On the public citation graph
Neural theory of association and concept-formation
0 signed · 494 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00270573openalex-snapshot
A neuron model with learning capability and its relation to mechanisms of association
inferredcites →https://doi.org/10.1007/bf00274806openalex-snapshot
A method of statistical neurodynamics
inferredcites →https://doi.org/10.1007/bf00288907openalex-snapshot
Self-organization of orientation sensitive cells in the striate cortex
inferredcites →https://doi.org/10.1007/bf00326691openalex-snapshot
Correlation memory models — a first approximation in a general learning scheme
inferredcites →https://doi.org/10.1007/bf00337259openalex-snapshot
Dynamics of pattern formation in lateral-inhibition type neural fields
inferredcites →https://doi.org/10.1007/bf00339367openalex-snapshot
Homogeneous nets of neuron-like elements
inferredcites →https://doi.org/10.1007/bf01259390openalex-snapshot
Fast adaptive formation of orthogonalizing filters and associative memory in recurrent networks of neuron-like elements
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(69)90015-7openalex-snapshot
On learning, information, lateral inhibition, and transmitters
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/b978-0-12-491850-4.50008-8openalex-snapshot
A Mathematical Approach to Neural Systems
inferredcites →https://doi.org/10.1016/b978-0-12-564350-4.50025-7openalex-snapshot
OCCAM: A COMPUTER MODEL FOR A CONTENT ADDRESSABLE MEMORY IN THE CENTRAL NERVOUS SYSTEM
inferredcites →https://doi.org/10.1016/s0019-9958(74)80007-0openalex-snapshot
Machine Intelligence. Vol. 7.
inferredcites →https://doi.org/10.1016/s0076-5392(08)x6167-3openalex-snapshot
Regression and the Moore-Penrose Pseudoinverse
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/t-c.1972.223477openalex-snapshot
Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements
inferredcites →https://doi.org/10.1109/t-c.1974.223960openalex-snapshot
An Adaptive Associative Memory Principle
inferredcites →https://doi.org/10.1109/tsmc.1972.4309133openalex-snapshot
Associatron-A Model of Associative Memory
inferredcites →https://doi.org/10.1109/tsmc.1972.4309193openalex-snapshot
Characteristics of Random nets of analog neuron-like elements
inferredcites →https://doi.org/10.1137/0133008openalex-snapshot
A Mathematical Foundation for Statistical Neurodynamics
inferredcites →https://doi.org/10.1525/9780520313880-007openalex-snapshot
ON STOCHASTIC APPROXIMATION
inferredcites →https://doi.org/10.2307/2285416openalex-snapshot
Regression and the Moore-Penrose Pseudoinverse.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/(sici)1520-684x(199705)28:5<68::aid-scj8>3.0.co;2-mopenalex-snapshot
A geometrical analysis of the dynamics of associative memory
inferred← citeshttps://doi.org/10.1002/0470845899openalex-snapshot
Adaptive Blind Signal and Image Processing
inferred← citeshttps://doi.org/10.1002/1097-0142(20010415)91:8+<1615::aid-cncr1175>3.0.co;2-lopenalex-snapshot
Artificial neural networks
inferred← citeshttps://doi.org/10.1002/9780471740360.ebs1023openalex-snapshot
Neural Networks: Applications in Biomedical Engineering
inferred← citeshttps://doi.org/10.1002/ange.19931050405openalex-snapshot
Neuronale Netze in der Chemie
inferred← citeshttps://doi.org/10.1002/cben.202000027openalex-snapshot
A Review on Data‐Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes
inferred← citeshttps://doi.org/10.1002/ecja.4410680104openalex-snapshot
An associative memory model based on adaptive feature‐detecting cells
