Search Results for author: Ari S. Benjamin

Found 6 papers, 3 papers with code

Object Based Attention Through Internal Gating

1 code implementation8 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.

Learning to infer in recurrent biological networks

1 code implementation18 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.

Bayesian Inference Variational Inference

The Roles of Supervised Machine Learning in Systems Neuroscience

no code implementations21 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.

BIG-bench Machine Learning

Measuring and regularizing networks in function space

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.

Improving generalization by regularizing in $L^2$ function space

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.

Machine learning for neural decoding

1 code implementation2 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.

BIG-bench Machine Learning Hippocampus

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