Article
Multidisciplinary Sciences
Bruno F. Cruz, Goncalo Guiomar, Sofia Soares, Asma Motiwala, Christian K. Machens, Joseph J. Paton
Summary: The direct and indirect pathways of the basal ganglia play opposite roles in action suppression. Co-activation of neurons in the movement center and dorsolateral striatum is observed during action suppression. Optogenetic inhibition experiments demonstrate that the dorsolateral striatum is primarily involved in suppressing actions, while other striatal circuits promote contralateral actions. These findings highlight the importance of opponent interactions between region-specific basal ganglia processes in behavioral control, and emphasize the critical role of the sensorimotor indirect pathway in the proactive suppression of tempting actions.
Article
Multidisciplinary Sciences
Bartul Mimica, Tuce Tombaz, Claudia Battistin, Jingyi Guo Fuglstad, Benjamin A. Dunn, Jonathan R. Whitlock
Summary: This study investigates how different cortical systems encode naturalistic 3D behavior by mapping sensory and motor cortical areas. The results show that the cortical population code is influenced by movement but the relationship between these signals and natural behavior in sensory cortices is still unknown. By comparing high-density neural recordings across four cortical regions in rats, the researchers find that momentary actions can be decoded universally, while more elementary and continuous features follow region-specific organization. The findings suggest that ongoing behavior is encoded at multiple levels throughout the dorsal cortex, with different regions utilizing low-level features for locally relevant computations.
NATURE COMMUNICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Belen Gonzalez-Sanchez, Miguel A. Vega-Rodriguez, Sergio Santander-Jimenez
Summary: One of the main challenges in synthetic biology is maximizing protein expression levels through multiple copies of the same gene, treated as a multi-objective optimization problem. Recent research has shown success in using the artificial bee colony algorithm to address this issue, although protein length and copy number impact computational costs. This study proposes parallel bioinspired designs to tackle protein encoding in multiprocessor systems, achieving significant quality levels in encoded proteins.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Psychology, Experimental
Etienne Thoret, Mitsuko Aramaki, Lionel Bringoux, S. o lvi Ystad, Richard Kronland-Martinet
Summary: By using auditory cues from friction sounds, it has been found that geometric prototypes can be recalled through the auditory channel, supporting the hypothesis of a common coding of geometric shapes. The experiments revealed a common elliptic prototype emerging from auditory, visual, and motor modalities, highlighting the role of sensory-motor contingencies in the emergence of such prototypical geometry.
Article
Behavioral Sciences
Claudio Galletti, Michela Gamberini, Patrizia Fattori
Summary: In the macaque, the posterior parietal area V6A is involved in the control of reach-to-grasp actions, including the transport and grasping phases. It acts as a state estimator to maintain consistency between ongoing and desired movements, and can encode the target of an action. Additionally, it may use attention to guide goal-directed hand movements and has a specific priority map for reaching arm movement.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Biochemical Research Methods
Vince Enachescu, Paul Schrater, Stefan Schaal, Vassilios Christopoulos
Summary: The brain resolves goal location uncertainty within the action-space through a desirability-driven competition between parallel motor plans when making decisions during ongoing actions.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Neurosciences
Satya Rungta, Aditya Murthy
Summary: This study investigated the spatial and temporal aspects of response preparation in the anterior deltoid muscle using high-density surface electromyography (EMG). The results showed early spatially specific ramping activity that predicted reaction times, but this activity was absent during isometric force-driven cursor movements. These findings suggest that early motor preparation can be reflected in muscle activity, but it differs between different types of movements.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Summary: This article proposes a novel encoding scheme called ACEncoding for neural architecture search, and introduces a tailored performance evaluator called Seq2Rank. Experimental results show that ACEncoding and Seq2Rank can improve the performance of neural architecture search and achieve competitive results in image classification tasks.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Akira Terakawa, Yanhui Hu, Toshiya Kokaji, Katsuyuki Yugi, Keigo Morita, Satoshi Ohno, Yifei Pan, Yunfan Bai, Andrey A. Parkhitko, Xiaochun Ni, John M. Asara, Martha L. Bulyk, Norbert Perrimon, Shinya Kuroda
Summary: This study constructed a transgenic network to investigate the role of insulin in Drosophila cells. The findings suggest that insulin promotes cell growth and proliferation by regulating gene expression, especially genes involved in anabolic metabolism.
Article
Computer Science, Artificial Intelligence
Yufu Chen, Zhiqi Lei, Yanghui Rao, Haoran Xie, Fu Lee Wang, Jian Yin, Qing Li
Summary: Non-negative Matrix Tri-Factorization (NMTF) is a novel paradigm for data mining and dimensionality reduction that has gained attention due to its notable performance and elegant mathematical derivation. However, existing NMTF-based methods suffer from high computational complexity. This paper proposes a parallel and scalable NMTF-based algorithm for text data co-clustering.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Primary Health Care
Jane Heyhoe, Caroline Reynolds, Remi Bec, Daniel Wolstenholme, Cheryl Grindell, Gemma Louch, Rebecca Lawton
Summary: This study successfully co-designed a safety-netting intervention with primary care patients and staff to assist in the timely diagnosis of cancer, using a collaborative design approach.
BRITISH JOURNAL OF GENERAL PRACTICE
(2022)
Article
Medicine, General & Internal
Julie M. Marchant, Anne B. Chang, Kobi L. Schutz, Lesley Versteegh, Anne Cook, Jack Roberts, Peter S. Morris, Stephanie T. Yerkovich, Gabrielle B. McCallum
Summary: Bronchiectasis is becoming more recognized in children, and this study aims to investigate the effectiveness of individualized action management plans in reducing non-scheduled doctor visits for respiratory exacerbations in children with bronchiectasis. This multicentre trial in Australia will involve 198 children and focus on acute exacerbations and overall exacerbation rates over 12 months.
