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Literature DB >> 31341311

How AI and neuroscience drive each other forwards.

Neil Savage.

Abstract

Entities: Chemical

Keywords: Brain; Computer science; Information technology; Neuroscience

Mesh：

Year: 2019 PMID： 31341311 DOI： 10.1038/d41586-019-02212-4

Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962

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2 in total

1. Performance-optimized hierarchical models predict neural responses in higher visual cortex.

Authors: Daniel L K Yamins; Ha Hong; Charles F Cadieu; Ethan A Solomon; Darren Seibert; James J DiCarlo
Journal: Proc Natl Acad Sci U S A Date: 2014-05-08 Impact factor: 11.205

2. A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy.

Authors: Alexander J E Kell; Daniel L K Yamins; Erica N Shook; Sam V Norman-Haignere; Josh H McDermott
Journal: Neuron Date: 2018-04-19 Impact factor: 17.173

2 in total

9 in total

1. A survey of brain network analysis by electroencephalographic signals.

Authors: Cuihua Luo; Fali Li; Peiyang Li; Chanlin Yi; Chunbo Li; Qin Tao; Xiabing Zhang; Yajing Si; Dezhong Yao; Gang Yin; Pengyun Song; Huazhang Wang; Peng Xu
Journal: Cogn Neurodyn Date: 2021-06-14 Impact factor: 5.082

Review 2. Navigating the Statistical Minefield of Model Selection and Clustering in Neuroscience.

Authors: Bálint Király; Balázs Hangya
Journal: eNeuro Date: 2022-07-14

Review 3. Artificial intelligence: A rapid case for advancement in the personalization of Gynaecology/Obstetric and Mental Health care.

Authors: Gayathri Delanerolle; Xuzhi Yang; Suchith Shetty; Vanessa Raymont; Ashish Shetty; Peter Phiri; Dharani K Hapangama; Nicola Tempest; Kingshuk Majumder; Jian Qing Shi
Journal: Womens Health (Lond) Date: 2021 Jan-Dec

Review 9. Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior.

Authors: Célia Loriette; Julian L Amengual; Suliann Ben Hamed
Journal: Front Neurosci Date: 2022-09-08 Impact factor: 5.152

9 in total

How AI and neuroscience drive each other forwards.

1. Performance-optimized hierarchical models predict neural responses in higher visual cortex.

2. A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy.

1. A survey of brain network analysis by electroencephalographic signals.

Review 2. Navigating the Statistical Minefield of Model Selection and Clustering in Neuroscience.

Review 3. Artificial intelligence: A rapid case for advancement in the personalization of Gynaecology/Obstetric and Mental Health care.

Review 4. Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.

Review 5. Artificial intelligence for clinical decision support in neurology.

Review 6. Artificial Intelligence Is Stupid and Causal Reasoning Will Not Fix It.

Review 7. Graph Neural Networks as a Potential Tool in Improving Virtual Screening Programs.

Review 8. Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review.

Review 9. Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior.