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Host name	madonna3.sslcatacombnetworking.com
IP address	144.217.20.23
Location	Beauharnois Canada
Latitude	45.3161
Longitude	-73.8736
Timezone	America/Toronto
Postal	J6N

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Domain Backlinks	156
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‪Daniel Yamins‬ - ‪Google Scholar‬

DLK Yamins, H Hong, CF Cadieu, EA Solomon, D Seibert, JJ DiCarlo. Proceedings of the national academy of sciences 111 (23), 8619-8624, 2014. 1864: 2014: Using goal-driven …

Scholar.google.com

DA: 18 PA: 10 MOZ Rank: 28

Using goal-driven deep learning models to understand …

Feb 23, 2016 A new way forward: goal-driven networks as neural models. The goal-driven approach is inspired by the idea that, whatever parameters are used, a neural network …

Nature.com

DA: 14 PA: 17 MOZ Rank: 32

NeuroAILab - Home

Welcome to the website of the Stanford Neuroscience and Artificial Intelligence Laboratory (NeuroAILab)! Our research lies at intersection of neuroscience, artificial intelligence, …

Neuroailab.stanford.edu

DA: 23 PA: 23 MOZ Rank: 26

How AI and neuroscience drive each other forwards

Jul 24, 2019 In 2018, Yamins and his colleagues performed a similar feat using the auditory cortex, in which they created a deep neural network …

Nature.com

DA: 14 PA: 28 MOZ Rank: 45

Research - Dan Yamins - Stanford University

Research - Dan Yamins. Please visit the NeuroAILab website for an updated description of research. My work is founded on two mutually reinforcing hypotheses: H1. By studying how the brain solves …

Web.stanford.edu

DA: 16 PA: 22 MOZ Rank: 42

Quanta Magazine

Oct 28, 2020 DiCarlo and Yamins, who now runs his own lab at Stanford University, are part of a coterie of neuroscientists using deep neural networks to make sense of the brain’s architecture. In particular, …

Quantamagazine.org

DA: 22 PA: 50 MOZ Rank: 88

Publications - NeuroAILab - Stanford University

Computational Neuroscience & Artificial Intelligence Journal Articles & Conference Proceedings (*, ** = equal contribution) Kunin D, Sagastuy-Brena J, Gillespie L, Margalit …

Neuroailab.stanford.edu

DA: 23 PA: 18 MOZ Rank: 47

Active World Model Learning with Progress Curiosity

Active World Model Learning with Progress Curiosity. Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins. Proceedings of the 37th International Conference …

Proceedings.mlr.press

DA: 21 PA: 17 MOZ Rank: 45

Making a Science of Model Search: Hyperparameter Optimization …

Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures. James Bergstra, Daniel Yamins, David Cox. …

Proceedings.mlr.press

DA: 21 PA: 20 MOZ Rank: 49

A Task-Optimized Neural Network Replicates Human Auditory

May 2, 2018 A core goal of auditory neuroscience is to build quantitative models that predict cortical responses to natural sounds. Reasoning that a complete model of …

Pubmed.ncbi.nlm.nih.gov

DA: 23 PA: 10 MOZ Rank: 42

Performance-optimized hierarchical models predict neural …

May 8, 2014 Moreover, the model’s intermediate layers are highly predictive of neural responses in the V4 cortex, a midlevel visual area that provides the dominant cortical …

Pnas.org

DA: 12 PA: 32 MOZ Rank: 54

Artificial brains are helping scientists study the real thing

May 24, 2023 Daniel Yamins, a neuroscientist at the Massachusetts Institute of Technology ( MIT ), and his colleagues trained an ANN to pick out objects from …

Economist.com

DA: 17 PA: 50 MOZ Rank: 39

Using goal-driven deep learning models to understand sensory …

Fueled by innovation in the computer vision and artificial intelligence communities, recent developments in computational neuroscience have used goal-driven hierarchical …

Pubmed.ncbi.nlm.nih.gov

DA: 23 PA: 10 MOZ Rank: 45

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