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Gaussian process

2 results

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Discrete communication mediates effective regularization in recurrent neural networks

Jan Philipp Bauer, Jonathan Kadmon, Moritz Helias · COSYNE 2023

Neuronal computation is mediated by spikes, yet it is unclear what the benefits of discrete spiking dynamics over continuous firing rates are. Many theoretical and computational studies treat single neurons as continuous units and their output as an effective firing rate. These works view spiking dynamics as a biophysical constraint, e.g., for energy efficiency. Conversely, other theories suggest that the exact timings of single spikes are meaningful. We propose a novel theory that shows the benefits of spiking dynamics on neural computation. In particular, we show that spiking neural dynamics

ePoster · Computational Neuroscience

Deep kernel methods

Laurence Aitchison · University of Bristol

…wide Bayesian neural network or deep Gaussian process. Next, we conje

Thu, Nov 25, 2021 · 13:00 UTC

Seminar · Machine Learning