Results 31 to 40 of about 180,626 (262)
Characterization of multiscale logic operations in the neural circuits
Frontiers in Bioscience-Landmark, 2021 Background: Ever since the seminal work by McCulloch and Pitts, the theory of neural computation and its philosophical foundation known as ‘computationalism’ have been central to brain-inspired artificial intelligence (AI) technologies. The present study
JunHyuk Woo +4 more
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A general decoding strategy explains the relationship between behavior and correlated variability
eLife, 2022 Improvements in perception are frequently accompanied by decreases in correlated variability in sensory cortex. This relationship is puzzling because overall changes in correlated variability should minimally affect optimal information coding.
Amy M Ni +3 more
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Rational thoughts in neural codes [PDF]
Proceedings of the National Academy of Sciences, 2019 Complex behaviors are often driven by an internal model, which integrates sensory information over time and facilitates long-term planning to reach subjective goals. A fundamental challenge in neuroscience is, How can we use behavior and neural activity to understand this internal model and its dynamic latent variables?
Wu, Zhengwei +4 more
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Discovering Higher-Order Interactions Through Neural Information Decomposition
Entropy, 2021 If regularity in data takes the form of higher-order functions among groups of variables, models which are biased towards lower-order functions may easily mistake the data for noise.
Kyle Reing +2 more
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Neural codes and the factor complex
Advances in Applied Mathematics, 2020 We introduce the factor complex of a neural code, and show how intervals and maximal codewords are captured by the combinatorics of factor complexes. We use these results to obtain algebraic and combinatorial characterizations of max-intersection-complete codes, as well as a new combinatorial characterization of intersection-complete codes.
Alexander Ruys de Perez +2 more
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Neural Processing of Naturalistic Echolocation Signals in Bats
Frontiers in Neural Circuits, 2022 Echolocation behavior, a navigation strategy based on acoustic signals, allows scientists to explore neural processing of behaviorally relevant stimuli.
M. Jerome Beetz, Julio C. Hechavarría
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Neural Elements for Predictive Coding
Frontiers in Psychology, 2016 Predictive coding theories of sensory brain function interpret the hierarchical construction of the cerebral cortex as a Bayesian, generative model capable of predicting the sensory data consistent with any given percept. Predictions are fed backwards in
Stewart SHIPP, Stewart SHIPP
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Frontiers in Psychology, 2022 Non-human animals tend to solve behavioral tasks using local information. Pigeons are particularly biased toward using the local features of stimuli to guide behavior in small-scale environments.
William Clark, Michael Colombo
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Lessons From Deep Neural Networks for Studying the Coding Principles of Biological Neural Networks
Frontiers in Systems Neuroscience, 2021 One of the central goals in systems neuroscience is to understand how information is encoded in the brain, and the standard approach is to identify the relation between a stimulus and a neural response.
Hyojin Bae +2 more
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Correlation and Independence in the Neural Code
Neural Computation, 2006 The decoding scheme of a stimulus can be different from the stochastic encoding scheme in the neural population coding. The stochastic fluctuations are not independent in general, but an independent version could be used for the ease of decoding. How much information is lost by using this unfaithful model for decoding? There are discussions concerning
Shun-ichi Amari, Hiroyuki Nakahara
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