6 citations · 7 across the 2 of their papers we have counts for
4 papers · 1 filter
Object Based Attention Through Internal Gating
Jordan Lei, Ari S. Benjamin, Konrad P. Kording
Object-based attention is a key component of the visual system, relevant for perception, learning, and memory. Neurons tuned to features of attended objects tend to be more active…
Learning to infer in recurrent biological networks
Ari S. Benjamin, Konrad P. Kording
A popular theory of perceptual processing holds that the brain learns both a generative model of the world and a paired recognition model using variational Bayesian inference. Most…
The Roles of Supervised Machine Learning in Systems Neuroscience
Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi +1
Over the last several years, the use of machine learning (ML) in neuroscience has been rapidly increasing. Here, we review ML's contributions, both realized and potential, across s…
Machine learning for neural decoding
Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury +3
Despite rapid advances in machine learning tools, the majority of neural decoding approaches still use traditional methods. Modern machine learning tools, which are versatile and e…