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Synthesis of nonlinear control surfaces by a layered associative search network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Perceptual Structures and Distributed Motor Control
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A model of associative memory in the brain
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Self-organization of orientation sensitive cells in the striate cortex
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Landmark learning: An illustration of associative search
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Adaptive pattern classification and universal recoding: II. Feedback, expectation, olfaction, illusions
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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
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Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors
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A model for sensorimotor control and learning
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Associative search network: A reinforcement learning associative memory
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On optimal nonlinear associative recall
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Competition and Cooperation in Neural Nets
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OCCAM: A COMPUTER MODEL FOR A CONTENT ADDRESSABLE MEMORY IN THE CENTRAL NERVOUS SYSTEM
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Pattern Classification and Scene Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Testing the Limits of the World's Largest Control Task
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Reinforcement Learning
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A layered network model of associative learning: Learning to learn and configuration.
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Hebbian Synaptic Modifications in Spiking Neurons that Learn
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