Article
Multidisciplinary Sciences
Marcin Penconek
Summary: This paper investigates the speed-accuracy tradeoff in decision making and compares the threshold hypothesis and the gain modulation hypothesis. It finds that the threshold hypothesis is qualitatively consistent with behavioral data, while the gain modulation hypothesis is not. The study also shows that interference from alpha oscillations can enhance the discriminatory power of the decision system, but slows down the decision process. Additionally, lower amplitude alpha oscillations result in an increase in baseline firing rate and the speed of neuronal integration.
SCIENTIFIC REPORTS
(2022)
Article
Automation & Control Systems
Junjie Zhou, Shanlin Zhong, Wei Wu
Summary: This article focuses on adaptive motion generation of fast goal-oriented motion on the musculoskeletal system by implementing the speed-accuracy tradeoff in a hierarchical motion learning framework. By introducing Fitts' Law and an improved policy gradient algorithm, the proposed muscle co-contraction policy is suggested to promote general cooperation between flexor and extensor muscles. The algorithm demonstrates efficient training and the best performance in adaptive motion generation among other reinforcement learning algorithms on the musculoskeletal model.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Multidisciplinary Sciences
Charles W. Dickey, Anna Sargsyan, Joseph R. Madsen, Emad N. Eskandar, Sydney S. Cash, Eric Halgren
Summary: Research shows that there is a strong tonic and phase-locked increase in firing and co-firing during spindles, especially those occurring with down-to-upstate transitions, within 25 ms. Co-firing, spindle co-occurrence, and spindle coherence are greatest within approximately 2 mm.
NATURE COMMUNICATIONS
(2021)
Article
Automation & Control Systems
Guojun Wang, Jian Wu, Rui He, Bin Tian
Summary: Road boundary detection is crucial for autonomous vehicle localization and decision-making, especially when faced with challenges such as obstacle occlusions and large road curvature in structured environments. The proposed LiDAR-based method utilizes a speed and accuracy tradeoff approach, showing real-time performance and effectiveness in detecting road boundaries under various road conditions.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Physics, Applied
K. Segall, C. Purmessur, A. D'Addario, D. Schult
Summary: The recent success of AI systems has led to an increase in computational resources which threatens the future development of AI systems. Unsupervised learning presents a possible solution, and a synaptic circuit made from superconducting electronics capable of STDP has been designed. The circuit demonstrates the hallmark behaviors of STDP through numerical simulation, and when combined with existing superconducting neuromorphic components, it could contribute to the creation of a fast, powerful, and energy-efficient Spiking Neural Network.
APPLIED PHYSICS LETTERS
(2023)
Article
Mathematics, Applied
Ewandson L. Lameu, Fernando S. Borges, Kelly C. larosz, Paulo R. Protachevicz, Chris G. Antonopoulos, Elbert E. N. Macau, Antonio M. Batista
Summary: This study investigates the combined effect of short-term and spike-timing-dependent plasticity on synaptic strength, showing that plasticity can facilitate the formation of modular neural networks with complex topologies resembling those with preferential attachment properties. Specifically, the use of an STDP rule altering synaptic coupling intensity based on spike time intervals leads to the emergence of directed connections from high to low frequency spiking neurons. The results suggest that the combined effect of STP and STDP with long recovery times facilitates connections among neurons with similar spike frequencies, resulting in preferential attachment.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Biology
Aurelio Bruno, Federico G. Segala, Daniel H. Baker
Summary: This study investigates the mechanisms underlying time perception using visual adaptation experiments. It finds that time adaptation has a significant effect on the duration of a 600 ms interval but a weaker effect on a 1200 ms interval, suggesting the existence of different mechanisms for time perception at different time scales.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Neurosciences
Cunzheng Li, Ji-an Wei, Diyang Wang, Zhihua Luo, Chaoqin Pang, Kai Chen, Juan Duan, Bailing Chen, Libing Zhou, Fadel Tissir, Lei Shi, Kwok-Fai So, Li Zhang, Yibo Qu
Summary: Celsr2 plays an important role in maintaining the structural and functional integrity of adult neocortex, as well as synaptic function and motor learning.
PROGRESS IN NEUROBIOLOGY
(2022)
Article
Clinical Neurology
Matthew Weightman, John-Stuart Brittain, Alison Hall, R. Chris Miall, Ned Jenkinson
Summary: The study found that short-duration stimulation applied to the cerebellum enhanced movements performed simultaneously with stimulation, while M1 stimulation did not improve adaptation. This suggests that the coupling of cerebellar stimulation and movement plays a crucial role in facilitating enhanced learning in the stimulated context.
Article
Engineering, Electrical & Electronic
Qi Teng, Yin Tang, Guangwei Hu
Summary: This article proposes a resource-efficient dynamic network called RepHAR for low-cost hardware-constrained human activity recognition tasks. RepHAR achieves a trade-off between speed and accuracy by combining multibranch topologies and structured reparameterization techniques. Experimental results on four publicly available datasets demonstrate the effectiveness of the proposed method. RepHAR runs 72% faster than the multibranch CNN model on the embedded Raspberry Pi, showcasing its usefulness and practicality. Our model and codes will be released soon.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Multidisciplinary Sciences
Jennifer Oyler-Yaniv, Alon Oyler-Yaniv, Evan Maltz, Roy Wollman
Summary: Research shows that exposure to TNF during viral infection causes cells to adjust their speed-versus-accuracy balance in cell death decision-making, to limit the spread of HSV-1.
