Article
Neurosciences
Sridhar R. Jagannathan, Corinne A. Bareham, Tristan A. Bekinschtein
Summary: This study used EEG and behavioral modeling to examine the cognitive and neural dynamics of decision-making in awake and low-alertness states in humans. The results showed that during periods of low alertness, reaction times were slower, attention to the left side of space decreased, and the rate of evidence accumulation was lower. Additionally, there was a delay in the neural signatures distinguishing between left and right decisions and a spatial reconfiguration of neural activity. These findings reveal the mechanisms of cognitive resilience in the face of decreased alertness.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Biology
Javier Masis, Travis Chapman, Juliana Y. Rhee, David D. Cox, Andrew M. Saxe
Summary: Balancing short-term speed and accuracy is crucial for making optimal decisions in the presence of noise. This study demonstrates the importance of long-term learning in the speed-accuracy trade-off and provides a theoretical framework that incorporates learning dynamics. The findings reveal that choosing suboptimal response times to facilitate faster learning can lead to greater total reward, suggesting cognitive control over the learning process.
Article
Multidisciplinary Sciences
Daniel Schlunegger, Fred W. Mast
Summary: Expectations of sensory information influence both the quality and content of our perception. The brain constantly computes probabilities between sensory events to generate predictions about future events. By studying behavioral responses in different experiments, we found that recent decisions, rather than the sequence of stimuli, cause serial dependence. This offers a new perspective on sequential choice effects and suggests that serial biases reflect the tracking of statistical regularities of the decision variable.
Article
Biology
Stacey Aston, Marko Nardini, Ulrik Beierholm
Summary: Efficient decision-making requires accounting for sources of uncertainty, and while the nervous system can handle perceptual uncertainty well, it struggles with other types of uncertainty. This article reviews previous studies and presents an example showing how the nervous system accounts for different uncertainties in decision-making.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Review
Neurosciences
Redmond G. O'Connell, Simon P. Kelly
Summary: Recent methodological advances have enabled the study of human brain signals that trace the dynamics of decision formation, revealing key elements of decision-making processes and algorithms in the brain.
ANNUAL REVIEW OF NEUROSCIENCE, VOL 44, 2021
(2021)
Article
Biology
Kyra Schapiro, Kresimir Josic, Zachary P. Kilpatrick, Joshua Gold
Summary: This study used human psychophysics to examine the impact of working-memory limitations on the accuracy of continuous decision variables. The results suggest that the degradation of the decision variable depends on the strategy used to form it, either as a single value or as multiple values stored in memory.
Article
Computer Science, Information Systems
Wenjie Wang, Jianming Zhan, Chao Zhang
Summary: Multi-attribute decision making (MADM) is a crucial part of modern decision sciences, with three-way decisions (3WD) being able to reduce decision risks and improve accuracy compared to traditional two-way decisions (2WD). This paper presents a new 3WD-MADM model based on probabilistic dominance relations, and validates its effectiveness through comparative and experimental analyses.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Chuan Yue
Summary: This study introduces new normalization models to address attribute normalization issues in group decision-making processes, providing a uniform bound related to decision systems and showing superiority over classical methods. It contributes to cognitive MADM and GDM systems, offering practical solutions and new possibilities for decision-making problems.
COGNITIVE COMPUTATION
(2021)
Article
Neurosciences
Christa L. Watson Pereira, Ran Zhou, Mark A. Pitt, Jay I. Myung, P. Justin Rossi, Eduardo Caverzasi, Esther Rah, Isabel E. Allen, Maria Luisa Mandelli, Marita Meyer, Zachary A. Miller, Maria Luisa Gorno Tempini
Summary: This study examines the relationship between developmental dyslexia and probabilistic decision-making, as well as the association between the volume of striatal structures and probabilistic decision-making. The results show that developmental dyslexia is associated with higher risk propensity and lower behavioral consistency, and cognitive model parameters are related to timed pseudoword reading.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Sarah Qahtan, Hassan A. Alsattar, A. A. Zaidan, Muhammet Deveci, Dragan Pamucar, Dursun Delen, Witold Pedrycz
Summary: This research proposes a benchmarking framework for the agri-food 4.0 supply chain to enhance data analytics capabilities and achieve sustainable performance. The methodology includes constructing a decision matrix, introducing fuzzy set theory, weight allocation, and scoring methods, and validating the results through sensitivity analysis and Spearman's correlation coefficient.
APPLIED SOFT COMPUTING
(2023)
Review
Psychology, Multidisciplinary
Peter Bossaerts
Summary: Over the past 15 years, the intersection of neuroscience and economics has shed light on common misconceptions about emotions and decision-making, while also highlighting potential limitations of purely behavior-based research in capturing key features of human choice.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Multidisciplinary Sciences
Tiasha Saha Roy, Satyaki Mazumder, Koel Das
Summary: Combining weighted averages of individual decision variables results in better performance than majority pooling algorithm; classification error rates from individual judgement increase with task difficulty, but can be significantly reduced by using group aggregation rules; the benefits of group aggregation may depend on the correlation between individual judgements.
