Neural Modeling as one Approach to Machine Learning
In this paper I propose that a neural modeling approach is reasonable for investigating certain low-level learning processes such as are exhibited by invertebrates. These include habituation, sensitization, classical conditioning, and operant conditioning. Recent work in invertebrate neurophysiology has begun to provide much knowledge about the underlying mechanisms of learning in these animals. Guided by these findings, I am constructing simulated organisms which will display these basic forms of learning.
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