AIMC Topic: Neurosciences
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Deep learning improves automated rodent behavior recognition within a specific experimental setup.
Journal of neuroscience methods
Nov 30, 2019
Automated observation and analysis of rodent behavior is important to facilitate research progress in neuroscience and pharmacology. Available automated systems lack adaptivity and can benefit from advances in AI. In this work we compare a state-of-t...
Deep learning tools for the measurement of animal behavior in neuroscience.
Current opinion in neurobiology
Nov 29, 2019
Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality. In the past years powerful tools specifically designed to aid the measurement of behavior have come to fruition. Here we discuss how capt...
Using machine learning to explain the heterogeneity of schizophrenia. Realizing the promise and avoiding the hype.
Schizophrenia research
Sep 6, 2019
Despite extensive research and prodigious advances in neuroscience, our comprehension of the nature of schizophrenia remains rudimentary. Our failure to make progress is attributed to the extreme heterogeneity of this condition, enormous complexity o...
Utilizing supervised machine learning to identify microglia and astrocytes in situ: implications for large-scale image analysis and quantification.
Journal of neuroscience methods
Sep 5, 2019
BACKGROUND: The evaluation of histological tissue samples plays a crucial role in deciphering preclinical disease and injury mechanisms. High-resolution images can be obtained quickly however data acquisition are often bottlenecked by manual analysis...
An automatic behavior recognition system classifies animal behaviors using movements and their temporal context.
Journal of neuroscience methods
Aug 12, 2019
Animals can perform complex and purposeful behaviors by executing simpler movements in flexible sequences. It is particularly challenging to analyze behavior sequences when they are highly variable, as is the case in language production, certain type...
Computational Intelligence and Neuroscience in Neurorobotics.
Computational intelligence and neuroscience
Jul 1, 2019
DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning.
Journal of neuroscience methods
Jun 6, 2019
BACKGROUND: A prerequisite for many eye tracking and video-oculography (VOG) methods is an accurate localization of the pupil. Several existing techniques face challenges in images with artifacts and under naturalistic low-light conditions, e.g. with...
Computational approaches and machine learning for individual-level treatment predictions.
Psychopharmacology
May 27, 2019
RATIONALE: The impact of neuroscience-based approaches for psychiatry on pragmatic clinical decision-making has been limited. Although neuroscience has provided insights into basic mechanisms of neural function, these insights have not improved the a...
Knowledge development, technology and questions of nursing ethics.
Nursing ethics
Apr 28, 2019
This article explores emerging ethical questions that result from knowledge development in a complex, technological age. Nursing practice is at a critical ideological and ethical precipice where decision-making is enhanced and burdened by new ways of...
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