inferred← citeshttps://doi.org/10.1002/ecjc.4430741011openalex-snapshot
Some properties of sequential‐association type neural networks
inferred← citeshttps://doi.org/10.1002/int.4550100107openalex-snapshot
Chaos in the brain: Possible roles in biological intelligence
inferred← citeshttps://doi.org/10.1002/scj.4690230105openalex-snapshot
A neural network model of competitive learning which converges to the global equilibrium
inferred← citeshttps://doi.org/10.1002/syn.890050103openalex-snapshot
Associative synaptic potentiation and depression: Quantification of dissociable modifications in the hippocampal dentate gyrus favors a particular class of synaptic modification equations
inferred← citeshttps://doi.org/10.1006/jmva.2000.1936openalex-snapshot
A Class of Robust Principal Component Vectors
inferred← citeshttps://doi.org/10.1006/jpdc.1999.1602openalex-snapshot
A System for Evaluating Performance and Cost of SIMD Array Designs
inferred← citeshttps://doi.org/10.1007/0-387-28487-7_6openalex-snapshot
FPGA Implementation of Very Large Associative Memories
inferred← citeshttps://doi.org/10.1007/11840817_71openalex-snapshot
Adaptive Thresholds for Layered Neural Networks with Synaptic Noise
inferred← citeshttps://doi.org/10.1007/3-540-18099-0_27openalex-snapshot
Parallel in sequence — Towards the architecture of an elementary cortical processor
inferred← citeshttps://doi.org/10.1007/3-540-63508-4_128openalex-snapshot
Static and dynamic attractors of autoassociative neural networks
inferred← citeshttps://doi.org/10.1007/3540532676_40openalex-snapshot
Adaptive recurrent neural networks and dynamic stability
inferred← citeshttps://doi.org/10.1007/978-0-85729-868-3_8openalex-snapshot
Learning in Artificial Neural Networks
inferred← citeshttps://doi.org/10.1007/978-1-4471-2001-8_5openalex-snapshot
Deterministic Networks with Ternary Neurons
inferred← citeshttps://doi.org/10.1007/978-1-4471-5185-2_3openalex-snapshot
Artificial Neural Networks
inferred← citeshttps://doi.org/10.1007/978-1-4612-4536-0_2openalex-snapshot
Dynamical Stability of Formation of Cortical Maps
inferred← citeshttps://doi.org/10.1007/978-1-4612-4536-0_5openalex-snapshot
A Memory with Cognitive Ability
inferred← citeshttps://doi.org/10.1007/978-1-4613-3533-7_1openalex-snapshot
Electron Microscopic in Cellular and Molecular Biology
inferred← citeshttps://doi.org/10.1007/978-1-4613-3533-7_2openalex-snapshot
Chloroplast Protein Synthesis: Principles and Problems
inferred← citeshttps://doi.org/10.1007/978-1-4613-3533-7_3openalex-snapshot
Thesaurisomes, A Novel Kind of Nucleoprotein Particle
inferred← citeshttps://doi.org/10.1007/978-1-4613-3533-7_4openalex-snapshot
Platelet Phospholipid Asymmetry and its Significance in Hemostasis
inferred← citeshttps://doi.org/10.1007/978-1-4613-3533-7_5openalex-snapshot
The Diversity of Function and Structure of Cellular Membranes
inferred← citeshttps://doi.org/10.1007/978-1-4613-9217-0_2openalex-snapshot
Naturally Occurring Insecticidal Molecules as Candidates for Genetic Engineering
inferred← citeshttps://doi.org/10.1007/978-1-4613-9217-0_3openalex-snapshot
Genetic Engineering of Baculoviruses for Insect Control
inferred← citeshttps://doi.org/10.1007/978-1-4614-0724-9_9openalex-snapshot
Solving Complex Control Tasks via Simple Rule(s): Using Chaotic Dynamics in a Recurrent Neural Network Model
inferred← citeshttps://doi.org/10.1007/978-1-4615-3778-6_12openalex-snapshot
Neural Learning Algorithms and Their Applications in Robotics
inferred← citeshttps://doi.org/10.1007/978-1-4757-1281-0_10openalex-snapshot
