What is a connectionist model?

 

Answer: Neural networks are by far the most commonly used connectionist model today. Though there are a large variety of neural network models, they almost always follow two basic principles regarding the mind:

1.      Any mental state can be described as an (N)-dimensional vector of numeric activation values over neural units in a network.

2.      Memory is created by modifying the strength of the connections between neural units.

The connections strengths, or “weights”, are generally represented as an NxN matrix.

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