Search Results for author: Adam Marblestone

Found 5 papers, 1 papers with code

Gaussian Gated Linear Networks

2 code implementations NeurIPS 2020 David Budden, Adam Marblestone, Eren Sezener, Tor Lattimore, Greg Wayne, Joel Veness

We propose the Gaussian Gated Linear Network (G-GLN), an extension to the recently proposed GLN family of deep neural networks.

Denoising Density Estimation +2

Product Kanerva Machines: Factorized Bayesian Memory

no code implementations6 Feb 2020 Adam Marblestone, Yan Wu, Greg Wayne

An ideal cognitively-inspired memory system would compress and organize incoming items.


Towards an integration of deep learning and neuroscience

no code implementations13 Jun 2016 Adam Marblestone, Greg Wayne, Konrad Kording

We hypothesize that (1) the brain optimizes cost functions, (2) these cost functions are diverse and differ across brain locations and over development, and (3) optimization operates within a pre-structured architecture matched to the computational problems posed by behavior.

Neurons and Cognition

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