Predictions on Neocortical Dynamics Derived from Studies in Paleocortex
inferred← citeshttps://doi.org/10.1007/978-3-030-61616-8_16openalex-snapshot
Hopfield Networks for Vector Quantization
inferred← citeshttps://doi.org/10.1007/978-3-031-00311-0_5openalex-snapshot
Cognitive Mental Processes Realized by Cell Assemblies in the Cortex
inferred← citeshttps://doi.org/10.1007/978-3-031-20748-8_19openalex-snapshot
Dynamic, Interactive Trees and Icon Arrays for Visualizing Risks in Civic Statistics
inferred← citeshttps://doi.org/10.1007/978-3-319-18914-7_10openalex-snapshot
Trajectories-State: A New Neural Mechanism to Interpretate Cerebral Dynamics
inferred← citeshttps://doi.org/10.1007/978-3-319-28495-8_1openalex-snapshot
Artificial Neural Network Modelling: An Introduction
inferred← citeshttps://doi.org/10.1007/978-3-540-27862-7_7openalex-snapshot
A Complex Systems Approach to an Interpretation of Dynamic Brain Activity II: Does Cantor Coding Provide a Dynamic Model for the Formation of Episodic Memory?
inferred← citeshttps://doi.org/10.1007/978-3-540-69158-7_21openalex-snapshot
A Generalised Entropy Based Associative Model
inferred← citeshttps://doi.org/10.1007/978-3-540-69162-4_22openalex-snapshot
Symbolic Memory of Motion Patterns by an Associative Memory Dynamics with Self-organizing Nonmonotonicity
inferred← citeshttps://doi.org/10.1007/978-3-540-73267-9_14openalex-snapshot
Giving Meaning to Cycles to Go Beyond the Limitations of Fixed Point Attractors
inferred← citeshttps://doi.org/10.1007/978-3-642-46466-9_1openalex-snapshot
Competitive and Cooperative Aspects in Dynamics of Neural Excitation and Self-Organization
inferred← citeshttps://doi.org/10.1007/978-3-642-46466-9_25openalex-snapshot
Dynamic and Plastic Properties of the Brain Stem Neuronal Networks as the Possible Neuronal Basis of Learning and Memory
inferred← citeshttps://doi.org/10.1007/978-3-642-69540-7_22openalex-snapshot
Local Synaptic Modification Can Lead to Organized Connectivity Patterns in Associative Memory
inferred← citeshttps://doi.org/10.1007/978-3-642-70911-1_8openalex-snapshot
Tensor Network Theory of the Central Nervous System and Sensorimotor Modeling
inferred← citeshttps://doi.org/10.1007/978-3-642-74119-7_6openalex-snapshot
Associative Memory and Its Statistical Neurodynamical Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-74554-6_62openalex-snapshot
Statistical Neurodynamics — Associative Memory and Self-Organization
inferred← citeshttps://doi.org/10.1007/978-3-642-75182-0_20openalex-snapshot
Grundlagenforschung und Softwareentwicklung im Siemensprojekt “Neurodemonstrator“
inferred← citeshttps://doi.org/10.1007/978-3-642-82657-3_17openalex-snapshot
Collective Properties of Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-662-07896-9_19openalex-snapshot
Strategies for Learning Elementary Mobile Robot Operations
inferred← citeshttps://doi.org/10.1007/978-3-7091-6867-7_5openalex-snapshot
Associative memory for images by recurrent neural subnetworks
inferred← citeshttps://doi.org/10.1007/978-3-7908-1858-1_7openalex-snapshot
Image Compression Using Pixel Neural Networks
inferred← citeshttps://doi.org/10.1007/978-94-007-4792-0_5openalex-snapshot
Mathematical Theory of Neural Networks: A Personal and Historical Survey
inferred← citeshttps://doi.org/10.1007/978-94-009-0643-3_115openalex-snapshot
Memory of Correlated Patterns by Associative Neural Networks with Improved Dynamics
inferred← citeshttps://doi.org/10.1007/978-94-009-2975-3_1openalex-snapshot
Mathematical Methods of Neurodynamics and Self-Organization
