News Item
Multidisciplinary Sciences
Liam Drew
Summary: Implants are becoming increasingly advanced, generating commercial interest.
Review
Neurosciences
Hui Zhang, Yaping Liu, Kai Zhou, Wei Wei, Yaobo Liu
Summary: Spinal cord injury is a major disability that results in motor and sensory impairment, causing a heavy burden for patients, families and the healthcare system. Neuromodulation is a promising treatment strategy for promoting sensorimotor function recovery in SCI patients, but the mechanisms behind its effects remain to be determined.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Engineering, Biomedical
Matthew J. Bryan, Linxing Preston Jiang, Rajesh P. N. Rao
Summary: This study proposes a device called a 'neural co-processor' which uses artificial neural networks and deep learning to learn optimal closed-loop stimulation policies and adapt them as the brain and sensors change. Computer simulations demonstrate the ability of the neural co-processor to recover healthy function after different lesions.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Xilin Liu, Hongjie Zhu, Tian Qiu, Srihari Y. Sritharan, Dengteng Ge, Shu Yang, Milin Zhang, Andrew G. Richardson, Timothy H. Lucas, Nader Engheta, Jan van der Spiegel
Summary: This study developed a fully-integrated wireless sensor-brain-machine interface system for communicating key somatosensory signals, fingertip forces, and limb joint angles to restore movement control after neurological injury, providing a novel solution for next-generation neural prostheses.
IEEE SENSORS JOURNAL
(2021)
Article
Multidisciplinary Sciences
Luke E. Miller, Cecile Fabio, Malika Azaroual, Dollyane Muret, Robert J. van Beers, Alessandro Farne, W. Pieter Medendorp
Summary: This study proposes that the somatosensory system may implement multilateration to decode touch location on the body by estimating the relative distance between afferent input and body part boundaries. A simple feed forward neural network was shown to be able to implement this computation, and the computational signature of multilateration was identified in psychophysical experiments.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Computer Science, Information Systems
Michal Bednarek, Piotr Kicki, Jakub Bednarek, Krzysztof Walas
Summary: Soft grippers are being increasingly studied for the manipulation of elastic objects, particularly in estimating physical parameters using deep learning algorithms. The authors proposed a trainable system for regressing object stiffness coefficient from signals collected during interaction with objects, contributing to the advancement of soft manipulation field. They conducted experiments in both physics simulation environment and real-world scenarios, with datasets created for further research in the growing field of soft manipulation.
Article
Chemistry, Multidisciplinary
Hee-Deok Yang
Summary: The article discusses how to use an attentive generative adversarial network (ATTGAN) to remove image noise caused by raindrops and other inclement weather conditions, improving the performance of outdoor vision systems.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Mohamad Alameh, Yahya Abbass, Ali Ibrahim, Gabriele Moser, Maurizio Valle
Summary: This paper explores the time series characteristics of RNNs for touch modality classification, proposing efficient models to capture long-term dependencies in data and presenting hardware-friendly approaches that reduce computational and memory requirements. The implemented models show higher classification accuracy and scalability, with reduced hardware complexity and improved performance compared to state-of-the-art solutions on the same benchmark dataset.
IEEE SENSORS JOURNAL
(2021)
Article
Multidisciplinary Sciences
Aglaja Busch, Christian Bangerter, Frank Mayer, Heiner Baur
Summary: This study evaluated the influences and reliability of leg dominance and sex on angular reproduction performance and neuromuscular activity in healthy participants. The results showed that leg dominance and sex did not have a significant impact on angular reproduction performance and neuromuscular activity. The relative reliability was found to be good, with acceptable consistency.
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Analytical
Huiyang Zhang, Anubha Kalra, Andrew Lowe, Yang Yu, Gautam Anand
Summary: In this paper, a hydrogel-based soft sensor is proposed for subtle touch detection. The sensor utilizes electrical impedance tomography (EIT) to produce images displaying the conductivity distribution of its sensitive region. Experimental results show that the sensor is capable of detecting subtle contacts without the need for noticeable force.
