A second paradigm focuses on the neural structures involved in either planning or control, respectively.
The results suggest that both neural sensitivity and neural efficiency appear to be good predictors of phonetic learning.
When the tracker is not sure that a sequence is being repeated, or when the tracked sequence finishes, it returns control to the neural network.
The collective results suggest that neural populations, rather than the individual cell, determine the spatial proper ties of its receptive field.
Then there is no need to use a different neural network for the different lookup tables.
Sliding modes are used to determine best values for parameters in neural network learning rules, thereby robustness in learning control can be improved.
This study reveals perceptual misbinding of color, thereby revealing separate neural representations of color and form followed by a subsequent binding process.
On the other hand, people who have studied neural network models have tended to neglect symbol manipulation.
