Article
Engineering, Biomedical
Weitong Liu, Siyuan Chang, Jiang Wang, Chen Liu
Summary: Targeted stimulation of the nervous system is increasingly important, and real-time simulation is significant for analyzing neural activity and improving neuromodulation techniques. This paper proposes a real-time hardware experimental platform for closed-loop electrophysiology, which is highly compatible and allows for different experiments.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Computer Science, Information Systems
Julius Schoening, Hans-Juergen Pfisterer
Summary: This paper explores the opportunities and research directions of incorporating artificial intelligence (AI) into closed-loop control systems (CLCSs), and emphasizes the significant improvement in stakeholder confidence through the integration of AI. To ensure the safety of AI-based CLCSs, developers need to accurately assess the impact of trainable parameters on the system.
Article
Engineering, Industrial
Jie Wei, Weiyu Chen, Guoxin Liu
Summary: The study finds that in a closed-loop supply chain, the manufacturer's optimal integration strategy is to integrate the retailer and one collector, especially when collection competition is intense. This can improve the overall collection rate and maximize the surplus profit of the integration strategy.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Man Zhou, Jie Huang, Danfeng Hong, Feng Zhao, Chongyi Li, Jocelyn Chanussot
Summary: This paper proposes a closed-loop scheme that learns both the pan-sharpening and its corresponding degradation process simultaneously to regulate the solution space. A specific multiscale high-frequency texture extraction module is also designed to strengthen the algorithm. Experimental results demonstrate the effectiveness of the proposed algorithm.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Optics
Jieqiu Shao, Joshua Combes, John Hauser, Marco M. Nicotra
Summary: This paper presents a general-purpose solver for quantum optimal control based on the PRONTO method. The method incorporates the Schrodinger equation into the cost function using a projection operator and minimizes it using Newton's descent method. The method guarantees monotonic convergence at each iteration and quadratic convergence near the solution.
Review
Endocrinology & Metabolism
Charlotte K. Boughton, Roman Hovorka
Summary: Advances in diabetes technologies have led to the development of automated closed-loop insulin delivery systems, which are changing the way type 1 diabetes is managed. This review examines the evidence supporting currently available closed-loop systems and those in development, including DIY systems, as well as the challenges and potential enhancements for clinical adoption.
Article
Multidisciplinary Sciences
Gabrielle J. Gutierrez, Fred Rieke, Eric T. Shea-Brown
Summary: By comparing model circuits with different combinations of convergence, divergence, and nonlinear neurons, we can discover how interactions between these components affect coding efficiency. Our findings suggest that a convergent circuit with divergent parallel pathways can encode more information with nonlinear subunits than with linear subunits.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Review
Neurosciences
Jaeouk Cho, Geunchang Seong, Yonghee Chang, Chul Kim
Summary: Miniaturized implantable devices are crucial for neural interfaces in monitoring and modulating neural activities. The pursuit of a compact wireless closed-loop system can automatically stimulate nerves based on user conditions, reducing power consumption and side effects. However, challenges in hardware design remain, such as neural activity recording and energy-efficient wireless power delivery.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Ameya C. Nanivadekar, Santosh Chandrasekaran, Eric R. Helm, Michael L. Boninger, Jennifer L. Collinger, Robert A. Gaunt, Lee E. Fisher
Summary: Modern myoelectric prosthetic hands can be controlled with multiple degrees of freedom, but visual attention is crucial. By stimulating the nervous system, artificial somatosensory feedback can be provided to reduce reliance on visual cues. In this case study, individuals with upper-limb amputation used somatotopically-matched tactile feedback to discriminate object size and compliance when controlling a prosthetic hand.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Lekshmy Sudha Kumari, Abbas Z. Kouzani
Summary: This paper presents a tetherless and miniaturized closed-loop optogenetic brain stimulation device for laboratory mice, which can sense biomarkers related to major depressive disorder and provide feedback to control the stimulation. The device is designed to address the issue of hindering the free movement of the animals caused by tethered devices in previous experiments.
Article
Automation & Control Systems
Mingyi Huo, Hao Luo, Hao Wang, Yuchen Jiang, Shen Yin, Okyay Kaynak
Summary: Due to informatization and the wider use of connected intelligence, modern industry has become large scale. To address the shortcomings of centralized design, this article proposes a subspace-aided distributed closed-loop monitoring approach that only utilizes local closed-loop subsystems' measurement information. The approach achieves distributed closed-loop monitoring by obtaining residuals of each subsystem through oblique projection technology and information interaction. The contributions of this article include equivalent monitoring to centralized design, reduced computational complexity, and secure information transmission.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Kuan Li, Hao Luo, Yuchen Jiang, Dejia Tang, Hongyan Yang
Summary: This paper presents a subspace identification method for closed-loop systems with unknown deterministic disturbances. By constructing the row space to approximate the unknown disturbances, effective identification of the closed-loop systems can be achieved.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Computer Science, Theory & Methods
Tingfang Wu, Linqiang Pan
Summary: Spiking neural P systems with communication on request (SNQP systems) are neurally inspired computing devices where a neuron actively seeks spikes from presynaptic neurons. SNQP systems with mute rules (SNQPM systems) are considered, where mute rules do not have communication functioning. It is shown that SNQPM systems with only mute rules are not Turing universal, but become Turing universal when both mute and request rules are employed. Two universal SNQPM systems with 7 and 13 neurons are constructed for number generating and function computing, showcasing the trade-off between mute rules and types of spikes in comparison to a universal SNQP system.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Review
Chemistry, Multidisciplinary
Rajiv Teja Nagipogu, Daniel Fu, John H. Reif
Summary: DNA computing serves as a promising approach to achieve programmable chemical behaviors by repurposing nucleic acid molecules into chemical hardware. Novel subfield within DNA computing has focused on embedding learning and inference into chemical reaction systems to adapt to the uncertainty and fluctuations in chemical environments. Molecular machines with learning abilities can lead to innovative applications in biotechnology, synthetic biology, and medicine.
