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Matilde Tristany Farinha

2 accepted papers

2022

Minimizing Control for Credit Assignment with Strong Feedback

ICML 2022spotlight

The success of deep learning ignited interest in whether the brain learns hierarchical representations using gradient-based learning. However, current biologically plausible methods for gradient-based credit assignment in deep neural networks need infinitesimally small feedback signals, which is pro…

2021

Credit Assignment in Neural Networks through Deep Feedback Control

NeurIPS 2021spotlight

The success of deep learning sparked interest in whether the brain learns by using similar techniques for assigning credit to each synaptic weight for its contribution to the network output. However, the majority of current attempts at biologically-plausible learning methods are either non-local in…