Sentence examples for modifications of learning from inspiring English sources

We propose some modifications of learning vector quantization algorithms that are especially adapted to the task of incremental learning and capable of dealing with the stability-plasticity dilemma of such learning algorithms.

For VOR modification, transfer of learning from cortex to brainstem is required only for responses in the higher frequency range.

The statistical analyses of paired samples t-test revealed that both methods of input modification led to the enhancement of learning non-congruent collocations.

In a similar sense, our findings revealed the compelling effect of a process of learning and modification.

Such synaptic modification provides an important neural basis of learning: As two co-occurring objects are being connected in the individual's mind, neurons that respond to features of these objects become bound together functionally in the individual's brain.

Although we anticipated a modification of both learning and IIPMF sizes, no such effects were detected.

Our present results extend these findings by showing that the expression of a reward signal within the MTL can be adaptively scaled with direct impact on reward-related modification of hippocampal learning [Adcock et al., 2006; Wittmann et al., 2005].

However, we made these modifications to the trigger tool methodology precisely to increase the likelihood of learning from AEs.

The slow modification of the connectivity between the neurons is commonly thought to be the essence of learning.

This is the first demonstration of differences in learning capability between alternative adult phenotypes, and also of transient modifications in learning capability during the process of phenotypic transformation; the latter modifications go beyond the differences observed between the two extreme phenotypes.

The proposed algorithm involves modifications of the learning procedure and resonance test of the Fuzzy ART neural network.