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Welcome to the Learning section. The latest articles for this section are displayed below:
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A mathematical framework is being used to investigate the learning dynamics induced by a class of biologically realistic synaptic plasticity rules in recurrently connected neuronal networks.
Using the onset time of stimuli, a biologically-inspired system learns to identify the sources of sounds.
A VLSI system implements a bioplausible spike-based learning algorithm and is capable of robust classification of binary patterns, even when they are highly correlated.
BRAINS AND MACHINES
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The iCub cometh »
17 July 2008
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I've been taking a break from writing to work on another project this spring and summer but managed to find the time to finish off a story about the iCub. This open-source robot is designed to allow academics to concentrate...
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Supervised learning in spiking neural networks »
1 March 2007
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A learning method called ReSuMe allows fast convergence and optimal solution stability.
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