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The theory of neural networks: The Hebb rule and beyond
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-82657-3openalex-snapshot
Disordered Systems and Biological Organization
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00317939openalex-snapshot
Collective properties of neural networks: A statistical physics approach
inferredcites →https://doi.org/10.1016/0025-5564(74)90031-5openalex-snapshot
The existence of persistent states in the brain
inferredcites →https://doi.org/10.1051/jphys:019860047090145700openalex-snapshot
Solvable models of working memories
inferredcites →https://doi.org/10.1051/jphyslet:019850046014062300openalex-snapshot
Scaling laws for the attractors of Hopfield networks
inferredcites →https://doi.org/10.1051/jphyslet:01985004608035900openalex-snapshot
Information storage and retrieval in spin-glass like neural networks
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.83.6.1695openalex-snapshot
Spin glass model of learning by selection.
inferredcites →https://doi.org/10.1103/physreva.34.2571openalex-snapshot
Neural networks with nonlinear synapses and a static noise
inferredcites →https://doi.org/10.1103/physreva.35.380openalex-snapshot
Associative recall of memory without errors
inferredcites →https://doi.org/10.1103/physreva.37.570openalex-snapshot
Neural networks with hierarchically correlated patterns
inferredcites →https://doi.org/10.1103/physrevb.17.4384openalex-snapshot
Infinite-ranged models of spin-glasses
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/tc.1973.5009138openalex-snapshot
Representation of Associated Data by Matrix Operators
inferredcites →https://doi.org/10.1209/0295-5075/2/4/012openalex-snapshot
Saturation Level of the Hopfield Model for Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Statistical mechanics for networks of analog neurons
inferred← citeshttps://doi.org/10.1007/978-3-642-79814-6_1openalex-snapshot
Collective Phenomena in Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-79814-6_6openalex-snapshot
Asymmetrically Diluted Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-84301-3_11openalex-snapshot
Correlated Activity of Neurons: A Neural Code for Higher Brain Functions?
inferred← citeshttps://doi.org/10.1007/978-3-642-97171-6_1openalex-snapshot
Collective Phenomena in Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-97171-6_6openalex-snapshot
Asymmetrically Diluted Neural Networks
inferred← citeshttps://doi.org/10.1007/978-981-99-8126-7_18openalex-snapshot
Reward-Dependent and Locally Modulated Hebbian Rule
inferred← citeshttps://doi.org/10.1007/bf01041070openalex-snapshot
Information processing in three-state neural networks
inferred← citeshttps://doi.org/10.1007/s10489-011-0299-7openalex-snapshot
Nonlinear quantization on Hebbian-type associative memories
inferred← citeshttps://doi.org/10.1007/s11571-009-9083-3openalex-snapshot
Are binary synapses superior to graded weight representations in stochastic attractor networks?
inferred← citeshttps://doi.org/10.1016/0166-3615(92)90124-6openalex-snapshot
Neural network model for design retrieval in manufacturing systems
inferred← citeshttps://doi.org/10.1016/0893-6080(94)90020-5openalex-snapshot
Universality of unlearning
inferred← citeshttps://doi.org/10.1016/b978-0-444-88035-2.50005-5openalex-snapshot
INTRODUCTION TO NEURAL NETWORKS
inferred← citeshttps://doi.org/10.1016/b978-0-444-89488-5.50108-1openalex-snapshot
VARIABILITY IN THE PATHOGENESIS OF ALZHEIMER DISEASE: ANALYTICAL RESULTS
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Computational Models of Hippocampal Functions
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On pattern separation in the primate, including human, hippocampus
inferred← citeshttps://doi.org/10.1016/s0378-4371(97)00689-4openalex-snapshot
Categorization in a layered neural network
inferred← citeshttps://doi.org/10.1016/s0925-2312(01)00571-9openalex-snapshot
Long term memory: Encoding and storing strategies of the brain
inferred← citeshttps://doi.org/10.1016/s1874-5946(98)80073-4openalex-snapshot
Reliability issue and quantization effects in optical and electronic network implementations of hebbian-type associative memories
inferred← citeshttps://doi.org/10.1038/srep35273openalex-snapshot
Long-Term Homeostatic Properties Complementary to Hebbian Rules in CuPc-Based Multifunctional Memristor
inferred← citeshttps://doi.org/10.1080/09540090902954188openalex-snapshot
Variable binding by synaptic strength change
inferred← citeshttps://doi.org/10.1088/0305-4470/20/18/051openalex-snapshot
Non-linear neural networks with external noise
inferred← citeshttps://doi.org/10.1088/0305-4470/23/12/035openalex-snapshot
Storage capacity of a diluted neural network with Ising couplings
inferred← citeshttps://doi.org/10.1088/0305-4470/26/9/009openalex-snapshot
A memory which tentatively forgets
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/10/3/303openalex-snapshot
Associative memory properties of multiple cortical modules
inferred← citeshttps://doi.org/10.1088/0954-898x/3/2/005openalex-snapshot
Study of a learning algorithm for neural networks with discrete synaptic couplings
inferred← citeshttps://doi.org/10.1088/0954-898x/9/2/003openalex-snapshot
Learning attractors in an asynchronous, stochastic electronic neural network
inferred← citeshttps://doi.org/10.1088/0954-898x/9/4/011openalex-snapshot
Neuronal regulation versus synaptic unlearning in memory maintenance mechanisms
inferred← citeshttps://doi.org/10.1088/0954-898x_3_4_008openalex-snapshot
Constraints on learning in dynamic synapses
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Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.001.0001openalex-snapshot