inferred← citeshttps://doi.org/10.1007/978-94-011-1122-5_2openalex-snapshot
Neural Networks and Their Applications
inferred← citeshttps://doi.org/10.1007/978-981-16-7570-6_8openalex-snapshot
Statistical Mechanical Theory of Hopfield Model
inferred← citeshttps://doi.org/10.1007/bf00195861openalex-snapshot
Analysis of the two-dimensional receptive fields learned by the Generalized Hebbian Algorithm in response to random input
inferred← citeshttps://doi.org/10.1007/bf00198098openalex-snapshot
A real time learning algorithm for recurrent analog neural networks
inferred← citeshttps://doi.org/10.1007/bf00198099openalex-snapshot
A model of orthogonal auto-associative networks
inferred← citeshttps://doi.org/10.1007/bf00203029openalex-snapshot
Information storage matrices in neural networks
inferred← citeshttps://doi.org/10.1007/bf00317939openalex-snapshot
Collective properties of neural networks: A statistical physics approach
inferred← citeshttps://doi.org/10.1007/bf00318008openalex-snapshot
Coordinates transformation and learning control for visually-guided voluntary movement with iteration: A Newton-like method in a function space
inferred← citeshttps://doi.org/10.1007/bf00320388openalex-snapshot
A neural network model for cognitive activity
inferred← citeshttps://doi.org/10.1007/bf00335152openalex-snapshot
Landmark learning: An illustration of associative search
inferred← citeshttps://doi.org/10.1007/bf00336182openalex-snapshot
Stabilization of Hebbian neural nets by inhibitory learning
inferred← citeshttps://doi.org/10.1007/bf00336192openalex-snapshot
Adaptive filter model of the cerebellum
inferred← citeshttps://doi.org/10.1007/bf00336991openalex-snapshot
Linear function neurons: Structure and training
inferred← citeshttps://doi.org/10.1007/bf00337284openalex-snapshot
Rules of forming receptive fields of formal neurons during unsupervised learning processes
inferred← citeshttps://doi.org/10.1007/bf00337348openalex-snapshot
Mathematical theory on formation of category detecting nerve cells
inferred← citeshttps://doi.org/10.1007/bf00337365openalex-snapshot
Learning processes in multilayer threshold nets
inferred← citeshttps://doi.org/10.1007/bf00337432openalex-snapshot
Formation of topographic maps and columnar microstructures in nerve fields
inferred← citeshttps://doi.org/10.1007/bf00346141openalex-snapshot
Parallel processing for associative and neuronal networks
inferred← citeshttps://doi.org/10.1007/bf00347636openalex-snapshot
Comparison of two unsupervised learning algorithms
inferred← citeshttps://doi.org/10.1007/bf00364149openalex-snapshot
A hierarchical neural-network model for control and learning of voluntary movement
inferred← citeshttps://doi.org/10.1007/bf00364151openalex-snapshot
A cognitive and associative memory
inferred← citeshttps://doi.org/10.1007/bf00387211openalex-snapshot
A neural model for category learning
inferred← citeshttps://doi.org/10.1007/bf00420282openalex-snapshot
Robust image association by recurrent neural subnetworks
inferred← citeshttps://doi.org/10.1007/bf00439421openalex-snapshot
Learning algorithms for neural networks with the Kalman filters
inferred← citeshttps://doi.org/10.1007/bf00453370openalex-snapshot
Associative search network: A reinforcement learning associative memory
inferred← citeshttps://doi.org/10.1007/bf01189877openalex-snapshot
Feedback neural networks: new characteristics and a generalization
inferred← citeshttps://doi.org/10.1007/bf02460791openalex-snapshot
Topographic organization of nerve fields
inferred← citeshttps://doi.org/10.1007/bf02995678openalex-snapshot
