Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units

no code implementations • ICLR 2021 • Jonathan Cornford, Damjan Kalajdzievski, Marco Leite, Amélie Lamarquette, Dimitri Michael Kullmann, Blake Aaron Richards

The units in artificial neural networks (ANNs) can be thought of as abstractions of biological neurons, and ANNs are increasingly used in neuroscience research.

CaLFADS: latent factor analysis of dynamical systems in calcium imaging data

no code implementations • 1 Jan 2021 • Luke Yuri Prince, Shahab Bakhtiari, Colleen J Gillon, Blake Aaron Richards

As such, the success of dynamic latent variable modelling in calcium imaging data rests on being able to disentangle the contribution of these two sources of variation.

Point Processes

Adversarial Feature Desensitization

1 code implementation • NeurIPS 2021 • Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Aaron Richards, Irina Rish

Our method, called Adversarial Feature Desensitization (AFD), aims at learning features that are invariant towards adversarial perturbations of the inputs.

Adversarial Robustness Domain Adaptation +1