higher-order neurons

[Ron Sun]

There are more generalized neuronal models that exibit interesting
properties. Some of them are discrete rather than continuous.
Some have weights while others do not even have weights.
They are higher-order, in the sense that they can compute more
complicated mappings. Some references here:




I. Aleksander, The Logic of connectionist system, in: Neural Computing Architectures, MIT Press, 1989

A. Barto, From Chemotaxis to Cooperativity, COINS TR 88-65, University of Massachusetts, 1988

J. Feldman and D. Ballard, Connectionist models and their properties, Cognitive Science, July, 1982

A. Klopf, The Hedonistic Neuron, Hemisphere, 1982

R. Sun, A discrete neural network model for conceptual representation and reasoning, 11th Cognitive Science Society Conference, 1989

R. Sun, E. Marder and D. Waltz, Model local neural networks in the lobster
stomatogastric ganglion, IJCNN, 1989

R. Sun, Designing inference engines based on a discrete neural network model,
Proc. IEA/AIE, 1989

R. Sun, The Discrete Neuron and The Probabilistic Discrete Neuron,
submitted to INNC, 1989

R. Sutton and A. Barto, A Temporal-Difference Model of Classical Conditioning, Proceedings of 9th Cognitive Science Society Conference, 1987