|
|
|
|
Our recent Papers Cox KA and Adams PR (2009) Hebbian crosstalk prevents nonlinear unsupervised learning. in press Front. Comput. Neurosci. 3:11. doi:10.3389/neuro.10.011.2009 Provisional PDF This paper shows that in a popular model of nonlinear Hebbian learning, there is a critical level of synaptic update error beyond which the system is unable to extract any useful information. This is the first evidence that a critical error threshold may well be a limiting factor regarding learning in the cortex and supports our contention that a large part of cortical circuitry is involved in error correction by proofreading.
Radulescu, A., Cox, K.J.A. and Adams, P.R. Hebbian errors in learning: An analysis using the Oja model. J. Theor. Biol.(2009), 258, 489-501 PDF Supplement PDF This paper explores with analysis and simulations the role of Hebbian synaptic update error in the Oja Model, which is a linear system. We find that error, as expected, degrades performance but that there is no sudden breakdown, in contrast to the nonlinear case.
Recent Meeting and Posters/Abstracts
|