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This perspective piece is the result of a Generative Adversarial Collaboration (GAC) tackling the question `How does neural activity represent probability distributions?'. We have addressed three major obstacles to progress on answering this question
Externí odkaz:
http://arxiv.org/abs/2409.02709
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
Autor:
Peters, Benjamin, DiCarlo, James J., Gureckis, Todd, Haefner, Ralf, Isik, Leyla, Tenenbaum, Joshua, Konkle, Talia, Naselaris, Thomas, Stachenfeld, Kimberly, Tavares, Zenna, Tsao, Doris, Yildirim, Ilker, Kriegeskorte, Nikolaus
Vision is widely understood as an inference problem. However, two contrasting conceptions of the inference process have each been influential in research on biological vision as well as the engineering of machine vision. The first emphasizes bottom-u
Externí odkaz:
http://arxiv.org/abs/2401.06005
Sampling and Variational Inference (VI) are two large families of methods for approximate inference that have complementary strengths. Sampling methods excel at approximating arbitrary probability distributions, but can be inefficient. VI methods are
Externí odkaz:
http://arxiv.org/abs/2110.09618
Sensory processing is often characterized as implementing probabilistic inference: networks of neurons compute posterior beliefs over unobserved causes given the sensory inputs. How these beliefs are computed and represented by neural responses is mu
Externí odkaz:
http://arxiv.org/abs/1811.09739
Autor:
Haefner, Ralf M.
Recently we have presented the analytical relationship between choice probabilities, noise correlations and read-out weights in the classical feedforward decision-making framework (Haefner et al. 2013). The derivation assumed that behavioral reports
Externí odkaz:
http://arxiv.org/abs/1501.03173
This paper addresses two main challenges facing systems neuroscience today: understanding the nature and function of a) cortical feedback between sensory areas and b) correlated variability. Starting from the old idea of perception as probabilistic i
Externí odkaz:
http://arxiv.org/abs/1409.0257
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Autor:
Lange, Richard D.1,2 (AUTHOR) lange.richard.d@gmail.com, Haefner, Ralf M.1,2 (AUTHOR) lange.richard.d@gmail.com
Publikováno v:
PLoS Computational Biology. 3/8/2022, Vol. 18 Issue 3, p1-39. 39p. 3 Diagrams, 3 Graphs.
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