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Computing with structured neural networks
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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/bf00335349openalex-snapshot
Dynamic connections in neural networks
inferredcites →https://doi.org/10.1007/bf00340071openalex-snapshot
Dynamic connections in neural networks
inferredcites →https://doi.org/10.1016/0004-3702(89)90049-0openalex-snapshot
Connectionist learning procedures
inferredcites →https://doi.org/10.1016/0022-2496(82)90036-0openalex-snapshot
Parallel models of associative memory
inferredcites →https://doi.org/10.1016/b978-0-08-051055-2.50029-8openalex-snapshot
CONNECTIONIST LEARNING PROCEDURES11This chapter appeared in Volume 40 of Artificial Intelligence in 1989, reprinted with permission of North-Holland Publishing. It is a revised version of Technical Report CMU-CS-87-115, which has the same title and was prepared in June 1987 while the author was at…
inferredcites →https://doi.org/10.1109/2.31openalex-snapshot
Computing motion using analog and binary resistive networks
inferredcites →https://doi.org/10.1126/science.3738519openalex-snapshot
The Neurobiology of Learning and Memory
inferredcites →https://doi.org/10.1126/science.3755256openalex-snapshot
Computing with Neural Circuits: A Model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A pilot study on colonic mucosal tissues by fluorescence spectroscopy technique: Discrimination by principal component analysis (PCA) and artificial neural network (ANN) analysis
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Solving tangram puzzles: A connectionist approach
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An Audit Framework for Expert Systems
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An introduction to neurocomputing and its possible role in AI
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Language supported storage and reuse of persistent neural network objects
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Overview of Artificial Neural Networks
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Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
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Hopfield Model, Boltzmann Machine, Multilayer Perceptron and Selected Applications
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A Note on K. Bock’s “Syntactic Adjustment Effect” Problem
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Proceedings of the 1988 connectionist models summer school
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Neural networks, artificial intelligence and computational reality
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Artificial intelligence through symbolic connectionism—A biomimetic rapprochement
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Key references in distributed computer systems 1959–1989
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Generating action plans for poultry management using artificial neural networks
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Constraints on the Learning of Spatial Terms: A Computational Investigation
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The processing of verbs and nouns in neural networks: Insights from synthetic brain imaging
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Neuropsychological inference with an interactive brain: A critique of the “locality” assumption
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Simulating nonlocal systems: Rules of the game
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Local representations without the locality assumption
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Locality, modularity and numerical cognition
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Discarding locality assumptions: Problems and prospects
inferred← citeshttps://doi.org/10.1017/s0140525x00033367openalex-snapshot
Casting one's net too widely?
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Modularity, interaction and connectionist neuropsychology
inferred← citeshttps://doi.org/10.1017/s0140525x00033380openalex-snapshot
Modularity, abstractness and the interactive brain
inferred← citeshttps://doi.org/10.1017/s0140525x00033392openalex-snapshot
Further advantages of abandoning the locality assumption in face recognition
inferred← citeshttps://doi.org/10.1017/s0140525x00033409openalex-snapshot
Neurocomputing and modularity
inferred← citeshttps://doi.org/10.1017/s0140525x00033410openalex-snapshot
Clarifying the locality assumption
inferred← citeshttps://doi.org/10.1017/s0140525x00033434openalex-snapshot
Go with the flow but mind the details
inferred← citeshttps://doi.org/10.1017/s0140525x00033446openalex-snapshot
Do neuropsychologists think in terms of interactive models?
inferred← citeshttps://doi.org/10.1017/s0140525x00033458openalex-snapshot
Neuropsychology: Going loco?
