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检索条件"机构=Graduate Program in Dynamical Neuroscience"
15 条 记 录,以下是1-10 订阅
排序:
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing
arXiv
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arXiv 2023年
作者: Yeh, King Fai Flood, Paris Redman, William Liò, Pietro Department of Computer Science and Technology University of Cambridge United Kingdom Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara United States
Recently, Koopman operator theory has become a powerful tool for developing linear representations of non-linear dynamical systems. However, existing data-driven applications of Koopman operator theory, including both... 详细信息
来源: 评论
Modulation of Dopamine for Adaptive Learning: a Neurocomputational Model
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Computational Brain and Behavior 2021年 第1期4卷 34-52页
作者: Inglis, Jeffrey B. Valentin, Vivian V. Ashby, F. Gregory Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara 93106 CA United States Department of Psychological & Brain Sciences University of California Santa Barbara 93106 CA United States
There have been many proposals that learning rates in the brain are adaptive, in the sense that they increase or decrease depending on environmental conditions. The majority of these models are abstract and make no at... 详细信息
来源: 评论
Simulated prosthetic vision identifies checkerboard as an effective raster pattern for retinal implants
arXiv
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arXiv 2025年
作者: Kasowski, Justin M. Beyeler, Michael Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa BarbaraCA93106 United States Department of Computer Science University of California Santa BarbaraCA93106 United States Department of Psychological & Brain Sciences University of California Santa BarbaraCA93106 United States
Objective: This study systematically evaluates the impact of raster patterns-specific spatial arrangements of sequential electrode activation-on performance and perceived difficulty in simulated prosthetic vision (SPV... 详细信息
来源: 评论
On Koopman mode decomposition and tensor component analysis
arXiv
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arXiv 2021年
作者: Redman, William T. Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara CA93106 United States
Koopman mode decomposition and tensor component analysis (also known as CANDECOMP/PARAFAC or canonical polyadic decomposition) are two popular approaches of decomposing high dimensional data sets into modes that captu... 详细信息
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Renormalization group as a Koopman operator
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Physical Review E 2020年 第6期101卷 060104(R)-060104(R)页
作者: William T. Redman Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara California 93106 USA
Koopman operator theory is shown to be directly related to the renormalization group. This observation allows us, with no assumption of translational invariance, to compute the critical exponents η and δ, as well as... 详细信息
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Algorithmic (Semi-)Conjugacy via Koopman Operator Theory
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory
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IEEE Conference on Decision and Control
作者: William T. Redman Maria Fonoberova Ryan Mohr Ioannis G. Kevrekidis Igor Mezić Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara AIMdyn Inc. Santa Barbara Departments of Chemical and Biomolecular Engineering and of Mathematics and Statistics The Johns Hopkins University Departments of Mechanical Engineering and of Mathematics University of California Santa Barbara
Iterative algorithms are of utmost importance in decision and control. With an ever growing number of algorithms being developed, distributed, and proprietarized, there is a similarly growing need for methods that can... 详细信息
来源: 评论
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory
arXiv
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arXiv 2022年
作者: Redman, William T. Fonoberova, Maria Mohr, Ryan Kevrekidis, Ioannis G. Mezić, Igor The Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara United States AIMdyn Inc. Santa Barbara United States The Department of Chemical and Biomolecular Engineering and of Mathematics and Statistics The Johns Hopkins University United States The Department of Mechanical Engineering and of Mathematics University of California Santa Barbara United States
Iterative algorithms are of utmost importance in decision and control. With an ever growing number of algorithms being developed, distributed, and proprietarized, there is a similarly growing need for methods that can... 详细信息
来源: 评论
Control of ecological outcomes through deliberate parameter changes in a model of the gut microbiome
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Physical Review E 2020年 第5期101卷 052402-052402页
作者: Zipeng Wang Eric W. Jones Joshua M. Mueller Jean M. Carlson Department of Physics University of California Santa Barbara Santa Barbara California 93106 USA Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara Santa Barbara California 93106 USA
The generalized Lotka-Volterra (gLV) equations are a mathematical proxy for ecological dynamics. We focus on a gLV model of the gut microbiome, in which the evolution of the gut microbial state is determined in part b... 详细信息
来源: 评论
A Systematic Review of Extended Reality (XR) for Understanding and Augmenting Vision Loss
arXiv
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arXiv 2021年
作者: Kasowski, Justin Johnson, Byron A. Neydavood, Ryan Akkaraju, Anvitha Beyeler, Michael Graduate Program in Dynamical Neuroscience University of California Santa BarbaraCA93106 United States Department of Psychological & Brain Sciences University of California Santa BarbaraCA93106 United States Department of Computer Science University of California Santa BarbaraCA93106 United States
Purpose: Over the past decade, extended reality (XR) has emerged as an assistive technology not only to augment residual vision of people losing their sight but also to study the rudimentary vision restored to blind p... 详细信息
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Universality of Winning Tickets: A Renormalization Group Perspective
arXiv
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arXiv 2021年
作者: Redman, William T. Chen, Tianlong Wang, Zhangyang Dogra, Akshunna S. Interdepartmental Graduate Program in Dynamical Neuroscience University of California Santa Barbara United States Department of Electrical and Computer Engineering University of Texas at Austin United States Department of Mathematics Imperial College London United Kingdom EPSRC CDT in Mathematics of Random Systems: Analysis Modelling and Simulation United Kingdom
Foundational work on the Lottery Ticket Hypothesis has suggested an exciting corollary: winning tickets found in the context of one task can be transferred to similar tasks, possibly even across different architecture... 详细信息
来源: 评论