Results 31 to 40 of about 483,558 (265)
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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Outcome contingency selectively affects the neural coding of outcomes but not of tasks [PDF]
, 2019 Value-based decision-making is ubiquitous in every-day life, and critically depends on the contingency between choices and their outcomes. Only if outcomes are contingent on our choices can we make meaningful value-based decisions.
Brass, Marcel +2 more
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Frontiers in Neuroscience, 2018 Motor cortical microcircuits receive inputs from dispersed cortical and subcortical regions in behaving animals. However, how these inputs contribute to learning and execution of voluntary sequential motor behaviors remains elusive. Here, we analyzed the
Gonzalo Martín-Vázquez +6 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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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 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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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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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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Causative role of left aIPS in coding shared goals during human-avatar complementary joint actions [PDF]
, 2015 Successful motor interactions require agents to anticipate what a partner is doing in order to predictively adjust their own movements. Although the neural underpinnings of the ability to predict others' action goals have been well explored during ...
Aglioti, Salvatore Maria +3 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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