inferred← citeshttps://doi.org/10.1017/s0140525x0003346xopenalex-snapshot
Distributed locality and large-scale neurocognitive networks
inferred← citeshttps://doi.org/10.1017/s0140525x00033483openalex-snapshot
Parallel distributed processing challenges the strong modularity hypothesis, not the locality assumption
inferred← citeshttps://doi.org/10.1017/s0140525x00033495openalex-snapshot
Local and distributed processes in attentional orienting
inferred← citeshttps://doi.org/10.1017/s0140525x00033501openalex-snapshot
Perception and its interactive substrate: Psychophysical linking hypotheses and psychophysical methods
inferred← citeshttps://doi.org/10.1017/s0140525x00033513openalex-snapshot
Locus-pocus (which and whose locality assumption?)
inferred← citeshttps://doi.org/10.1017/s0140525x00033525openalex-snapshot
Throwing out the neuropsychological data with the locality bathwater?
inferred← citeshttps://doi.org/10.1017/s0140525x00033537openalex-snapshot
The real functional architecture is gray, wet and slippery
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The functional architecture of visual attention may still be modular
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Playing Flourens to Fodor's Gall
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Prosopagnosia, conscious awareness and the interactive brain
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The symbolic brain or the invisible hand?
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The localization/distribution distinction in neuropsychology is related to the isomorphism/multiple meaning distinction in cell electrophysiology
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Modularity need not imply locality: Damaged modules can have nonlocal effects
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Interactions on the interactive brain
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Applications of Artificial Neural Networks (ANNs) in the Food Processing Industry
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Leveraging mathematical and computational algorithms in developing binomial neural networks for X-ray image classification
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Neucomp—a neural network compiler
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Deep dyslexia: A case study of connectionist neuropsychology
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HOW CONNECTIONISM CAN CHANGE AI AND THE WAY WE THINK ABOUT OURSELVES
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Constrained connectionism and the limits of human semantics: A review essay of Terry Regier's The human semantic potential
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Applications of neural networks in manufacturing management systems
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Artificial neural networks: a tutorial
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Object recognition by a Hopfield neural network
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A graduated assignment algorithm for graph matching
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A Lagrangian relaxation network for graph matching.
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Enhancing the effectiveness of fungicides by optimizing their combinations
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Implementation of Artificial Neural Networks on FPGA for Adaptive Interference Canceling
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Derivation of Weibull Distributions From Spike-like Inputs in Artificial Neural Networks
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A Lagrangian relaxation network for graph matching
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Connectionist-network auction algorithm for the assignment problem
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Parametric connectivity: feasibility of learning in constrained weight space
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A hybrid neural network and virtual reality system for spatial language processing
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Artificial neural networks (ANN) as simulators and emulators-an analytical overview
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A neural framework for robot motor planning
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Analog computing method for solving two-point boundary value problems
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APPMPS: An Asynchronous Parallel Plastic Multiprocessing System
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Winner-take-all neural network for visual handwritten character recognition
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Optimization of Chemical Fungicide Combinations Targeting the Maize Fungal Pathogen, Bipolaris maydis: A Systematic Quantitative Approach
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A model for neurocomputing
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Optimization in Model Matching and Perceptual Organization
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Expert Systems: An Overview for Social Scientists
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A Comparison of Neural Network and Expert Systems Algorithms with Common Multivariate Procedures for Analysis of Social Science Data
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Reconnaissance d'algues toxiques par vision artificielle et reseau de neurones /
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Image Understanding and Intelligent Parallel Systems
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Back to the future: logic and machine learning
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Digital Surveillance Based on Video CODEC System-on-a-Chip (SoC) Platforms
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Selective attention and the acquisition of spatial semantics
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Deep learning for ultrafast X-ray scattering and imaging with intense X-ray FEL pulses
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ДОСЛІДЖЕННЯ АЛГОРИТМІВ НАВЧАННЯ НЕЙРОННОЇ МЕРЕЖІ ДЛЯ КЛАСИФІКАЦІЇ ЗОБРАЖЕНЬ
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Approval of Artificial Intelligence and Machine Learning Models to Solve Problems in Nonlinear Active Suspension Systems
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Data Processing Using Artificial Neural Networks
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