NATURE COMMUNICATIONS
(2021)
Review
Neurosciences
Pierre-Paul Vidal, Francesco Lacquaniti
Summary: Even in a stereotyped task, sensorimotor behavior can be variable due to noise, redundancy, adaptability, learning or plasticity. The sources and significance of behavioral variability have attracted attention, but the idea that individual strategies play a role in this variability has been explored to a lesser extent. The concept of style in sensorimotor behavior has not been thoroughly studied, but it may contribute to personalized physiology and medicine.
EXPERIMENTAL BRAIN RESEARCH
(2021)
Article
Multidisciplinary Sciences
Jongsoo Baek, Hae-Jeong Park
Summary: Most psychological experiments measure cognitive function by response time and accuracy to stimuli, with SAT paradigms integrating these factors. Practical limitations of lengthy SAT experiments require more efficient techniques, such as Bayesian adaptive estimation, which proved highly efficient and robust in estimating SAT functions accurately and precisely.
SCIENTIFIC REPORTS
(2021)
Article
Psychiatry
James A. Grange
Summary: The study examined the association between depression symptomatology and performance in speed-accuracy tradeoffs. The results suggest that strategic adaptation of response settings in response to speed-accuracy instructions does not appear to be associated with depression symptomatology.
JOURNAL OF PSYCHIATRIC RESEARCH
(2022)
Article
Psychology, Multidisciplinary
Grazia Di Pisa, Maki Kubota, Jason Rothman, Theodoros Marinis
Summary: This study compared heritage speakers and homeland speakers of Italian in experimental tasks and found that heritage speakers process grammatical gender in a similar way to native speakers, but with an emphasis on markedness and a tradeoff between speed and accuracy.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Chi-Tin Shih, Olaf Sporns, Shou-Li Yuan, Ta-Shun Su, Yen-Jen Lin, Chao-Chun Chuang, Ting-Yuan Wang, Chung-Chuang Lo, Ralph J. Greenspan, Ann-Shyn Chiang
Article
Neurosciences
Chung-Chuan Lo, Cheng-Te Wang, Xiao-Jing Wang
JOURNAL OF NEUROPHYSIOLOGY
(2015)
Article
Computer Science, Artificial Intelligence
Cheng-Wei Li, Chung-Chuan Lo, Bor-Sen Chen
Article
Neurosciences
Chung-Chuan Lo, Ann-Shyn Chiang
JOURNAL OF NEUROSCIENCE
(2016)
Article
Computer Science, Artificial Intelligence
Cheng-Wei Li, Chung-Chuan Lo, Bor-Sen Chen
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2016)
Article
Biochemical Research Methods
Chung-Chuan Lo, Xiao-Jing Wang
PLOS COMPUTATIONAL BIOLOGY
(2016)
Article
Multidisciplinary Sciences
Ta-Shun Su, Wan-Ju Lee, Yu-Chi Huang, Cheng-Te Wang, Chung-Chuan Lo
NATURE COMMUNICATIONS
(2017)
Article
Computer Science, Interdisciplinary Applications
Yi-Hsuan Lee, Yen-Nan Lin, Chao-Chun Chuang, Chung-Chuan Lo
Article
Multidisciplinary Sciences
Cheng-Te Wang, Chung-Ting Lee, Xiao-Jing Wang, Chung-Chuan Lo
Article
Mathematical & Computational Biology
Yen-Nan Lin, Po-Yen Chang, Pao-Yueh Hsiao, Chung-Chuan Lo
FRONTIERS IN NEUROINFORMATICS
(2014)
Article
Behavioral Sciences
Hung-Hsiu Yen, Rui Han, Chung-Chuan Lo
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2019)
Article
Computer Science, Interdisciplinary Applications
Chi-Tin Shih, Yen-Jen Lin, Cheng-Te Wang, Ting-Yuan Wang, Chih-Chen Chen, Ta-Shun Su, Chung-Chuang Lo, Ann-Shyn Chiang
Article
Multidisciplinary Sciences
Rui Han, Tzu-Min Wei, Szu-Chiao Tseng, Chung-Chuan Lo
Summary: The Buridan's paradigm is designed for testing visuomotor responses or phototaxis in fruit fly Drosophila melanogaster. Fruit flies exhibit robust negative photoaxis by approaching the central part of dark stripes of any size, with stripes of 20-30 degrees width yielding the best performance. Approach behavior performance depends on the luminance ratio between the stripes and the screen.
Article
Health Care Sciences & Services
Yi-Shiuan Liu, Chih-Yu Yang, Ping-Fang Chiu, Hui-Chu Lin, Chung-Chuan Lo, Alan Szu-Han Lai, Chia-Chu Chang, Oscar Kuang-Sheng Lee
Summary: The study aimed to develop machine learning algorithms to predict intradialytic adverse events during hemodialysis. By collecting dialysis and physiological time-series data, extracting features through linear and differential analyses, building models, and cross-validating them, the results showed that the algorithm achieved high AUC in quasi-real time prediction of adverse events during hemodialysis.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Neurosciences
Rui Han, Hsuan-Pei Huang, Chia-Lung Chuang, Hung-Hsiu Yen, Wei-Tse Kao, Hui-Yun Chang, Chung-Chuan Lo
Summary: This study investigated the role of inhibitory neurons in coordinating the stabilization and updating functions of the EB circuits during a spatial orientation memory task in fruit flies. Manipulating two types of inhibitory neurons produced distinct behavioral deficits, suggesting specific roles in the activity bump system. The neural mechanisms underlying control circuits were further elucidated using a connectome-constrained spiking neural network model.