Article
Computer Science, Information Systems
Yang (Alison) Liu, Yi Shen, Cheng Luo, Hock Chuan Chan
Summary: This study empirically investigates the effects of gesture-based interaction on consumers' bodily sensations, highlighting the different impacts of different types of gesture-based interactions on consumers' sense of touch, which in turn affects their shopping experience satisfaction.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz
Summary: The paper focuses on the implementation of ternary neural networks and proposes a two-transistor/two-resistor memory architecture for achieving high energy efficiency at low supply voltage, while studying the bit error rate. Experimental results demonstrate that ternary neural networks can significantly improve neural network performance and exhibit immunity to bit errors.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Biology
Masaaki Hayashi, Kohei Okuyama, Nobuaki Mizuguchi, Ryotaro Hirose, Taisuke Okamoto, Michiyuki Kawakami, Junichi Ushiba
Summary: This study used EEG neurofeedback technique to enable participants to modulate their bilateral sensorimotor activities. The results showed that participants learned to regulate the excitability of the ipsilateral hand, thereby modulating the inhibition between the two brain hemispheres. Further analysis revealed that the modulation capability of inhibition magnitude was related to interhemispheric connectivity in EEG and TMS, as well as bilateral cortical oscillatory activities.
Article
Computer Science, Information Systems
Marius Nann, Francesca Cordella, Emilio Trigili, Clemente Lauretti, Marco Bravi, Sandra Miccinilli, Jose M. Catalan, Francisco J. Badesa, Simona Crea, Federica Bressi, Nicolas Garcia-Aracil, Nicola Vitiello, Loredana Zollo, Surjo R. Soekadar
Summary: This study aimed to test the feasibility, safety, and user-friendliness of stroke survivors using EEG/EOG-based brain/neural robotic control for daily tasks. The results showed that all chronic stroke patients were able to operate the system reliably and fluently, with no undesired side effects reported. Four participants rated the system as very user-friendly.
IEEE SYSTEMS JOURNAL
(2021)
Review
Nutrition & Dietetics
Patricia M. Di Lorenzo
Summary: This review discusses the relationship between the gustatory system and the perception of food, emphasizing that food is encoded by stimulating multiple senses and creating representation of food objects in the brain.
Article
Chemistry, Analytical
Erich D. Strozier, Douglas D. Mooney, David A. Friedenberg, Theodore P. Klupinski, Cheryl A. Triplett
ANALYTICAL CHEMISTRY
(2016)
Article
Chemistry, Medicinal
Theodore P. Klupinski, Erich D. Strozier, David A. Friedenberg, Marielle C. Brinkman, Sydney M. Gordon, Pamela I. Clark
CHEMICAL RESEARCH IN TOXICOLOGY
(2016)
Article
Multidisciplinary Sciences
Chad E. Bouton, Ammar Shaikhouni, Nicholas V. Annetta, Marcia A. Bockbrader, David A. Friedenberg, Dylan M. Nielson, Gaurav Sharma, Per B. Sederberg, Bradley C. Glenn, W. Jerry Mysiw, Austin G. Morgan, Milind Deogaonkar, Ali R. Rezai
Article
Multidisciplinary Sciences
David A. Friedenberg, Michael A. Schwemmer, Andrew J. Landgraf, Nicholas V. Annetta, Marcia A. Bockbrader, Chad E. Bouton, Mingming Zhang, Ali R. Rezai, W. Jerry Mysiw, Herbert S. Bresler, Gaurav Sharma
SCIENTIFIC REPORTS
(2017)
Article
Neurosciences
Samuel C. Colachis, Marcie A. Bockbrader, Mingming Zhang, David A. Friedenberg, Nicholas V. Annetta, Michael A. Schwemmer, Nicholas D. Skomrock, Walter J. Mysiw, Ali R. Rezai, Herbert S. Bresler, Gaurav Sharma
FRONTIERS IN NEUROSCIENCE
(2018)
