CNS Articles


Articles listed below focus on analysis and applications of neural network systems originally developed by CELEST faculty, including ART, ARTMAP, and BCS/FCS.


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Do all neural models really look alike? (1978)
Categories Topics: Mathematical Foundations of Neural Networks,
Author(s) Grossberg, S. |
Abstract Several of the formal approaches that are used to explain psychophysiologicalphenomena lead to different properties and principles of organization. Theseapproaches include computer, linear, and nonlinear models. The present ...

Decisions, patterns, and oscillations in nonlinear competitive systems with applications to Volterra-Lotka systems (1978)
Categories Topics: Mathematical Foundations of Neural Networks, Applications: Biological Classification, Models: Other,
Author(s) Grossberg, S. |
Abstract This paper describes new properties of competitive systems which arise in population biology, ecology, psychophysiology, and developmental biology. These properties yield a global method for analyzing the geometric design ...

Competition, decision, and consensus (1978)
Categories Topics: Biological Learning, Models: Other,
Author(s) Grossberg, S. |
Abstract The following problem, in one form or another, has intrigued philosophers and scientists for hundreds of years: How do arbitrarily many individuals, populations, or states, each obeying unique and personal laws, ever succeed ...

Behavioral contrast in short-term memory: Serial binary memory models or parallel continuous memory models? (1978)
Categories Topics: Biological Learning, Models: Other,
Author(s) Grossberg, S. |
Abstract This paper develops a model wherein STM primacy as well as recency effects can occur. The STM primacy effects can be used to generate correct immediate recall of short lists that have not been coded in LTM. The properties of ...

A mathematical analysis of excitable membrane phenomena (1978)
Categories
Author(s) Grossberg, S. |
Abstract This work defines and analyzes the dynamics of a general excitable membrane. The definition generalizes such special cases the Hodgkin-Huxley and FitzHugh-Nagumo models of nerve impulse transmission. It describes how any ...

A theory of human memory: Self-organization and performance of sensory-motor codes, maps, and plans (1978)
Categories Topics: Biological Learning, Models: Other,
Author(s) Grossberg, S. |
Abstract A psychophysiological theory of the self-organization and performance of sensory-motor codes, maps, and plans is derived herein. this general topic includes a variety of phenomena in many species, ranging from the ...

Bisensory stimulation: Inferring decision-related processes from the P300 component (1977)
Categories Topics: Biological Learning, Models: Other,
Author(s) Grossberg, S. | Donchin, E. | Squires, K.C. | Squires, N.K. |
Abstract Three experiments were conducted to evaluate the P300 component of the human evoked response as an index of bisensory information processing. On different blocks of trials, subjects were presented with auditory stimuli ...

A geometric approach to singular perturbation problems with applications to nerve impulse equations (1977)
Categories
Author(s) Grossberg, S. |
Abstract This paper develops a geometric approach to singular perturbation problems. Results are used to study a general model of a biological process (e.g., nerve impulse, heartbeat, muscle contraction) consisting of a differential ...

Periodic solutions of nerve impulse equations (1977)
Categories
Author(s) Grossberg, S. |
Abstract This paper continues the discussion of singular perturbation solutions of nerve impulse equations begun in [1]. Phase specie analysis is used to study a general model of a biological process (e.g., nerve impulse, heartbeat, ...

On visual illusions in neural networks: Line neutralization, tilt aftereffect, and angle expansion (1976)
Categories Topics: Biological Vision, Models: Other,
Author(s) Grossberg, S. | Levine, D. |
Abstract Certain visual illusion occur in neural networks that are capable of storing partially contrasted enhanced spatial patterns in short term memory (STM), and whose feature detectors are interconnected by nontrivial ...

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