Pavlovian conditioning is argued to provide a basis
for understanding predictive learning in humans.
Extending this idea to a neurobiological account
requires an understanding of integrated brain
activity between regions. One means of integration
may be through synchronous activity between
participating neural networks, evident in the human
EEG as changes in amplitude, phase and frequency.
This work examined conditional changes in alpha
amplitude, to see if it could provide an index of
the integrated brain activity involved in
associative learning.
for understanding predictive learning in humans.
Extending this idea to a neurobiological account
requires an understanding of integrated brain
activity between regions. One means of integration
may be through synchronous activity between
participating neural networks, evident in the human
EEG as changes in amplitude, phase and frequency.
This work examined conditional changes in alpha
amplitude, to see if it could provide an index of
the integrated brain activity involved in
associative learning.