581 citations · 1.8k across the 41 of their papers we have counts for
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q-bio.NC2012
Regulating the information in spikes: a useful bias
David Balduzzi
The bias/variance tradeoff is fundamental to learning: increasing a model's complexity can improve its fit on training data, but potentially worsens performance on future samples.…
q-bio.NC2012★ 6 cited
Towards a learning-theoretic analysis of spike-timing dependent plasticity
David Balduzzi, Michel Besserve
This paper suggests a learning-theoretic perspective on how synaptic plasticity benefits global brain functioning. We introduce a model, the selectron, that (i) arises as the fast…
q-bio.NC2012
Metabolic cost as an organizing principle for cooperative learning
David Balduzzi, Pedro A Ortega, Michel Besserve
This paper investigates how neurons can use metabolic cost to facilitate learning at a population level. Although decision-making by individual neurons has been extensively studied…