AIMC Topic: Neurosciences

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Trends in genetics : TIG Jan 4, 2021
Artificial Intelligence Technology Female Humans Neurosciences Engineering Gender Role Male India
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If deep learning is the answer, what is the question?

Nature reviews. Neuroscience Nov 16, 2020
Neuroscience research is undergoing a minor revolution. Recent advances in machine learning and artificial intelligence research have opened up new ways of thinking about neural computation. Many researchers are excited by the possibility that deep n...
Neurosciences Humans Brain Deep Learning Neural Networks, Computer
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Deep Reinforcement Learning and Its Neuroscientific Implications.

Neuron Jul 13, 2020
The emergence of powerful artificial intelligence (AI) is defining new research directions in neuroscience. To date, this research has focused largely on deep neural networks trained using supervised learning in tasks such as image classification. Ho...
Neural Networks, Computer Algorithms Neurosciences Decision Making Models, Psychological Deep Learning Reinforcement, Psychology Models, Neurological
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A technical review of canonical correlation analysis for neuroscience applications.

Human brain mapping Jun 27, 2020
Collecting comprehensive data sets of the same subject has become a standard in neuroscience research and uncovering multivariate relationships among collected data sets have gained significant attentions in recent years. Canonical correlation analys...
Brain Image Processing, Computer-Assisted Models, Theoretical Humans Machine Learning Canonical Correlation Analysis Neuroimaging Neurosciences
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Social Cognition in the Age of Human-Robot Interaction.

Trends in neurosciences Apr 30, 2020
Artificial intelligence advances have led to robots endowed with increasingly sophisticated social abilities. These machines speak to our innate desire to perceive social cues in the environment, as well as the promise of robots enhancing our daily l...
Humans Artificial Intelligence Robotics Neuroimaging Cognition Neurosciences Social Cognition
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Multiple-target tracking in human and machine vision.

PLoS computational biology Apr 9, 2020
Humans are able to track multiple objects at any given time in their daily activities-for example, we can drive a car while monitoring obstacles, pedestrians, and other vehicles. Several past studies have examined how humans track targets simultaneou...
Memory Neurosciences Video Recording Vision, Ocular Brain Animals Cognition Humans Artificial Intelligence Motion Image Processing, Computer-Assisted Algorithms
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Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.

NeuroImage Apr 8, 2020
The 21st century marks the emergence of "big data" with a rapid increase in the availability of datasets with multiple measurements. In neuroscience, brain-imaging datasets are more commonly accompanied by dozens or hundreds of phenotypic subject des...
Machine Learning Big Data Neuroimaging Neurosciences Models, Statistical Humans
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Before and beyond the Wilson-Cowan equations.

Journal of neurophysiology Mar 18, 2020
The Wilson-Cowan equations represent a landmark in the history of computational neuroscience. Along with the insights Wilson and Cowan offered for neuroscience, they crystallized an approach to modeling neural dynamics and brain function. Although th...
Models, Theoretical Humans Neurons Neural Networks, Computer Neurosciences Brain Animals
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Tensors and compositionality in neural systems.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Dec 16, 2019
Neither neurobiological nor process models of meaning composition specify the operator through which constituent parts are bound together into compositional structures. In this paper, we argue that a neurophysiological computation system cannot achie...
Neurosciences Young Adult Computer Simulation Adult Humans Adolescent Male Language Concept Formation Artificial Intelligence Female
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Hierarchical motor control in mammals and machines.

Nature communications Dec 2, 2019
Advances in artificial intelligence are stimulating interest in neuroscience. However, most attention is given to discrete tasks with simple action spaces, such as board games and classic video games. Less discussed in neuroscience are parallel advan...
Artificial Intelligence Animals Deep Learning Humans Neurosciences Mammals Motor Activity
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