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Understanding the Computational Demands Underlying Visual Reasoning.

Neural computation
Visual understanding requires comprehending complex visual relations between objects within a scene. Here, we seek to characterize the computational demands for abstract visual reasoning. We do this by systematically assessing the ability of modern d...

AI, visual imagery, and a case study on the challenges posed by human intelligence tests.

Proceedings of the National Academy of Sciences of the United States of America
Observations abound about the power of visual imagery in human intelligence, from how Nobel prize-winning physicists make their discoveries to how children understand bedtime stories. These observations raise an important question for cognitive scien...

Verbal analogy problem sets: An inventory of testing materials.

Behavior research methods
Analogical reasoning is an active topic of investigation across education, artificial intelligence (AI), cognitive psychology, and related fields. In all fields of inquiry, explicit analogy problems provide useful tools for investigating the mechanis...

An evaluation of scanpath-comparison and machine-learning classification algorithms used to study the dynamics of analogy making.

Behavior research methods
In recent years, eyetracking has begun to be used to study the dynamics of analogy making. Numerous scanpath-comparison algorithms and machine-learning techniques are available that can be applied to the raw eyetracking data. We show how scanpath-com...

An analysis of a digital variant of the Trail Making Test using machine learning techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The goal of this work is to develop a digital version of a standard cognitive assessment, the Trail Making Test (TMT), and assess its utility.

A universal concept based on cellular neural networks for ultrafast and flexible solving of differential equations.

IEEE transactions on neural networks and learning systems
This paper develops and validates a comprehensive and universally applicable computational concept for solving nonlinear differential equations (NDEs) through a neurocomputing concept based on cellular neural networks (CNNs). High-precision, stabilit...