A Theory of Neuromime Nets Containing Recurrent Inhibition, with an Analysis of a Hippocampus Model.
Interim scientific rept. no. 15,
MICHIGAN STATE UNIV EAST LANSING DIV OF ENGINEERING RESEARCH
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A functal net model of recurrent inhibition as found in the CA3 sector of mammalian hippocampus is presented. The model contains a rank of functals, which are somewhat like adaptive threshold logic units, and a rank of function generators, which are threshold logic units. The most important characteristic of the models input-output transformation is that a single input can be transformed into a sequence of outputs. A trainable functal net is one in which the functions realized by its functals are under the control of an external structure called the trainer, which operates according to a specified algorithm. The CA3 model is incorporated into an automata theoretic model of the hippocampus that is designed to take advantage of certain of the CA3 models properties. The function realized by a functal system model whenever it is placed in a new environment is called the initial function. The selection of initial functions is discussed, and an algorithm is derived to select them automatically. Author
- Anatomy and Physiology