AUTHOR=Cox Kingsley J., Adams Paul 

TITLE=Hebbian crosstalk prevents nonlinear unsupervised learning

JOURNAL=Frontiers in Computational Neuroscience

VOLUME=Volume 3 - 2009

YEAR=2009

URL=https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/neuro.10.011.2009

DOI=10.3389/neuro.10.011.2009

ISSN=1662-5188

ABSTRACT=Learning is thought to occur by localized, activity-induced changes in the strength of synaptic connections between neurons. Recent work has shown that activity-dependent changes at one connection can affect changes at others ("crosstalk"). We studied the role of such crosstalk in nonlinear Hebbian learning using a neural network implementation of Independent Components Analysis (ICA). We find that there is a sudden qualitative change in the performance of the network at a threshold crosstalk level and discuss the implications of this for nonlinear learning from higher-order correlations in the neocortex.