Connexionnisme, calcul, reconnaissance des formes et intelligence artificielle
inferred← citeshttps://doi.org/10.1007/bf03037088openalex-snapshot
Mathematical theory of neural learning
inferred← citeshttps://doi.org/10.1007/bf03037297openalex-snapshot
Part 3: Brain science, information science and associative memory model
inferred← citeshttps://doi.org/10.1007/bf03167210openalex-snapshot
Neurodynamics and nonlinear integrable systems of Lax type
inferred← citeshttps://doi.org/10.1007/bfb0017867openalex-snapshot
Fractal basis functions for pattern recognition
inferred← citeshttps://doi.org/10.1007/s00422-010-0391-9openalex-snapshot
Analysis and design of asymmetric Hopfield networks with discrete-time dynamics
inferred← citeshttps://doi.org/10.1007/s00422-013-0555-5openalex-snapshot
A review of cell assemblies
inferred← citeshttps://doi.org/10.1007/s00422-021-00898-2openalex-snapshot
Global entrainment in the brain–body–environment: retrospective and prospective views
inferred← citeshttps://doi.org/10.1007/s004220050594openalex-snapshot
Visual channels, Hebbian assemblies and the effect of Hebb's rule
inferred← citeshttps://doi.org/10.1007/s004220100263openalex-snapshot
Mixed state on a sparsely encoded associative memory model
inferred← citeshttps://doi.org/10.1007/s00521-012-1308-4openalex-snapshot
Semantic propagation network with robust spatial context descriptors for multi-class object labeling
inferred← citeshttps://doi.org/10.1007/s00521-018-3623-xopenalex-snapshot
Robust feature extraction and uncertainty estimation based on attractor dynamics in cyclic deep denoising autoencoders
inferred← citeshttps://doi.org/10.1007/s10339-022-01094-1openalex-snapshot
An adaptive linear filter model of procedural category learning
inferred← citeshttps://doi.org/10.1007/s10827-005-5476-4openalex-snapshot
Neuronal Mechanisms Encoding Global-to-Fine Information in Inferior-Temporal Cortex
inferred← citeshttps://doi.org/10.1007/s11571-009-9078-0openalex-snapshot
Working memory dynamics and spontaneous activity in a flip-flop oscillations network model with a Milnor attractor
inferred← citeshttps://doi.org/10.1007/s11571-009-9101-5openalex-snapshot
Chaotic neural network applied to two-dimensional motion control
inferred← citeshttps://doi.org/10.1007/s11571-015-9343-3openalex-snapshot
Modeling spatial–temporal operations with context-dependent associative memories
inferred← citeshttps://doi.org/10.1007/s12551-023-01074-5openalex-snapshot
Multiplicative processing in the modeling of cognitive activities in large neural networks
inferred← citeshttps://doi.org/10.1007/s12559-026-10638-yopenalex-snapshot
Benchmarking Local Hebbian Learning Rules for Memory Storage and Prototype Extraction
inferred← citeshttps://doi.org/10.1007/s40574-026-00538-2openalex-snapshot
Pattern disentanglement and reconstruction by modular Hebbian networks
inferred← citeshttps://doi.org/10.1007/s42113-022-00127-4openalex-snapshot
Generalization at Retrieval Using Associative Networks with Transient Weight Changes
inferred← citeshttps://doi.org/10.1016/0025-5564(83)90077-9openalex-snapshot
Neural population modeling and psychology: A review
inferred← citeshttps://doi.org/10.1016/0166-4328(94)00113-topenalex-snapshot
Neuromodulation and cortical function: modeling the physiological basis of behavior
inferred← citeshttps://doi.org/10.1016/0167-2789(82)90052-5openalex-snapshot
Statistical mechanics of neocortical interactions
inferred← citeshttps://doi.org/10.1016/0167-2789(90)90180-wopenalex-snapshot
Adaptive stochastic cellular automata: Theory
