27 papers · ranked by Valyu relevance
Nuno R. B. Martins, Amara Angelica, Krishnan Chakravarthy, Yuriy Svidinenko + 8 more
'Yuriy Svidinenko' 'Frank J. Boehm' 'Ioan Opris' 'Mikhail A. Lebedev' 'Melanie Swan' 'Steven A. Garan' 'Jeffrey V. Rosenfeld' 'Tad Hogg' 'Robert A. Freitas Jr.'] The Internet comprises a decentralized global system that serves humanity’s collective effort to generate, process, and store data, most of which is handled…
Radu Darie, Samuel R. Parker, Jonathan S. Calvert, Ekta Tiwari + 7 more
Modern neuroelectronic interfaces have shown great potential to diagnose conditions, address neurological dysfunction, and advance neuroscientific knowledge. However, neural interface systems today require tethered connections that restrict mobility, prevent testing across ecological contexts, and inhibit clinical…
Takashi D. Y. Kozai
Microscale neural technologies interface with the nervous system to record and stimulate brain tissue with high spatial and temporal resolution. These devices are being developed to understand the mechanisms that govern brain function, plasticity and cognitive learning, treat neurological diseases, or monitor and…
Ji-Won Hong, Chanwoong Yoon, Kyunghyun Jo, Joon Hee Won + 1 more
Title: Summary Along with the advancement in neural engineering techniques, unprecedented progress in the development of neural interfaces has been made over the past few decades. However, despite these achievements, there is still room for further improvements especially toward the possibility of monitoring and…
MohammadAli Shaeri, Jinhan Liu, Mahsa Shoaran
—Advanced neural interfaces are transforming applications ranging from neuroscience research to diagnostic tools (for mental state recognition, tremor and seizure detection) as well as prosthetic devices (for motor and communication recovery). By integrating complex functions into miniaturized neural devices, these…
Hoda Fares, Margherita Ronchini, Milad Zamani, Hooman Farkhani + 1 more
'Farshad Moradi'] With the recent developments in neuroscience and engineering technology, it is now possible to record brain signals and decode them. In parallel, a growing number of stimulation methods are being utilized to modulate and influence brain activity. These advancements opened the door for innovative…
G. Bilodeau, A. Miao, G. Gagnon-Turcotte, C. Ethier + 1 more
Bidirectional interfaces combined with neural de-coding algorithms are essential for closed-loop (CL) neuromodulation, enabling simultaneous neural monitoring and responsive optogenetic stimulation. However, implementing these capabilities in compact wireless headstages for freely moving animals remains challenging, as…
Anh Tuan Nguyen, Jian Xu, Ming Jiang, Diu Khue Luu + 9 more
While prosthetic hands with independently actuated digits have become commercially available, state-of-the-art human-machine interfaces (HMI) only permit control over a limited set of grasp patterns, which does not enable amputees to experience sufficient improvement in their daily activities to make an active…
Hanna Keren, Johannes Partzsch, Shimon Marom, Christian G. Mayr
Developing technologies for coupling neural activity and artificial neural components, is key for advancing neural interfaces and neuroprosthetics. We present a biohybrid experimental setting, where the activity of a biological neural network is coupled to a biomimetic hardware network. The implementation of the…
Gerwin Schalk, Samuel Worrell, Filip Mivalt, Alexander Belsten + 11 more
'Inyong Kim' 'Jonathan M. Morris' 'Dora Hermes' 'Bryan T. Klassen' 'Nathan P. Staff' 'Steven Messina' 'Timothy Kaufmann' 'Jörn Rickert' 'Peter Brunner' 'Gregory A. Worrell' 'Kai J. Miller'] This article describes initial work toward an ecosystem for adaptive neuromodulation in humans by documenting the experience of…
S. Buccelli, Y. Bornat, I. Colombi, M. Ambroise + 13 more
Recent advances in neurotechnology allow neurological impairments to be treated or reduced by brain machine interfaces and neuroprostheses. To develop energy-efficient and real-time capable devices, neuromorphic computing systems are envisaged as the core of next-generation ‘neurobiohybrid’ systems for brain repair. We…
David Sussillo, Patrick Kaifosh, Thomas Reardon
Since the advent of computing, humans have sought computer input technologies that are expressive, intuitive, and universal. While diverse modalities have been developed, including keyboards, mice, and touchscreens, they require interaction with an intermediary device that can be limiting, especially in mobile…
Usman Ghafoor, Sohee Kim, Keum-Shik Hong
