Representational spaces in orbitofrontal and ventromedial prefrontal cortex: task states, values, and beyond
The orbitofrontal cortex (OFC) and ventromedial-prefrontal cortex (vmPFC) play a key role in
decision-making and encode task states in addition to expected value. We review evidence …
decision-making and encode task states in addition to expected value. We review evidence …
Quantum-inspired neural network model of optical illusions
IS Maksymov - Algorithms, 2024 - mdpi.com
Ambiguous optical illusions have been a paradigmatic object of fascination, research and
inspiration in arts, psychology and video games. However, accurate computational models …
inspiration in arts, psychology and video games. However, accurate computational models …
[HTML][HTML] Quantum-tunneling deep neural network for optical illusion recognition
IS Maksymov - APL Machine Learning, 2024 - pubs.aip.org
The discovery of the quantum tunneling (QT) effect—the transmission of particles through a
high potential barrier—was one of the most impressive achievements of quantum mechanics …
high potential barrier—was one of the most impressive achievements of quantum mechanics …
Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts
Active reinforcement learning enables dynamic prediction and control, where one should not
only maximize rewards but also minimize costs such as of inference, decisions, actions, and …
only maximize rewards but also minimize costs such as of inference, decisions, actions, and …
Quantum-tunnelling deep neural networks for sociophysical neuromorphic AI
IS Maksymov - arXiv preprint arXiv:2407.11013, 2024 - arxiv.org
The discovery of the quantum tunnelling effect--the transmission of particles through a high
potential barrier--was one of the most impressive achievements of quantum mechanics …
potential barrier--was one of the most impressive achievements of quantum mechanics …
[HTML][HTML] Novel Approach to Personalized Physician Recommendations Using Semantic Features and Response Metrics: Model Evaluation Study
Y Zheng, Y Cai, Y Yan, S Chen… - JMIR Human …, 2024 - humanfactors.jmir.org
Background: The rapid growth of web-based medical services has highlighted the
significance of smart triage systems in helping patients find the most appropriate physicians …
significance of smart triage systems in helping patients find the most appropriate physicians …
Inverting cognitive models with neural networks to infer preferences from fixations
Inferring an individual's preferences from their observable behavior is a key step in the
development of assistive decision‐making technology. Although machine learning models …
development of assistive decision‐making technology. Although machine learning models …
Modeling Human Strategy for Flattening Wrinkled Cloth Using Neural Networks
This paper explores a novel approach to model strategies for flattening wrinkled cloth
learning from humans. A human participant study was conducted where the participants …
learning from humans. A human participant study was conducted where the participants …
From DDMs to DNNs: Using process data and models of decision making to improve human-AI interactions.
Over the past decades, cognitive neuroscientists and behavioral economists have
recognized the value of describing the process of decision making in detail and modeling …
recognized the value of describing the process of decision making in detail and modeling …
[HTML][HTML] Perceptual Expertise and Attention: An Exploration using Deep Neural Networks
Perceptual expertise and attention are two important factors that enable superior object
recognition and task performance. While expertise enhances knowledge and provides a …
recognition and task performance. While expertise enhances knowledge and provides a …