Brain Computations and Connectivity
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0002openalex-snapshot
The ventral visual system
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0003openalex-snapshot
The dorsal visual system
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0004openalex-snapshot
The taste and flavor system
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0005openalex-snapshot
The olfactory system
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0006openalex-snapshot
The somatosensory system
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0007openalex-snapshot
The auditory system
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0008openalex-snapshot
The temporal cortex
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0009openalex-snapshot
The hippocampus, memory, and spatial function
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0010openalex-snapshot
The parietal cortex, spatial functions, and navigation
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0011openalex-snapshot
The orbitofrontal cortex, amygdala, reward value, emotion, and decision-making
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0012openalex-snapshot
The cingulate cortex
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0013openalex-snapshot
The prefrontal cortex
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0014openalex-snapshot
Language and syntax in the brain
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0015openalex-snapshot
The motor cortical areas
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0018openalex-snapshot
Cortical attractor dynamics and connectivity, stochasticity, psychiatric disorders, and aging
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.003.0019openalex-snapshot
Computations by different types of brain, and by artificial neural systems
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.005.0001openalex-snapshot
Introduction to linear algebra for neural networks
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.005.0002openalex-snapshot
Neuronal network models
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.005.0003openalex-snapshot
Neuronal encoding, and information theory
inferred← citeshttps://doi.org/10.1093/oso/9780198887911.005.0004openalex-snapshot
Simulation software for neuronal networks, and information analysis of neuronal encoding
inferred← citeshttps://doi.org/10.1103/physreve.105.054408openalex-snapshot
Storage capacity of networks with discrete synapses and sparsely encoded memories
inferred← citeshttps://doi.org/10.1109/72.165598openalex-snapshot
Characteristics of Hebbian-type associative memories having faulty interconnections
inferred← citeshttps://doi.org/10.1109/72.363471openalex-snapshot
Reliability characteristics of quadratic Hebbian-type associative memories in optical and electronic network implementations
inferred← citeshttps://doi.org/10.1109/icnn.1993.298756openalex-snapshot
Quantization effects of Hebbian-type associative memories
inferred← citeshttps://doi.org/10.1109/icnn.1994.374335openalex-snapshot
Linear quantization of Hebbian-type associative memories in interconnection implementations
inferred← citeshttps://doi.org/10.1109/icnnb.2005.1614766openalex-snapshot
The Two-level Quantization Strategy of Quadratic Hebbian-type Associative Memories
inferred← citeshttps://doi.org/10.1109/tnn.2004.832711openalex-snapshot
Storage Capacity Diverges With Synaptic Efficiency in an Associative Memory Model With Synaptic Delay and Pruning
inferred← citeshttps://doi.org/10.1140/epjb/e2006-00016-2openalex-snapshot
The random replicator model at nonzero temperature
inferred← citeshttps://doi.org/10.1140/epjp/s13360-020-00894-8openalex-snapshot
Tolerance versus synaptic noise in dense associative memories
inferred← citeshttps://doi.org/10.1155/2023/7037124openalex-snapshot
An Extension Network of Dendritic Neurons
inferred← citeshttps://doi.org/10.1162/089976600300015628openalex-snapshot
Retrieval Properties of a Hopfield Model with Random Asymmetric Interactions
inferred← citeshttps://doi.org/10.1162/0899766042321805openalex-snapshot
Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories
inferred← citeshttps://doi.org/10.1162/0899766054615644openalex-snapshot
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses
inferred← citeshttps://doi.org/10.1162/089976698300017863openalex-snapshot
Memory Maintenance via Neuronal Regulation
inferred← citeshttps://doi.org/10.1162/089976699300016278openalex-snapshot
Backward Projections in the Cerebral Cortex: Implications for Memory Storage
inferred← citeshttps://doi.org/10.1162/neco_a_00785openalex-snapshot
Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States
inferred← citeshttps://doi.org/10.1162/neco_a_01638openalex-snapshot
Vector Symbolic Finite State Machines in Attractor Neural Networks
inferred← citeshttps://doi.org/10.1177/109434208800200406openalex-snapshot
Statistical Mechanics of Neural Computation
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011354openalex-snapshot
Attractor neural networks with double well synapses
inferred← citeshttps://doi.org/10.21311/002.31.10.11openalex-snapshot
Research on Fast Evaluation Algorithm Based on Hopfield Neural Network
inferred← citeshttps://doi.org/10.3390/cimb44020056openalex-snapshot
Adaptive Neural Network Structure Optimization Algorithm Based on Dynamic Nodes
inferred← citeshttps://doi.org/10.3390/e23081034openalex-snapshot
External Stimuli on Neural Networks: Analytical and Numerical Approaches
inferred← citeshttps://doi.org/10.7566/jpsj.90.094602openalex-snapshot
Analysis of the Hopfield Model with Discrete Coupling
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