AIMC Topic: Reaction Time
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Exploring semantic grounding in the posterior parietal cortex.
Brain structure & function
Jun 26, 2025
This study examines the evolving perspective on semantic processing, which has shifted from the traditional view of an isolated semantic memory system to one that recognizes the involvement of dynamic, distributed neural networks. Recent evidence sup...
Behavioural and EEG correlates of forward and backward priming-An exploratory study.
PloS one
May 8, 2025
During affective priming, perception of an emotional "prime stimulus" influences the reaction time to the subsequent emotional "target stimulus". If prime and target have the same valence (congruent trials), reactions to the target are faster than if...
Effect of Uncertainty-Aware AI Models on Pharmacists' Reaction Time and Decision-Making in a Web-Based Mock Medication Verification Task: Randomized Controlled Trial.
JMIR medical informatics
Apr 18, 2025
BACKGROUND: Artificial intelligence (AI)-based clinical decision support systems are increasingly used in health care. Uncertainty-aware AI presents the model's confidence in its decision alongside its prediction, whereas black-box AI only provides a...
ABR-Attention: An Attention-Based Model for Precisely Localizing Auditory Brainstem Response.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 5, 2024
Auditory Brainstem Response (ABR) is an evoked potential in the brainstem's neural centers in response to sound stimuli. Clinically, characteristic waves, especially Wave V latency, extracted from ABR can objectively indicate auditory loss and diagno...
Exploring driving behavioral characteristics in pre-, in-, and post-conflict stages based on car-following trajectory data.
Ergonomics
Aug 7, 2024
This study investigates driving behaviour in different stages of rear-end conflicts using vehicle trajectory data. Three conflict stages (pre-, in-, and post-conflict) are defined based on time-to-collision (TTC) indicator. Four indexes are selected ...
The neural network RTNet exhibits the signatures of human perceptual decision-making.
Nature human behaviour
Jul 12, 2024
Convolutional neural networks show promise as models of biological vision. However, their decision behaviour, including the facts that they are deterministic and use equal numbers of computations for easy and difficult stimuli, differs markedly from ...
Microsaccade-inspired event camera for robotics.
Science robotics
May 29, 2024
Neuromorphic vision sensors or event cameras have made the visual perception of extremely low reaction time possible, opening new avenues for high-dynamic robotics applications. These event cameras' output is dependent on both motion and texture. How...
A neurocomputational model of decision and confidence in object recognition task.
Neural networks : the official journal of the International Neural Network Society
Apr 12, 2024
How does the brain process natural visual stimuli to make a decision? Imagine driving through fog. An object looms ahead. What do you do? This decision requires not only identifying the object but also choosing an action based on your decision confid...
A fully spiking coupled model of a deep neural network and a recurrent attractor explains dynamics of decision making in an object recognition task.
Journal of neural engineering
Mar 20, 2024
Object recognition and making a choice regarding the recognized object is pivotal for most animals. This process in the brain contains information representation and decision making steps which both take different amount of times for different object...
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