inferred← citeshttps://doi.org/10.1016/0167-2789(93)90203-dopenalex-snapshot
Prediction using unsupervised learning
inferred← citeshttps://doi.org/10.1016/0167-2789(94)90284-4openalex-snapshot
Flexibility through a neural architecture for visual orientation in a natural environment
inferred← citeshttps://doi.org/10.1016/0167-2789(96)00086-3openalex-snapshot
Chaos in high-dimensional neural and gene networks
inferred← citeshttps://doi.org/10.1016/0167-739x(88)90018-0openalex-snapshot
Neurocomputing—neurons as microcomputers
inferred← citeshttps://doi.org/10.1016/0167-8655(94)90155-4openalex-snapshot
A learning model of the feature-detecting cells for unsupervised pattern classification
inferred← citeshttps://doi.org/10.1016/0168-9002(92)90148-wopenalex-snapshot
Application of neural network techniques in gamma spectroscopy
inferred← citeshttps://doi.org/10.1016/0301-0082(84)90021-2openalex-snapshot
Hebb synaptic plasticity
inferred← citeshttps://doi.org/10.1016/0303-2647(87)90031-1openalex-snapshot
Spontaneous formation of regions with different properties in neural nets
inferred← citeshttps://doi.org/10.1016/0303-2647(94)90038-8openalex-snapshot
Multiplicative contexts in associative memories
inferred← citeshttps://doi.org/10.1016/0306-4522(83)90011-8openalex-snapshot
Partial quantification of the associative synaptic learning rule of the dentate gyrus
inferred← citeshttps://doi.org/10.1016/0364-0213(91)80016-xopenalex-snapshot
A Modular Neural Network Model of Concept Acquisition
inferred← citeshttps://doi.org/10.1016/0378-4371(92)90226-gopenalex-snapshot
Effect of aging and damage on the brain modelled by a phase transition
inferred← citeshttps://doi.org/10.1016/0743-7315(89)90059-2openalex-snapshot
Schemas and neural networks for sixth generation computing invited survey
inferred← citeshttps://doi.org/10.1016/0743-7315(89)90060-9openalex-snapshot
Relaxation and neural learning: Points of convergence and divergence
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(89)90035-xopenalex-snapshot
Neural network models for pattern recognition and associative memory
inferred← citeshttps://doi.org/10.1016/0893-6080(89)90037-3openalex-snapshot
Dynamic heteroassociative neural memories
inferred← citeshttps://doi.org/10.1016/0893-6080(89)90043-9openalex-snapshot
Characteristics of sparsely encoded associative memory
inferred← citeshttps://doi.org/10.1016/0893-6080(90)90045-mopenalex-snapshot
Self-organizing neural networks for perception of visual motion
inferred← citeshttps://doi.org/10.1016/0893-6080(90)90052-mopenalex-snapshot
Shaping attraction basins in neural networks
inferred← citeshttps://doi.org/10.1016/0893-6080(91)90036-5openalex-snapshot
Pattern recognition by a distributed neural network: An industrial application
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/10.1016/0893-6080(94)00099-8openalex-snapshot
Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale
inferred← citeshttps://doi.org/10.1016/0893-6080(94)90053-1openalex-snapshot
Runaway synaptic modification in models of cortex: Implications for Alzheimer's disease
inferred← citeshttps://doi.org/10.1016/0893-6080(94)90086-8openalex-snapshot
Improving recall in associative memories by dynamic threshold
inferred← citeshttps://doi.org/10.1016/0893-6080(95)00006-2openalex-snapshot
The recalling process dynamics of associative memory neural networks in macrodynamical approach
inferred← citeshttps://doi.org/10.1016/0893-6080(95)00044-5openalex-snapshot
Feedforward Hebbian learning with nonlinear output units: a Lyapunov approach