SCIENTIFIC REPORTS
(2021)
Review
Psychology
Medha Shekhar, Dobromir Rahnev
Summary: Research shows that human metacognitive ability decreases with higher confidence levels, leading to a non-linear zROC curve. A new mechanistic model incorporating lognormally distributed metacognitive noise better explains metacognitive inefficiency.
PSYCHOLOGICAL REVIEW
(2021)
Article
Multidisciplinary Sciences
Celia C. Beron, Shay Q. Neufeld, Scott W. Linderman, Bernardo L. Sabatini
Summary: In probabilistic and nonstationary environments, mice use internal and external cues to make decisions. The behavior of mice in a task with time-varying reward probabilities is both deterministic and stochastic. Modeling their behavior through equivalent models reveals that mice achieve near-maximal reward rates.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Automation & Control Systems
Junyao Li, Zhinan Hao
Summary: This article introduces a quantum-like probabilistic linguistic term decision-making framework to address the complexities and subjectivities in decision-making processes. By analyzing quantum states, quantum data processing, and interference effects, decision-maker beliefs are represented in a superposition state with subjective relationships fully considered.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Neurosciences
Ingmar Kanitscheider, Amanda Brown, Alexandre Pouget, Anne K. Churchland
JOURNAL OF NEUROPHYSIOLOGY
(2015)
Article
Neurosciences
Xaq Pitkow, Sheng Liu, Dora E. Angelaki, Gregory C. DeAngelis, Alexandre Pouget
Review
Neurosciences
Adam Kohn, Ruben Coen-Cagli, Ingmar Kanitscheider, Alexandre Pouget
ANNUAL REVIEW OF NEUROSCIENCE, VOL 39
(2016)
Editorial Material
Multidisciplinary Sciences
Zachary F. Mainen, Michael Hausser, Alexandre Pouget
Article
Neurosciences
Agnieszka Grabska-Barwinska, Simon Barthelme, Jeff Beck, Zachary F. Mainen, Alexandre Pouget, Peter E. Latham
NATURE NEUROSCIENCE
(2017)
Article
Neurosciences
Alexandre Pouget, Jan Drugowitsch, Adam Kepecs
NATURE NEUROSCIENCE
(2016)
Article
Multidisciplinary Sciences
Satohiro Tajima, Jan Drugowitsch, Alexandre Pouget
NATURE COMMUNICATIONS
(2016)
Editorial Material
Neurosciences
Larry F. Abbott, Dora E. Angelaki, Matteo Carandini, Anne K. Churchland, Yang Dan, Peter Dayan, Sophie Deneve, Ila Fiete, Surya Ganguli, Kenneth D. Harris, Michael Hausser, Sonja Hofer, Peter E. Latham, Zachary F. Mainen, Thomas Mrsic-Flogel, Liam Paninski, Jonathan W. Pillow, Alexandre Pouget, Karel Svoboda, Ilana B. Witten, Anthony M. Zador
Article
Neurosciences
Yoshiyuki Yamada, Khaleel Bhaukaurally, Tamas J. Madarasz, Alexandre Pouget, Ivan Rodriguez, Alan Carleton
Article
Biochemical Research Methods
Joel Zylberberg, Alexandre Pouget, Peter E. Latham, Eric Shea-Brown
PLOS COMPUTATIONAL BIOLOGY
(2017)
Article
Biochemical Research Methods
Kaushik J. Lakshminarasimhan, Alexandre Pouget, Gregory C. Deangelis, Dora E. Angelaki, Xaq Pitkow
PLOS COMPUTATIONAL BIOLOGY
(2018)
Article
Neurosciences
Satohiro Tajima, Jan Drugowitsch, Nisheet Patel, Alexandre Pouget
NATURE NEUROSCIENCE
(2019)
Article
Multidisciplinary Sciences
Jan Drugowitsch, Andre G. Mendonca, Zachary F. Mainen, Alexandre Pouget
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2019)
Article
Neurosciences
Han Hou, Qihao Zheng, Yuchen Zhao, Alexandre Pouget, Yong Gu
Editorial Material
Neurosciences
Amy Adams, Jan G. Bjaalie, James O. Deshler, Yves De Koninck, Gary Egan, Judy Illes, Sung-Jin Jeong, Caroline Montojo, Shigeo Okabe, Gang Pei, Linda J. Richards, Pann-Ghill Suh, Xu Zhang, Jialin Zheng, Stephanie Albin, Katrin Amunts, Tasia Asakawa, Amy Bernard, Khaled Chakli, Christoph J. Ebell, Melina Hale, Michael Hausser, Linda Lanyon, Yan Li, Pierre Magistretti, Agnes McMahon, Hideyuki Okano, Toshihisa Ohtsuka, Alexandre Pouget, Karen S. Rommelfanger, Jason Reindorp, Paul Sajda, Kimberly N. Scobie, Keiji Tanaka, Edda Thiels, Pedro A. Valdes-Sosa, Andrew E. Welchman, Samantha White, Gary Wilson, Rafael Yuste