Skip to contentSkip to filters

We use cookies for analytics.

Topic: universal function approximation

Seminar
1 seminar

In Applied Mathematics and Computational Neuroscience

Seminar · Computational Neuroscience

Universal function approximation in balanced spiking networks through convex-concave boundary composition

W. F. Podlaski · Champalimaud

Thu, Nov 10, 2022 · 14:55 UTC

The spike-threshold nonlinearity is a fundamental, yet enigmatic, component of biological computation — despite its role in many theories, it has evaded definitive characterisation. Indeed, much classic work has attempted to limit the focus on spiking by smoothing over the spike threshold or by approximating spiking dynamics with firing-rate dynamics. Here, we take a novel perspective that captures the full potential of spike-based computation. Based on previous studies of the geometry of efficient spike-coding networks, we consider a population of neurons with low-rank connectivity, allowing