Brendan A. Bicknell

Spiking neural network models of sound localisation via a massively collaborative process

The paper describes a massively collaborative project using spiking neural networks to study sound localization, involving 31 researchers across multiple countries.

Brain-like learning with exponentiated gradients

This paper introduces exponentiated gradient (EG) as a learning algorithm for artificial neural networks that better aligns with biological principles than gradient descent.

Fast and slow synaptic plasticity enables concurrent control and learning

The paper proposes a normative plasticity rule that combines fast and slow synaptic plasticity to enable concurrent control and learning, improving task performance and robustness.