Zobrazeno 1 - 10
of 701
pro vyhledávání: '"population codes"'
Autor:
Hahn, Michael A. a, ⁎, Lendner, Janna D. a, b, Anwander, Matthias a, Slama, Katarina S.J. c, Knight, Robert T. c, Lin, Jack J. d, e, Helfrich, Randolph F. a, ⁎
Publikováno v:
In Progress in Neurobiology November 2024 242
Autor:
Blake Bordelon, Cengiz Pehlevan
Publikováno v:
eLife, Vol 11 (2022)
Learning from a limited number of experiences requires suitable inductive biases. To identify how inductive biases are implemented in and shaped by neural codes, we analyze sample-efficient learning of arbitrary stimulus-response maps from arbitrary
Externí odkaz:
https://doaj.org/article/fc8b3d12b3a14d559d0988d87292f53c
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Natural brains perform miraculously well in learning new tasks from a small number of samples, whereas sample efficient learning is still a major open problem in the field of machine learning. Here, we raise the question, how the neural coding scheme
Externí odkaz:
https://doaj.org/article/ded4e44a9c3b413ab6246d5abc13c36d
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Although classical decision-making studies have assumed that subjects behave in a Bayes-optimal way, the sub-optimality that causes biases in decision-making is currently under debate. Here, we propose a synthesis based on exponentially-biased Bayesi
Externí odkaz:
https://doaj.org/article/2119af7b471c4f94b71a995355f49205
Akademický článek
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Publikováno v:
Frontiers in Neural Circuits, Vol 11 (2017)
Cortical neuropil modulations recorded by calcium imaging reflect the activity of large aggregates of axo-dendritic processes and synaptic compartments from a large number of neurons. The organization of this activity impacts neuronal firing but is n
Externí odkaz:
https://doaj.org/article/d631e75c77764ed0a03119f59fe3f4cb
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
Frontiers in Systems Neuroscience, Vol 10 (2016)
Eye movements are essential to primate vision but introduce potentially disruptive displacements of the retinal image. To maintain stable vision, the brain is thought to rely on neurons that carry both visual signals and information about the current
Externí odkaz:
https://doaj.org/article/4d3afd4c94624b07ae1b1fc350cc4bd3
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance We present a theory of neural circuits’ design and function, inspired by the random connectivity of real neural circuits and the mathematical power of random projections. Specifically, we introduce a family of statistical models for la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c470316abb07373df92c4e04b0696b
https://doi.org/10.1073/pnas.1912804117
https://doi.org/10.1073/pnas.1912804117
Publikováno v:
Frontiers in Robotics and AI, Vol 2 (2015)
Visual feature descriptors are essential elements in most computer and robot vision systems. They typically lead to an abstraction of the input data, images or video, for further processing such as clustering and machine learning. In clustering appli
Externí odkaz:
https://doaj.org/article/652b3033441d4f26a72dd8a103f77565