Hebbian Crosstalk Prevents Nonlinear Unsupervised Learning
| dc.creator | Cox, Kingsley J. A. | |
| dc.creator | Adams, Paul R. | |
| dc.date | 2008-02-21 | |
| dc.date.accessioned | 2026-07-07T09:22:15Z | |
| dc.date.available | 2026-07-07T09:22:15Z | |
| dc.description | Learning is thought to occur by localized, experience-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 critical crosstalk level and discuss the implications of this for nonlinear learning from higher-order correlations in the neocortex. | |
| dc.identifier | https://arxiv.org/abs/0802.2967 | |
| dc.identifier | http://arxiv.org/abs/0802.2967 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/155312 | |
| dc.subject | Neurons and Cognition | |
| dc.title | Hebbian Crosstalk Prevents Nonlinear Unsupervised Learning | |
| dc.type | text |