/25/8/033openalex-snapshot
Competitive attraction in neural networks with sign-constrained weights
inferred← citeshttps://doi.org/10.1088/0954-898x/1/1/008openalex-snapshot
Learning in neural network memories
inferred← citeshttps://doi.org/10.1088/0954-898x/1/2/005openalex-snapshot
Architecture of attractor neural networks performing cognitive fast scanning
inferred← citeshttps://doi.org/10.1088/0954-898x/5/4/002openalex-snapshot
Attractor neural networks with excitatory neurons and fast inhibitory interneurons at low spike rates
inferred← citeshttps://doi.org/10.1103/physreva.45.8938openalex-snapshot
Storage capacity of ‘‘quantum’’ neural networks
inferred← citeshttps://doi.org/10.1103/physreve.53.5146openalex-snapshot
Effects of refractory periods in the dynamics of a diluted neural network
inferred← citeshttps://doi.org/10.1103/physreve.76.051908openalex-snapshot
Reverberating activity in a neural network with distributed signal transmission delays
inferred← citeshttps://doi.org/10.1103/physreve.77.046214openalex-snapshot
Can distributed delays perfectly stabilize dynamical networks?
inferred← citeshttps://doi.org/10.1103/physrevlett.64.1465openalex-snapshot
Asymmetric neural networks incorporating the Dale hypothesis and noise-driven chaos
inferred← citeshttps://doi.org/10.1103/physrevx.6.031024openalex-snapshot
Correlated Fluctuations in Strongly Coupled Binary Networks Beyond Equilibrium
inferred← citeshttps://doi.org/10.1109/41.170966openalex-snapshot
Theory and applications of neural networks for industrial control systems
inferred← citeshttps://doi.org/10.1109/icnn.1993.298704openalex-snapshot
A new associative memory which inhibits a meaningless output
inferred← citeshttps://doi.org/10.1109/ijcnn.1992.227120openalex-snapshot
Structural properties of network attractor associated with neuronal dynamics transition
inferred← citeshttps://doi.org/10.1109/tcds.2023.3303653openalex-snapshot
Bioinspired Memristive Neural Network Circuit Design of Cross-Modal Associative Memory
inferred← citeshttps://doi.org/10.1111/joss.12201openalex-snapshot
Interpretation of Fabric Tactile Perceptions through Visual Features for Textile Products
inferred← citeshttps://doi.org/10.1143/jpsj.59.1529openalex-snapshot
Chaotic Image Retrieval in Markovian Asymmetric Neural Networks with Sign-Constrained Synaptic Couplings
inferred← citeshttps://doi.org/10.1162/089976698300017944openalex-snapshot
Fixed-Point Attractor Analysis for a Class of Neurodynamics
inferred← citeshttps://doi.org/10.1162/neco.1995.7.1.182openalex-snapshot
Compensatory Mechanisms in an Attractor Neural Network Model of Schizophrenia
inferred← citeshttps://doi.org/10.12737/5933openalex-snapshot
Ion-Molecular Memory Model. Memory Structure, its Bandwidth, the Switches and the Controllers of Information
inferred← citeshttps://doi.org/10.70675/f3a0270cz3894z4ff4za156z608bfa918d9eopenalex-snapshot
Learning and sampling complex landscapes with restricted Boltzmann machines : from theory to the fitness of the TEM-1 protein
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