Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
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Title
Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
Authors
Keywords
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Journal
Frontiers in Neuroscience
Volume 13, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-12-13
DOI
10.3389/fnins.2019.01346
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Note: Only part of the references are listed.- Explainable artificial intelligence for breast cancer: a visual case-based reasoning approach
- (2019) Jean-Baptiste Lamy et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
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- (2019) Somayyeh Soltanian-Zadeh et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
- (2019) Linxing Jiang et al. Scientific Reports
- DARPA’s Explainable Artificial Intelligence (XAI) Program
- (2019) David Gunning et al. AI MAGAZINE
- From genetics to biology: advancing mental health research in the Genomics ERA
- (2019) P. Alexander Arguello et al. MOLECULAR PSYCHIATRY
- High-dimensional geometry of population responses in visual cortex
- (2019) Carsen Stringer et al. NATURE
- Sensor Modalities for Brain-Computer Interface Technology: A Comprehensive Literature Review
- (2019) Michael L Martini et al. NEUROSURGERY
- A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop
- (2019) Curtis P. Langlotz et al. RADIOLOGY
- Meeting Report: Can We Make Animal Models of Human Mental Illness?
- (2018) Lisa M. Monteggia et al. BIOLOGICAL PSYCHIATRY
- Toward true closed-loop neuromodulation: artifact-free recording during stimulation
- (2018) Andy Zhou et al. CURRENT OPINION IN NEUROBIOLOGY
- Visual Analytics for Explainable Deep Learning
- (2018) Jaegul Choo et al. IEEE COMPUTER GRAPHICS AND APPLICATIONS
- A Shared Vision for Machine Learning in Neuroscience
- (2018) Mai-Anh T. Vu et al. JOURNAL OF NEUROSCIENCE
- Computational psychiatry: a report from the 2017 NIMH workshop on opportunities and challenges
- (2018) Michele Ferrante et al. MOLECULAR PSYCHIATRY
- Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery
- (2018) Reuben R Shamir et al. NEUROSURGERY
- Community-based benchmarking improves spike rate inference from two-photon calcium imaging data
- (2018) Philipp Berens et al. PLoS Computational Biology
- A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation
- (2018) Yuxiao Yang et al. Journal of Neural Engineering
- Vector-based navigation using grid-like representations in artificial agents
- (2018) Andrea Banino et al. NATURE
- Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)
- (2018) Amina Adadi et al. IEEE Access
- Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation
- (2018) Jinyoung Kim et al. HUMAN BRAIN MAPPING
- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Explanation in artificial intelligence: Insights from the social sciences
- (2018) Tim Miller ARTIFICIAL INTELLIGENCE
- A cognitive prosthesis for memory facilitation by closed-loop functional ensemble stimulation of hippocampal neurons in primate brain
- (2017) Sam A. Deadwyler et al. EXPERIMENTAL NEUROLOGY
- Cortical Brain–Computer Interface for Closed-Loop Deep Brain Stimulation
- (2017) Jeffrey A. Herron et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Interfacing to the brain’s motor decisions
- (2017) Giovanni Mirabella et al. JOURNAL OF NEUROPHYSIOLOGY
- Brain-Based Biomarkers for the Treatment of Depression: Evolution of an Idea
- (2017) Allison C. Waters et al. JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY
- Improving voltage-sensitive dye imaging: with a little help from computational approaches
- (2017) Sandrine Chemla et al. Neurophotonics
- The NIMH Research Domain Criteria Initiative: Background, Issues, and Pragmatics
- (2016) Michael J. Kozak et al. PSYCHOPHYSIOLOGY
- Premotor and Motor Cortices Encode Reward
- (2016) Pavan Ramkumar et al. PLoS One
- Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning
- (2015) B. T. Marsh et al. JOURNAL OF NEUROSCIENCE
- Supersparse linear integer models for optimized medical scoring systems
- (2015) Berk Ustun et al. MACHINE LEARNING
- The point of no return in vetoing self-initiated movements
- (2015) Matthias Schultze-Kraft et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Contrasting network and modular perspectives on inhibitory control
- (2015) Adam Hampshire et al. TRENDS IN COGNITIVE SCIENCES
- Building an organic computing device with multiple interconnected brains
- (2015) Miguel Pais-Vieira et al. Scientific Reports
- A cognitive neuroprosthetic that uses cortical stimulation for somatosensory feedback
- (2014) Christian Klaes et al. Journal of Neural Engineering
- Prototype selection for interpretable classification
- (2011) Jacob Bien et al. Annals of Applied Statistics
- Virtual Active Touch Using Randomly Patterned Intracortical Microstimulation
- (2011) J. E. O'Doherty et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- A Symbiotic Brain-Machine Interface through Value-Based Decision Making
- (2011) Babak Mahmoudi et al. PLoS One
- Deep Brain Stimulation for Intractable Psychiatric Disorders
- (2010) Wayne K. Goodman et al. Annual Review of Medicine
- The Science of Neural Interface Systems
- (2009) Nicholas G. Hatsopoulos et al. Annual Review of Neuroscience
- Cognitive Neural Prosthetics
- (2009) Richard A. Andersen et al. Annual Review of Psychology
- Extent of publication bias in different categories of research cohorts: a meta-analysis of empirical studies
- (2009) Fujian Song et al. BMC Medical Research Methodology
- Supervised learning with decision tree-based methods in computational and systems biology
- (2009) Pierre Geurts et al. Molecular BioSystems
- Principles of neural ensemble physiology underlying the operation of brain–machine interfaces
- (2009) Miguel A. L. Nicolelis et al. NATURE REVIEWS NEUROSCIENCE
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