Article
Biochemistry & Molecular Biology
Michael A. Schwemmer, Nicholas D. Skomrock, Per B. Sederberg, Jordyn E. Ting, Gaurav Sharma, Marcia A. Bockbrader, David A. Friedenberg
Article
Neurosciences
Nicholas D. Skomrock, Michael A. Schwemmer, Jordyn E. Ting, Hemang R. Trivedi, Gaurav Sharma, Marcia A. Bockbrader, David A. Friedenberg
FRONTIERS IN NEUROSCIENCE
(2018)
Article
Rehabilitation
Marcie Bockbrader, Nicholas Annetta, David Friedenberg, Michael Schwemmer, Nicholas Skomrock, Samuel Colachis, Mingming Zhang, Chad Bouton, Ali Rezai, Gaurav Sharma, Walter J. Mysiw
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2019)
Article
Toxicology
Theodore P. Klupinski, Erich D. Strozier, Stephanie D. Makselan, Stephanie S. Buehler, Erica N. Peters, Eric A. Lucas, Jerry S. Casbohm, David A. Friedenberg, Andrew J. Landgraf, Aaron J. Frank, Vladimir B. Mikheev, Alexander Ivanov
INHALATION TOXICOLOGY
(2020)
Article
Engineering, Biomedical
Samuel C. Colachis, Collin F. Dunlap, Nicholas Annetta, Sanjay M. Tamrakar, Marcia A. Bockbrader, David A. Friedenberg
Summary: This study presents findings on the long-term performance of intracortical microelectrode arrays (MEAs) in a human subject over a span of 5 years. While neural signal quality deteriorated rapidly within the first year, BCI performance remained high even after 5 years of implantation. The study also highlights unexpected signal disruptions during chronic MEA use, emphasizing the importance of detecting and mitigating such disruptions as BCI technology advances towards home usage.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Patrick D. Ganzer, Masoud S. Loeian, Steve R. Roof, Bunyen Teng, Luan Lin, David A. Friedenberg, Ian W. Baumgart, Eric C. Meyers, Keum S. Chun, Adam Rich, Allison L. Tsao, William W. Muir, Doug J. Weber, Robert L. Hamlin
Summary: This study demonstrates an artificially intelligent and responsive bioelectronic medicine system that supplements myocardial sensory networks for the reliable detection and correction of myocardial ischemia. Trained artificial neural networks can accurately decode cardiovascular stress and myocardial ischemia, and controlled vagus nerve stimulation significantly mitigates the physiological features of myocardial ischemia. The study also explores variants of artificial neural networks for clinically relevant needs, such as interpretable visualizations and unsupervised detection of emerging cardiovascular stress.
Article
Toxicology
Theodore P. Klupinski, Robert A. Moyer, Po-Hsu Allen Chen, Erich D. Strozier, Stephanie S. Buehler, David A. Friedenberg, Bartosz Koszowski
Summary: This study presents a systematic procedure for detecting, identifying, and prioritizing chemicals in complex aerosol samples based on non-targeted chemical analysis and assessment of toxicity data. The approach provides valuable insights into the potential inhalation toxicity of poorly characterized aerosols.
INHALATION TOXICOLOGY
(2022)
Proceedings Paper
Engineering, Biomedical
Jordyn Ting, Alessandro Del Vecchio, David Friedenberg, Monica Liu, Caroline Schoenewald, Devapratim Sarma, Jennifer Collinger, Sam Colachis, Gaurav Sharma, Dario Farina, Douglas J. Weber
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2019)
Proceedings Paper
Computer Science, Cybernetics
Collin Dunlap, Luke Bird, Ian Burkhart, Kaitlyn Eipel, Samuel Colachis, Nicholas Annetta, Patrick Ganzer, Gaurav Sharma, David Friedenberg, Robert Franklin, Marcus Gerhardt, Aniruddh Ravindran, Ali Hassani, Dimitar Filev, Florian Solzbacher, Marcia Bockbrader
2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)
(2019)