inferred← citeshttps://doi.org/10.1016/0893-6080(95)00056-9openalex-snapshot
A model visual cortex incorporating intrinsic horizontal neuronal connections
inferred← citeshttps://doi.org/10.1016/0893-6080(96)00030-5openalex-snapshot
Hierarchical Concept Formation in Associative Memory Composed of Neuro-window Elements
inferred← citeshttps://doi.org/10.1016/0898-1221(90)90329-iopenalex-snapshot
Single-interval learning by simile within a simulated hebbian neural network
inferred← citeshttps://doi.org/10.1016/0925-2312(94)90054-xopenalex-snapshot
Learning with first, second, and no derivatives: A case study in high energy physics
inferred← citeshttps://doi.org/10.1016/0925-2312(95)00055-0openalex-snapshot
A self-organizing network for mixed category perception
inferred← citeshttps://doi.org/10.1016/0957-4174(91)90094-uopenalex-snapshot
Artificial neural networks: Foundations and application to a decision problem
inferred← citeshttps://doi.org/10.1016/b978-0-08-035742-3.50007-1openalex-snapshot
MACHINE LEARNING STRATEGIES FOR KNOWLEDGE ACQUISITION IN AUTONOMOUS ROBOT SYSTEMS
inferred← citeshttps://doi.org/10.1016/b978-0-12-059780-2.50034-6openalex-snapshot
Confrontation Naming: Computational Model and Disconnection Simulation
inferred← citeshttps://doi.org/10.1016/b978-0-12-064470-4.50012-0openalex-snapshot
Optical Implementation of Neural Computers
inferred← citeshttps://doi.org/10.1016/b978-0-12-355760-5.50009-0openalex-snapshot
Optical Implementation of Associative Memory Based on Models of Neural Networks
inferred← citeshttps://doi.org/10.1016/b978-0-12-464260-7.50015-8openalex-snapshot
Neocortical and Thalamocortical Systems
inferred← citeshttps://doi.org/10.1016/b978-0-12-491850-4.50008-8openalex-snapshot
A Mathematical Approach to Neural Systems
inferred← citeshttps://doi.org/10.1016/b978-0-12-546090-3.50007-3openalex-snapshot
THE NEUROLOGICAL BASIS FOR NEURAL COMPUTATIONS
inferred← citeshttps://doi.org/10.1016/b978-0-444-88740-5.50016-5openalex-snapshot
Dynamic Associative Memories
inferred← citeshttps://doi.org/10.1016/b978-012443880-4/50079-xopenalex-snapshot
Determination of Principal Components in Data
inferred← citeshttps://doi.org/10.1016/b978-012646490-0/50005-6openalex-snapshot
Introduction to Soft Computing and Intelligent Control Systems
inferred← citeshttps://doi.org/10.1016/b978-044452977-0/50011-5openalex-snapshot
Three Types of State Transition Underlying Perception
inferred← citeshttps://doi.org/10.1016/b978-1-4832-1448-1.50029-9openalex-snapshot
A modular Neural Network Model of the Acquisition of Category Names in Children
inferred← citeshttps://doi.org/10.1016/j.asoc.2017.08.026openalex-snapshot
Multilayer feed forward neural networks for non-linear continuous bidirectional associative memory
inferred← citeshttps://doi.org/10.1016/j.conb.2021.10.010openalex-snapshot
Neural population geometry: An approach for understanding biological and artificial neural networks
inferred← citeshttps://doi.org/10.1016/j.jcss.2018.10.006openalex-snapshot
Band-restricted diagonally dominant matrices: Computational complexity and application
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111957openalex-snapshot
Neural network approach for cholera dynamics: Integrating deterministic and stochastic insights
inferred← citeshttps://doi.org/10.1016/j.matpur.2024.103623openalex-snapshot
Well-posedness and stability of a stochastic neural field in the form of a partial differential equation
inferred← citeshttps://doi.org/10.1016/j.mbs.2006.10.001openalex-snapshot
Learning of oscillatory correlated patterns in a cortical network by a STDP-based learning rule
