Denis Kleyko wins SSF Future Research Leaders award
June 19, 2025
Award to provide his lab funding of SEK 15 million ($1.5M) over five years.
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Daniel Kunin joins Redwood Center as Miller Postdoctoral Fellow
June 1, 2025
To study mathematical principles of learning in artificial and natural Intelligence
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Sophia Sanborn appointed Assistant Professor at Stanford School of Medicine
May 29, 2025
To lead the Enigma Project.
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Chris Kymn graduates, receives Bearden Book Award for outstanding research
May 23, 2025
Thesis develops a theoretical framework for the hippocampal formation in terms of a compositional associative memory system.
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Redwood members present at Neurips 2024
December 31, 2024
Chris Kymn, Zeyu Yun, Galen Chuang and Sonia Mazelet presented at Neurips 2024!
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Jamie Simon graduates, wins departmental thesis award
December 23, 2024
Jamie's PhD thesis work is devoted to the development of fundamental theory for deep learning.
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Redwood attends SfN 2024
October 9, 2024
Chris Kymn, Ed Sandoval and Hadi Vafaii present posters at SfN 2024.
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Anthony Thomas starts new faculty position at UC Davis
September 20, 2024
To teach and lead research on algorithms and learning and reasoning under computational constraints, such as memory, precision and network communication.
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Ankit Kumar graduates
May 30, 2024
PhD thesis on understanding brain dynamics using control theory and building a generative model of the fruit fly connectome.
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Terence Tyson, Zeyu Yun and Yazhou Zhao present at VSS 2024
May 20, 2024
Redwood members present at Vision Science Society (VSS) conference.
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Chris, Sonia and Annabel present at NICE 2024
April 23, 2024
Redwood Center members Christopher Kymn, Sonia Mazelet and Annabel Ng presented a full (20+5) minute talk at the 11th Annual Neuro-Inspired Computational Elements (NICE) 2024.
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Redwood Center attends COSYNE 2024
February 29, 2024
Chris Kymn presents a poster at COSYNE 2024, entitled "A residue-number attractor neural network model of error-correcting updates among grid cell modules".
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Connor Bybee awarded Swartz Foundation fellowship
October 1, 2023
To study complex brain computation and stochastic neural dynamics.
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Olshausen lab awarded NSF Robust Intelligence grant
September 1, 2023
Joint grant with Nina Miolane (UC Santa Barbara) and Stella Yu (University of Michigan) to develop Lie theory models of vision.
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Yubei Chen starts new faculty position at UC Davis
July 5, 2023
To lead a research group at UC Davis studying the computational principles that govern representation learning.
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Redwood Center attends ICLR 2023
May 5, 2023
Sophia Sanborn, Christian Shewmake, Zeyu Yun and Yubei Chen present at the 11th International Conference on Learning Representations (ICLR) held in Kigali, Rwanda.
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Ankit Kumar presents at COSYNE 2023
March 14, 2023
Ankit Kumar gives a talk at the Computational and Systems Neuroscience (COSYNE) 2023 conference, held in Montreal, Canada.
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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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Sophia Sanborn graduates
January 1, 2022
PhD thesis explores mathematically robust invariants in the context of machine learning, signal processing, and associative memories
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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.
Read More Yubei Chen graduates
April 16, 2020
Will continue work on unsupervised learning at the Redwood Center and (in the Fall) Facebook AI Research.
Read More 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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