Výsledky vyhledávání - "Blohm, Gunnar"

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History-dependence shapes causal inference of brain-behaviour relationships

Behavioural and neural time series are often correlated with the past. This history-dependence may represent a fundamental property of the measured variables, or may arise from how confounding variables change over time. Here we argue that undecidabi

Externí odkaz: http://arxiv.org/abs/2403.00947

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Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists

Autor: Blohm, Gunnar, Peters, Benjamin, Haefner, Ralf, Isik, Leyla, Kriegeskorte, Nikolaus, Lieberman, Jennifer S., Ponce, Carlos R., Roig, Gemma, Peters, Megan A. K.

Generative adversarial collaborations (GACs) are a form of formal teamwork between groups of scientists with diverging views. The goal of GACs is to identify and ultimately resolve the most important challenges, controversies, and exciting theoretica

Externí odkaz: http://arxiv.org/abs/2402.12604

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Neuromatch Academy: Teaching Computational Neuroscience with global accessibility

Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, act

Externí odkaz: http://arxiv.org/abs/2012.08973

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MoVi: A Large Multipurpose Motion and Video Dataset

Autor: Ghorbani, Saeed, Mahdaviani, Kimia, Thaler, Anne, Kording, Konrad, Cook, Douglas James, Blohm, Gunnar, Troje, Nikolaus F.

Human movements are both an area of intense study and the basis of many applications such as character animation. For many applications, it is crucial to identify movements from videos or analyze datasets of movements. Here we introduce a new human M

Externí odkaz: http://arxiv.org/abs/2003.01888

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Appreciating the variety of goals in computational neuroscience

Autor: Kording, Konrad P., Blohm, Gunnar, Schrater, Paul, Kay, Kendrick

Within computational neuroscience, informal interactions with modelers often reveal wildly divergent goals. In this opinion piece, we explicitly address the diversity of goals that motivate and ultimately influence modeling efforts. We argue that a w

Externí odkaz: http://arxiv.org/abs/2002.03211

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Movement science needs different pose tracking algorithms

Autor: Seethapathi, Nidhi, Wang, Shaofei, Saluja, Rachit, Blohm, Gunnar, Kording, Konrad P.

Over the last decade, computer science has made progress towards extracting body pose from single camera photographs or videos. This promises to enable movement science to detect disease, quantify movement performance, and take the science out of the

Externí odkaz: http://arxiv.org/abs/1907.10226

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