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Feedback neural networks: new characteristics and a generalization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Speech and Brain-Mechanisms.
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Probability Inequalities for sums of Bounded Random Variables
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The Science of Fractal Images
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Rigorous and extended application of information theory to the afferent visual system of the cat. I. Basic concepts
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Rigorous and extended application of information theory to the afferent visual system of the cat
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Neural theory of association and concept-formation
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State generators and complex neural memories
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Brain mechanisms and learning
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Self indexing of neural memories
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Introduction to Theoretical Neurobiology
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Bicameral neural network where information can be indexed
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Neural networks and physical systems with emergent collective computational abilities.
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Probability Inequalities for Sums of Bounded Random Variables
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Threshold Detection Error Bounds
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Feature based retrieval in neural networks
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Receptive fields and functional architecture of monkey striate cortex
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Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information theoretic analysis
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Speech and Brain‐Mechanisms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Hidden Order and the Origin of Complex Structures
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Mapping combinatorial optimization problems onto neural networks
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On quantum neural computing
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The polynomial neural network
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Quantum Neural Computing
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Additional complex conjugate feedback-induced explosive death and multistabilities
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Feedback as a mechanism for the resurrection of oscillations from death states
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Resumption of dynamism in damaged networks of coupled oscillators
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Large-Scale Feedforward Neural Network Optimization by a Self-Adaptive Strategy and Parameter Based Particle Swarm Optimization
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An application of intelligent neural network to time series business fluctuation prediction
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Second Order Neural Networks.
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Modular Approaches for Designing Feedforward Neural Networks to Solve Classification Problems.
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A Theory of Cortical Neural Processing.
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Binary Random Sequences Obtained From Decimal Sequences
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Memory Retrieved from Single Neurons
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Single Neuron Memories and the Network's Proximity Matrix
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Another Look at Quantum Neural Computing
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Location of Single Neuron Memories in a Hebbian Network
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Active Sites model for the B-Matrix Approach
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Delta Learning Rule for the Active Sites Model
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Degree of Separation in Social Networks
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Memory Retrieval in the B-Matrix Neural Network
inferred← citeshttps://doi.org/10.48550/arxiv.1103.5081openalex-snapshot
Using Variable Threshold to Increase Capacity in a Feedback Neural Network
inferred← citeshttps://doi.org/10.48550/arxiv.1210.6082openalex-snapshot
Interplay: Dispersed Activation in Neural Networks
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Memory Capacity of a Random Neural Network
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Neural Network Capacity for Multilevel Inputs
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Memory Capacity of Neural Networks using a Circulant Weight Matrix
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User Profile Relationships using String Similarity Metrics in Social Networks
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Efficiency of Matrix Multiplication on the Cross-Wired Mesh Array
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Friendship Paradox and Attention Economics
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A Class of Random Sequences for Key Generation
inferred← citeshttps://doi.org/10.48550/arxiv.1506.03377openalex-snapshot
Connectivity in Social Networks
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Order Effects for Queries in Intelligent Systems
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Solvable collective dynamics of globally coupled Stuart-Landau limit-cycle systems under mean-field feedback
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