AIMC Topic: Reaction Time

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Human-like behavioral variability blurs the distinction between a human and a machine in a nonverbal Turing test.

Science robotics Jul 27, 2022
Variability is a property of biological systems, and in animals (including humans), behavioral variability is characterized by certain features, such as the range of variability and the shape of its distribution. Nevertheless, only a few studies have...
Robotics Reaction Time Software Animals Humans
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Conceptual alignment in a joint picture-naming task performed with a social robot.

Cognition Jul 5, 2022
In this study we investigated whether people conceptually align when performing a language task together with a robot. In a joint picture-naming task, 24 French native speakers took turns with a robot in naming images of objects belonging to fifteen ...
Humans Semantics Social Interaction Pattern Recognition, Visual Robotics Reaction Time
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Mental speed is high until age 60 as revealed by analysis of over a million participants.

Nature human behaviour Feb 17, 2022
Response speeds in simple decision-making tasks begin to decline from early and middle adulthood. However, response times are not pure measures of mental speed but instead represent the sum of multiple processes. Here we apply a Bayesian diffusion mo...
Cross-Sectional Studies Middle Aged Reaction Time Bayes Theorem Humans Young Adult Neural Networks, Computer Adult
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A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm.

Topics in cognitive science Jan 10, 2022
Many everyday activities are sequential in nature. That is, they can be seen as a sequence of subactions and sometimes subgoals. In the motor execution of sequential action, context effects are observed in which later subactions modulate the executio...
Reaction Time Curriculum Movement Humans Robotics Reinforcement, Psychology
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Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior.

PLoS computational biology Mar 29, 2021
Current dominant views hold that perceptual confidence reflects the probability that a decision is correct. Although these views have enjoyed some empirical support, recent behavioral results indicate that confidence and the probability of being corr...
Perception Inhibition, Psychological Superior Colliculi Macaca mulatta Decision Making Reaction Time Computational Biology Models, Neurological Animals Male Neural Networks, Computer
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Humanoid robots in the care of older persons: A scoping review.

Assistive technology : the official journal of RESNA Mar 5, 2021
The aim was to examine how humanoid robots have been used in the care of older persons and identify possible benefits and challenges associated with such use from older persons' points of view. The study was a scoping review based on Arksey and O'Mal...
Robotics Reaction Time Cognition Disorders Aged Aged, 80 and over Humans
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Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback.

Neural networks : the official journal of the International Neural Network Society Feb 16, 2021
In spiking neural P (SN P) systems, neurons are interconnected by means of synapses, and they use spikes to communicate with each other. However, in biology, the complex structure of dendritic tree is also an important part in the communication schem...
Humans Neural Networks, Computer Synapses Dendrites Action Potentials Reaction Time Feedback Models, Neurological Axons
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Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning.

Scientific reports Dec 17, 2020
In recent years artificial neural networks achieved performance close to or better than humans in several domains: tasks that were previously human prerogatives, such as language processing, have witnessed remarkable improvements in state of the art ...
Models, Theoretical Reaction Time Behavior Adult Male Cognition Reproducibility of Results Young Adult Language Humans Learning Neural Networks, Computer Female
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Reducing Response Time in Motor Imagery Using A Headband and Deep Learning.

Sensors (Basel, Switzerland) Nov 25, 2020
Electroencephalography (EEG) signals to detect motor imagery have been used to help patients with low mobility. However, the regular brain computer interfaces (BCI) capturing the EEG signals usually require intrusive devices and cables linked to mach...
Electroencephalography Reaction Time Brain-Computer Interfaces Deep Learning Humans Wearable Electronic Devices Algorithms
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Combining convolutional neural networks and cognitive models to predict novel object recognition in humans.

Journal of experimental psychology. Learning, memory, and cognition Nov 5, 2020
Object representations from convolutional neural network (CNN) models of computer vision (LeCun, Bengio, & Hinton, 2015) were used to drive a cognitive model of decision making, the linear ballistic accumulator (LBA) model (Brown & Heathcote, 2008), ...
Models, Psychological Humans Visual Perception Recognition, Psychology Neural Networks, Computer Cognition Reaction Time
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