Results 41 to 50 of about 3,148,089 (334)
Three conceptual clarifications about syntax and the brain
Frontiers in Language Sciences, 2023 Linguistic theories offer empirical hypotheses about the architecture of human language, which provide the basis for neurobiological investigations into the study of language use.
Cas W. Coopmans +2 more
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Axioms, 2021 This paper presents and compares the optimal solutions and the theoretical and empirical best Lipschitz constants between an aggregation function and associated idempotized aggregation function.
Hui-Chin Tang, Wei-Ting Chen
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Cortical response states for enhanced sensory discrimination
eLife, 2017 Brain activity during wakefulness is characterized by rapid fluctuations in neuronal responses. Whether these fluctuations play any role in modulating the accuracy of behavioral responses is poorly understood.
Diego A Gutnisky +3 more
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Network Modeling of Murine Lymphatic System
Algorithms, 2023 Animal models of diseases, particularly mice, are considered to be the cornerstone for translational research in immunology. The aim of the present study is to model the geometry and analyze the network structure of the murine lymphatic system (LS).
Dmitry Grebennikov +4 more
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Compute-in-Memory for Numerical Computations
Micromachines, 2022 In recent years, compute-in-memory (CIM) has been extensively studied to improve the energy efficiency of computing by reducing data movement. At present, CIM is frequently used in data-intensive computing. Data-intensive computing applications, such as all kinds of neural networks (NNs) in machine learning (ML), are regarded as ‘soft’ computing tasks.
Dongyan Zhao +11 more
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On the dimensionality of odor space
eLife, 2015 There is great interest in understanding human olfactory experience from a principled and quantitative standpoint. The comparison is often made to color vision, where a solid framework with a three-dimensional perceptual space enabled a rigorous search ...
Markus Meister
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Frontiers in Neuroscience, 2023 While there is an abundance of research on neural networks that are “inspired” by the brain, few mimic the critical temporal compute features that allow the brain to efficiently perform complex computations.
Bill Zivasatienraj, W. Alan Doolittle
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Federated Learning via Over-the-Air Computation [PDF]
IEEE Transactions on Wireless Communications, 2018 The stringent requirements for low-latency and privacy of the emerging high-stake applications with intelligent devices such as drones and smart vehicles make the cloud computing inapplicable in these scenarios.
Kai Yang +3 more
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Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits
eLife, 2015 Cortical neurons integrate thousands of synaptic inputs in their dendrites in highly nonlinear ways. It is unknown how these dendritic nonlinearities in individual cells contribute to computations at the level of neural circuits.
Balázs B Ujfalussy +3 more
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Money as a computational machine
Finance and Society, 2022 This article presents a speculative philosophical account of money as a computational machine. It does so by leveraging a computational and machinic framework, drawing primarily from the work of Philip Mirowski and Jean Cartelier. The argument is focused
Inigo Wilkins, Bogdan Dragos
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