Preprints galore
March 12, 2019

Five new preprints detail work on diverse topics like phasor associative memory, grid cell replay, and unsupervised learning

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Eric Dodds graduates
December 14, 2018

PhD thesis discusses aspects of early vision processing for local sparse feature learning as well as time-asymmetry in linear models of cochlear processing. Eric will be joining Verizon Media Group this spring to work on computer vision.

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New paper: The Sparse Manifold Transform (to appear in NIPS 2018)
September 7, 2018

Yubei Chen, Dylan Paiton, and Bruno Olshausen describe how sparse coding and manifold learning are connected, leading to a new unsupervised learning algorithm for simultaneously capturing sparse features and low-dimensional transformations of data.

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Alex Anderson graduates
May 22, 2018

PhD thesis shows how cortical neurons can simultaneously estimate form and motion from drifting retinal images, providing a first account for why, and how, visual acuity improves with eye movement.

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Neha Wadia wins Google Ph.D. Fellowship
April 18, 2018

Fellowship to support work on theoretical tools for understanding network computations in nervous systems

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New work on information storage in Phase Change Memory (to appear in DCC 2018)
March 13, 2018

Work by Ryan Zarcone and collaborators on joint source-channel coding for PCM devices to be presented at IEEE Data Compression Conference March 27-30.

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New year, new look
January 31, 2018

Redwood Center launches new website and social media accounts

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Simons Institute Program Kicks Off
January 15, 2018

Bootcamp workshop welcomes new research fellows and visitors to this semester's program on 'The Brain and Computation'

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Redwood Center welcomes new postdoc Louis Kang
September 7, 2017

Louis Kang joins the Redwood Center to study biological neural networks with Mike DeWeese.

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