advances in neural information processing systems 24 (Curran Associates Inc)
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advances in neural information processing systems 24
Advances In Neural Information Processing Systems 24, supplied by Curran Associates Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
Advances In Neural Information Processing Systems 24, supplied by Curran Associates Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/advances+in+neural+information+processing+systems+24/advances+in+neural+information+processing+systems+32/pmc11654703__sciadv__adl4743_sm-704-26-31
Average 90 stars, based on 1 article reviews
advances in neural information processing systems 24 - by Bioz Stars,
2026-09
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other:Article Title: Interpretable conservation law estimation by deriving the symmetries of dynamics from trained deep neural networks Article Snippet: [18] S. Rifai, Y. N. Dauphin, P. Vincent, Y. Bengio, and X. Muller, in Advances in Article Title: Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving Article Snippet: The design of high-level decision-making systems is a topical problem in the field of autonomous driving.. In this paper, we combine traditional rule-based strategies and reinforcement learning (RL) with the goal of achieving transparency and robustness.. On the one hand, the use of handcrafted rule-based controllers allows for transparency, i.e., it is always possible to determine why a given decision was made, but they struggle to scale to complex driving scenarios, in which several objectives need to be considered. Article Title: Noise-sustained patterns in a model of volume-coupled neural tissue. Article Snippet: Noise-sustained patterns in a model of volume-coupled neural tissue A. Yu.. Verisokin, D. V. Verveyko, E. A. Kuryshovav, and D. E. Postnov Citation: Chaos 28, 106326 (2018); doi: 10.1063/1.5039854 View online: https://doi.org/10.1063/1.5039854 View Table of Contents: http://aip.scitation.org/toc/cha/28/10 Published by the American Institute of Physics Noise-sustained patterns in a model of volume-coupled neural tissue A. Yu.. Verisokin,1,a) D. V. Verveyko,1,b) E. A. Kuryshovav,2,c) and D. E. Postnov2,d) 1Department of Theoretical Physics, Kursk State University, Radishcheva st., 33, 305000 Kursk, Russia 2Saratov State University, Astrakhanskaya st., 83, 410012 Saratov, Russia (Received 11 May 2018; accepted 17 August 2018; published online 25 October 2018) Computational neuroscience operates on models based on several important paradigms. Article Title: Inferring context-dependent computations through linear approximations of prefrontal cortex dynamics Article Snippet: J. H. Article Title: Model-Free Temporal-Difference Learning and Dopamine in Alcohol Dependence: Examining Concepts From Theory and Animals in Human Imaging. Article Snippet: Dopamine potentially unites two important roles: one in addiction, being involved in most substances of abuse including alcohol, and a second one in a specific type of learning, namely model-free temporal-difference reinforcement learning.. Theories of addiction have long suggested that drugs of abuse may usurp dopamine’s role in learning.. We here briefly review the preclinical literature to motivate specific hypotheses about model-free temporal-difference learning, and then review the imaging evidence in the drug of abuse with the most substantial societal consequences: alcohol. Article Title: Inferring context-dependent computations through linear approximations of prefrontal cortex dynamics. Article Snippet: J. h. Article Title: Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis. Article Snippet: Background and objectives: Pneumonia is a disease that affects the lungs, making breathing difficult.. Nowadays, pneumonia is the disease that kills the most children under the age of five in the world, and if no action is taken, pneumonia is estimated to kill 11 million children by the year 2030.. Knowing that rapid and accurate diagnosis of pneumonia is a significant factor in reducing mortality, acceleration, or automation of the diagnostic process is highly desirable. |