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During training, BA creates input data clusters as Gaussian categories, and also infers the conditional probabilities between input patterns and categories, and between categories and classes.
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This combinatorial coding scheme would potentially allow the cerebellum to make much finer distinctions between input patterns than the mossy fibers alone would permit.
This problem was a symptom of the network inability to learn to 'discriminate' between input patterns that produced overlapping network activations.
The Isomap algorithm attempts to find a low-dimensional representation of a high dimensional data set that most faithfully preserves pairwise distances between input patterns measured along the submanifold from which they were sampled.
Hence, it follows that in the case of the initiation condition there is a matching between bottom-up filtered input patterns and top-down expectations that leads to the observed increase in P50 activation.
Matches between bottom-up adaptively filtered input patterns and learned top-down expectations cause gamma oscillations that support attention, resonance, learning, and consciousness.
According to this theory, the match between bottom-up adaptively filtered input patterns and learned top-down expectations causes gamma oscillations, whereas a mismatch between bottom-up and top-down signal patterns prevents the development of such a synchronous state.
Mechanisms for allowing the studied associative networks to deal with asynchronous changes in input patterns, and tools for the interconnection between different associative assemblies are developed.
An ANN model is proposed to observe relationships between input and output parameters by learning from a number of input patterns and their associated output patterns.
The algorithm is defined using the linear summation of input patterns and their randomized input weights.
In the following discussion, we refer to the set of patterns we are trying to cover as the input patterns, and the set of patterns that cover the input patterns using our cost model as the covering patterns.
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