Article
Energy & Fuels
Ruoli Tang, Shihan Zhang, Shangyu Zhang, Yan Zhang
Summary: This paper proposes a novel adaptive multi-context cooperatively co-evolutionary parallel differential evolution (AMCC-PDE) algorithm to identify parameters of lithium-ion batteries (LIB). The algorithm divides the data segment according to the state of charge (SOC) and optimizes the parameters and open-circuit voltage (UOCV) using a first-order RC model. Experimental results show that the AMCC-PDE algorithm can effectively identify parameters and maintain the variable-coupling relationship.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Medical Informatics
Vishnu Mohan, Cort Garrison, Jeffrey A. Gold
Summary: Physician burnout in the US is on the rise, with a significant factor being the amount of time spent interacting with electronic health record (EHR) systems. Physicians are spending increasing amounts of time outside of work hours catching up on paperwork, leading to burnout. This paper proposes an innovative model utilizing high-fidelity EHR simulations to optimize EHR use and emphasizes the importance of lifelong learning and physician well-being.
JMIR MEDICAL INFORMATICS
(2021)
Article
Environmental Sciences
Tinghui Li, Jiehua Ma, Bin Mo
Summary: This study explores the impact of environmental regulation policies on promoting the transformation and optimization of industrial structure to improve green total factor productivity (GTFP). The results show that environmental regulation policies can improve GTFP, with regional variations in the promoting effect of these policies. Moreover, the quality and quantity of industrial structure optimization can weaken or strengthen the promoting effect of environmental regulation policies on GTFP.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Review
Neurosciences
Jason P. Gallivan, Craig S. Chapman, Daniel M. Wolpert, J. Randall Flanagan
NATURE REVIEWS NEUROSCIENCE
(2018)
Article
Multidisciplinary Sciences
Hannah R. Sheahan, James N. Ingram, Goda M. Zalalyte, Daniel M. Wolpert
SCIENTIFIC REPORTS
(2018)
Article
Multidisciplinary Sciences
Noham Wolpe, Jiaxiang Zhang, Cristina Nombela, James N. Ingram, Daniel M. Wolpert, James B. Rowe
SCIENTIFIC REPORTS
(2018)
Article
Multidisciplinary Sciences
James B. Heald, David W. Franklin, Daniel M. Wolpert
SCIENTIFIC REPORTS
(2018)
Correction
Multidisciplinary Sciences
Noham Wolpe, Jiaxiang Zhang, Cristina Nombela, James N. Ingram, Daniel M. Wolpert, James B. Rowe
SCIENTIFIC REPORTS
(2018)
Article
Neurosciences
Timothy J. Carroll, Daniel McNamee, James N. Ingram, Daniel M. Wolpert
JOURNAL OF NEUROSCIENCE
(2019)
Article
Multidisciplinary Sciences
Mohsen Sadeghi, Hannah R. Sheahan, James N. Ingram, Daniel M. Wolpert
SCIENTIFIC REPORTS
(2019)
Article
Biology
Gabor Lengyel, Goda Zalalyte, Alexandros Pantelides, James N. Ingram, Jozsef Fiser, Mate Lengyel, Daniel M. Wolpert
Article
Biochemical Research Methods
Joshua B. Moskowitz, Daniel J. Gale, Jason P. Gallivan, Daniel M. Wolpert, J. Randall Flanagan
PLOS COMPUTATIONAL BIOLOGY
(2020)
Article
Biology
Yul Hr Kang, Anne Loffler, Danique Jeurissen, Ariel Zylberberg, Daniel M. Wolpert, Michael N. Shadlen
Summary: The brain can process multiple streams of information simultaneously when making decisions. When making two decisions about one object, the accuracy of one decision is not affected by the difficulty of the other decision, but the decisions are not made simultaneously. Initially, the brain can acquire information from multiple stimulus dimensions simultaneously, but later integrates them serially in time-multiplexed bouts.
Article
Multidisciplinary Sciences
Tsuyoshi Ikegami, J. Randall Flanagan, Daniel M. Wolpert
Summary: Motor adaptation can be achieved through error-based learning or reinforcement learning, with terminal error feedback combining sensory and reward prediction errors. Terminal error feedback leads to a more robust form of learning.
Article
Neurosciences
Zhaoran Zhang, Evan Cesanek, James N. Ingram, J. Randall Flanagan, Daniel M. Wolpert
Summary: Previous research focused on predicting weight based on the visual appearance of isolated objects. This study tested the hypothesis that when interacting with multiple objects, people can directly predict their weights based on their locations, bypassing visual processing.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Review
Behavioral Sciences
James B. Heald, Mate Lengyel, Daniel M. Wolpert
Summary: Context is considered an important factor in learning and memory across different domains. However, the lack of a unified framework has led to disjointed studies. In this study, we present a unified vernacular that allows direct comparisons between different domains of contextual learning. A Bayesian model is proposed, suggesting that context is unobserved and needs to be inferred. This theoretical approach uncovers two components of adaptation, proper and apparent learning, which involve memory creation and updating, as well as time-varying adjustments in their expression. Various extensions of the basic Bayesian model are reviewed to accommodate complex forms of contextual learning.
TRENDS IN COGNITIVE SCIENCES
(2023)
Article
Psychology, Biological
James B. Heald, James N. Ingram, J. Randall Flanagan, Daniel M. Wolpert
NATURE HUMAN BEHAVIOUR
(2018)
Article
Neurosciences
Amanda S. Therrien, Daniel M. Wolpert, Amy J. Bastian