inferred← citeshttps://doi.org/10.1016/j.neucom.2004.01.140openalex-snapshot
Neuronal mechanisms for hierarchical encoding in inferior-temporal cortex
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126740openalex-snapshot
Spatiotemporal motor learning with reward-modulated Hebbian plasticity in modular reservoir computing
inferred← citeshttps://doi.org/10.1016/j.neunet.2005.03.009openalex-snapshot
Elman topology with sigma–pi units: An application to the modeling of verbal hallucinations in schizophrenia
inferred← citeshttps://doi.org/10.1016/j.neunet.2006.05.029openalex-snapshot
Towards cortex sized artificial neural systems
inferred← citeshttps://doi.org/10.1016/j.neunet.2009.11.011openalex-snapshot
Robust extraction of local structures by the minimum -divergence method
inferred← citeshttps://doi.org/10.1016/j.neunet.2012.09.014openalex-snapshot
Dreaming of mathematical neuroscience for half a century
inferred← citeshttps://doi.org/10.1016/j.neunet.2013.06.008openalex-snapshot
Storing cycles in Hopfield-type networks with pseudoinverse learning rule: Admissibility and network topology
inferred← citeshttps://doi.org/10.1016/j.neunet.2015.12.012openalex-snapshot
A theory of cerebellar cortex and adaptive motor control based on two types of universal function approximation capability
inferred← citeshttps://doi.org/10.1016/j.neunet.2016.03.013openalex-snapshot
Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units
inferred← citeshttps://doi.org/10.1016/j.patrec.2013.03.034openalex-snapshot
Quantale-based autoassociative memories with an application to the storage of color images
inferred← citeshttps://doi.org/10.1016/s0019-9958(80)90733-0openalex-snapshot
A relationship between the cascaded network and the two-layer network of threshold logic units
inferred← citeshttps://doi.org/10.1016/s0065-2458(08)60167-9openalex-snapshot
Neurocomputing Formalisms for Computational Learning and Machine Intelligence
inferred← citeshttps://doi.org/10.1016/s0079-7421(08)60110-3openalex-snapshot
Integrating Behavioral and Biological Models of Classical Conditioning
inferred← citeshttps://doi.org/10.1016/s0079-7421(08)60113-9openalex-snapshot
A Computational Approach to Hippocampal Function
inferred← citeshttps://doi.org/10.1016/s0092-8240(80)80055-3openalex-snapshot
Topographic organization of nerve fields
inferred← citeshttps://doi.org/10.1016/s0140-1750(81)80037-1openalex-snapshot
Towards a unified brain theory
inferred← citeshttps://doi.org/10.1016/s0304-0208(08)71238-6openalex-snapshot
Chapter XIV A Mathematical Theory of Self-Organizing Nerve Systems
inferred← citeshttps://doi.org/10.1016/s0893-6080(00)00027-7openalex-snapshot
Mutual information of sparsely coded associative memory with self-control and ternary neurons
inferred← citeshttps://doi.org/10.1016/s0893-6080(01)00116-2openalex-snapshot
Unified stabilization approach to principal and minor components extraction algorithms
inferred← citeshttps://doi.org/10.1016/s0893-6080(02)00239-3openalex-snapshot
Two-level hierarchy with sparsely and temporally coded patterns and its possible functional role in information processing
inferred← citeshttps://doi.org/10.1016/s0893-6080(03)00057-1openalex-snapshot
Neural independent component analysis by ‘maximum-mismatch’ learning principle
inferred← citeshttps://doi.org/10.1016/s0893-6080(03)00137-0openalex-snapshot
Mixed states on neural network with structural learning
showing the first 200 of 466 · page through all 466
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.