1 code implementation • 8 Jun 2021 • 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.
1 code implementation • 18 Jun 2020 • 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.
no code implementations • ICLR 2019 • Ari S. Benjamin, David Rolnick, Konrad Kording
To optimize a neural network one often thinks of optimizing its parameters, but it is ultimately a matter of optimizing the function that maps inputs to outputs.
no code implementations • 21 May 2018 • Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, Konrad P. Kording
Over the last several years, the use of machine learning (ML) in neuroscience has been rapidly increasing.
no code implementations • ICLR 2018 • Ari S. Benjamin, Konrad Kording
The resulting learning rule, which we call Hilbert-constrained gradient descent (HCGD), is thus closely related to the natural gradient but regularizes a different and more calculable metric over the space of functions.
1 code implementation • 2 Aug 2017 • Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Kording
Despite rapid advances in machine learning tools, the majority of neural decoding approaches still use traditional methods.