Sophia Sanborn graduates
May 24, 2022

PhD thesis explores mathematically robust invariants in the context of machine learning, signal processing, and associative memories

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Redwood selected for three full talks at NICE 2022
April 1, 2022

Redwood Center members Connor Bybee, Denis Kleyko, and Christopher Kymn presented full (20+5) minute talks at the 9th Annual Neuro-Inspired Computational Elements (NICE) workshop, held virtually from March 28-April 1, 2022.

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Redwood Center attends COSYNE 2022
March 22, 2022

Redwood members present at the 2022 Computational and systems neuroscience conference (COSYNE) in Lisbon, Portugal.  

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Vasha DuTell graduates
November 17, 2021

Ph.D. thesis explores spatiotemporal properties of natural retinal images.

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Three Ph.D. students win graduate fellowships
April 9, 2021

Jamie Simon awarded NSF Fellowship; Adrianne Zhong and Chris Kymn selected for NDSEG Fellowship

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Resonator network papers in print
December 1, 2020

Resonator networks are recurrent neural networks designed to solve high-dimensional vector factorization problems. We explain their theory and applications in two new papers appearing in the journal Neural Computation.

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Sparse coding selectivity and robustness explored in new JOV paper
November 30, 2020

Dylan Paiton and collaborators explain how sparse inference with recurrence and inhibition leads to more selective and robust representations in neural networks.

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Louis Kang starts new faculty position at RIKEN
September 30, 2020

To lead Neural Circuits and Computations Unit in studying how hippocampal circuits produce memory.

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Retinal image motion paper published in Journal of Vision
August 6, 2020

Alex Anderson and collaborators develop a mathematical model showing how the eyes' self-generated drift motion can improve high-acuity vision by averaging over retinal inhomogeneities.

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Michael Fang, Charles Frye, and Ryan Zarcone graduate from Berkeley and the Redwood Center
June 4, 2020

Analog devices, noise, and neural network loss surface geometry among topics studied by three new Redwood PhD graduates.

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Zarcone, Engel, and collaborators explore analog coding in emerging memory systems
May 28, 2020

Joint source & channel coding allows one to better store and retrieve data from Phase Change Memory

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Orthogonal CNNs @ CVPR
May 27, 2020

Orthogonal CNNs enforce a type of orthogonality on convolutional filters that makes them easier to train and perform better at classification and inpainting.

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Yubei Chen graduates
April 16, 2020

Will continue work on unsupervised learning at the Redwood Center and (in the Fall) Facebook AI Research.

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Denis Kleyko starts a postdoc at the Redwood Center
April 15, 2020

Denis is working on Vector Symbolic Architectures for modeling cognitive computation.

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Five new PhD graduates!
September 3, 2019

Brian Cheung, Chris Warner, Dylan Paiton, Mayur Mudigonda, and Shariq Mobin graduate from the Redwood Center and UC Berkeley. Learn about their work here.

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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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