Article
Neurosciences
Biao Han, Yanni Zhang, Lu Shen, Lei Mo, Qi Chen
Summary: Top-down attention can bias our subjective perception towards preferred percepts through modulating prestimulus neural activity or inducing prestimulus sensory templates. This study using electroencephalogram found that task demands can modulate prestimulus alpha frequency and sensory templates, thus influencing subjective perception.
Article
Neurosciences
Pablo Martinez-Vazquez, Alexander Gail
Correction
Genetics & Heredity
Lisbeth Tranebjaerg, Nicola Strenzke, Sture Lindholm, Nanna D. Rendtorff, Hanne Poulsen, Himanshu Khandelia, Wojciech Kopec, Troels J. Brunnich Lyngbye, Christian Hamel, Cecile Delettre, Beatrice Bocquet, Michael Bille, Hanne H. Owen, Toke Bek, Hanne Jensen, Karen Ostergaard, Claes Moller, Linda Luxon, Lucinda Carr, Louise Wilson, Kaukab Rajput, Tony Sirimanna, Katherine Harrop-Griffiths, Shamima Rahman, Barbara Vona, Julia Doll, Thomas Haaf, Oliver Bartsch, Hendrik Rosewich, Tobias Moser, Maria Bitner-Glindzicz
Article
Multidisciplinary Sciences
Xufeng Chen, Muhammad Aslam, Tim Gollisch, Kevin Allen, Jakob von Engelhardt
NATURE COMMUNICATIONS
(2018)
Article
Computer Science, Artificial Intelligence
Philip J. Vance, Gautham P. Das, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Tim Gollisch, Jian K. Liu
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2018)
Article
Biology
Philippe Jean, David Lopez de la Morena, Susann Michanski, Lina Maria Jaime Tobon, Rituparna Chakrabarti, Maria Magdalena Picher, Jakob Neef, SangYong Jung, Mehmet Gueltas, Stephan Maxeiner, Andreas Neef, Carolin Wichmann, Nicola Strenzke, Chad Grabner, Tobias Moser
Article
Neurosciences
Norma Krystyna Kuehn, Tim Gollisch
Review
Cell Biology
Fernando Rozenblit, Tim Gollisch
SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY
(2020)
Article
Neurosciences
Dimokratis Karamanlis, Tim Gollisch
Summary: The study found that while some cells in the early visual system can be accurately predicted using linear receptive field models, many others show pronounced sensitivity to fine spatial contrast and local signal rectification. This highlights the diversity of receptive field nonlinearities as a crucial component for understanding early sensory encoding.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Multidisciplinary Sciences
Mohammad Hossein Khani, Tim Gollisch
Summary: The study reveals that ganglion cells in mouse retina integrate chromatic visual signals either linearly or nonlinearly, with the nonlinear integration depending on rod photoreceptor activity and surround inhibition, and may help detect chromatic boundaries such as the skyline in natural scenes.
NATURE COMMUNICATIONS
(2021)
Review
Neurosciences
Soeren J. Zapp, Steffen Nitsche, Tim Gollisch
Summary: The center-surround receptive field is crucial for the processing and encoding of visual information in the retina. However, traditional linear filter approaches often fail to capture the responses of ganglion cells to complex visual stimuli. Recent models with local nonlinearities or local temporal dynamics are emerging to better reflect relevant aspects of retinal circuitry and stimulus encoding. This review discusses the identification of receptive field substructure and its role in visual stimulus encoding, as well as the potential use of computational tools in retinal circuit analysis.
TRENDS IN NEUROSCIENCES
(2022)
Article
Biochemical Research Methods
Jian K. Liu, Dimokratis Karamanlis, Tim Gollisch
Summary: A central goal in sensory neuroscience is to understand how neuronal signal processing encodes natural stimuli. This study reveals the importance of spatial nonlinearities in the encoding of natural images by ganglion cells. By considering both the average light intensity and its variance over space, the model in this study improves response predictions and provides a benchmark for the development of more detailed models of the nonlinear structure of receptive fields.
PLOS COMPUTATIONAL BIOLOGY
(2022)
Article
Neurosciences
Leon Hosang, Rashad Yusifov, Siegrid Loewel
Article
Neurosciences
Jun Sun, An Qi Xu, Julia Giraud, Haiko Poppinga, Thomas Riemensperger, Andre Fiala, Serge Birman
FRONTIERS IN SYSTEMS NEUROSCIENCE
(2018)
Article
Biochemistry & Molecular Biology
Katharina N. Richter, Natalia H. Revelo, Katharina J. Seitz, Martin S. Helm, Deblina Sarkar, Rebecca S. Saleeb, Elisa D'Este, Jessica Eberle, Eva Wagner, Christian Vogl, Diana F. Lazaro, Frank Richter, Javier Coy-Vergara, Giovanna Coceano, Edward S. Boyden, Rory R. Duncan, Stefan W. Hell, Marcel A. Lauterbach, Stephan E. Lehnart, Tobias Moser, Tiago F. Outeiro, Peter Rehling, Blanche Schwappach, Ilaria Testa, Bolek Zapiec, Silvio O. Rizzoli
Article
Neurosciences
Katja Burk, Binu Ramachandran, Saheeb Ahmed, Joaquin I. Hurtado-Zavala, Ankit Awasthi, Eva Benito, Ruth Faram, Hamid Ahmad, Aarti Swaminathan, Jeffrey McIlhinney, Andre Fischer, Pavel Perestenko, Camin Dean