For those individuals with upper-extremity amputation, a daily normal living activity is no longer possible or it requires additional effort and time. With the aim of restoring their sensory and motor functions, theoretical and technological investigations have been carried out in the field of neuroprosthetic systems.…
Shengjie Zheng, Ling Liu, Junjie Yang, Jianwei Zhang + 3 more
The development of artificial intelligence (AI) and robotics are both based on the tenet of "science and technology are peopleoriented", and both need to achieve efficient communication with the human brain. Based on multi-disciplinary research in systems neuroscience, computer architecture, and functional organic…
Rezwan Firuzi, Ayub Bokani, Jahan Hassan, Hamed Ahmadyani + 4 more
Over the centuries, our understanding of the human brain has increased signifcantly. Psychology and cognitive science are relatively new felds that have become involved in some of the most competitive research areas in contemporary times. Scientifc approaches to treating, manipulating, and simulating human behavior…
Junwen Luo
Neural ptosthetic devices offer the ability to develop novel treatments for previously incurable diseases and ailments, such as deafness, blindness and tetraplepia. There is the potential to extend this concept to incorporate cognitive prosthetics, whereby damaged individual neuron cells or larger brain regiops are…
Xuan-The Tran
Millions of individuals worldwide suffer from sensory and communication deficits caused by neurodegenerative diseases, stroke, or trauma. Brain-computer interfaces (BCIs) offer a promising avenue for sensory and motor restoration. However, the scientific literature remains highly fragmented between invasive…
Gunther Eysenbach, Sohrab Saeb, Joseph Salisbury, Alexander N Pisarchik + 2 more
'Alexander N Pisarchik' 'Vladimir A Maksimenko' 'Alexander E Hramov'] The first attempts to translate neuronal activity into commands to control external devices were made in monkeys yet in 1960s [1]. After that, during 1960-1970, the biological feedback was realized in monkeys, to provide voluntary control of the…
Diu Khue Luu, Anh Tuấn Nguyễn, Ming Jiang, Markus W. Drealan + 10 more
'Jian Xu' 'Tong Wu' 'Wing-kin Tam' 'Wenfeng Zhao' 'Brian Z. H. Lim' 'Cynthia K. Overstreet' 'Qi Zhao' 'Jonathan D. Cheng' 'Edward W. Keefer' 'Zhi Yang'] Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines.…
Uros Topalovic, Sam Barclay, Chenkai Ling, Ahmed Alzuhair + 14 more
Advancements in technologies that can record and stimulate deep-brain activity in humans have led to impactful discoveries within the field of neuroscience and contributed to the development of novel therapies for neurological and psychiatric disorders. Further progress, however, has been hindered by device limitations…
Max Talanov, Jordi Vallverdú, Andrew Adamatzky, Alexander Toschev + 17 more
'Alina Suleimanova' 'Alexey Leukhin' 'Ann Posdeeva' 'Yulia Mikhailova' 'Alice Rodionova' 'A. N. Mikhaylov' 'Alexantrou Serb' 'Sergey Shchanikov' 'Svetlana A. Gerasimova' 'Mohammad Mahdi Dehshibi' 'Alexander E. Hramov' 'Victor Kazantsev' 'Tatyana Tsoy' 'Evgeni Magid' 'Igor Lavrov' 'Victor Erokhin' 'Kevin Warwick'] Max…
Authors not listed
In this work we introduce TorchANI-Amber, an interface for routine molecular dy- namics simulations of biomolecular systems using ANI-style machine learning poten- tials. TochANI-Amber incorporates the ANI neural network potentials into the Amber software suite, supporting Amber’s two engines: sander and pmemd. In…
Authors not listed
Machine Learning Interatomic Potentials (MLIPs), trained with Quantum Mechanics data, can model potential energy surfaces for molecular systems with very high accuracy and extreme speedups compared to reference quantum calculations, offering a powerful tool for studying complex chemical and biological systems. This…
Kuwabara, Masaru, Kanai, Ryota
In individuals afflicted with conditions such as paralysis, the implementation of Brain-Computer-Interface (BCI) has begun to significantly impact their quality of life. Furthermore, even in healthy individuals, the anticipated advantages of brain-to-brain communication and brain-tocomputer interaction hold…
Authors not listed
We introduce an innovative machine learning (ML)-based framework for multiscale molecular modeling, in which the ML subsystem is treated as an electrostatic entity interacting with its molecular mechanics (MM) environment through classical electrostatics. The integration of ML accuracy with multiscale modeling is…
Authors not listed
We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. This framework streamlines the development of new interfaces by providing a reusable and extendable code base. It supports the…
Sara Tkaczyk, Johannes Karwounopoulos, Andreas Schöller, H. Lee Woodcock + 3 more
- 1. Faculty of Chemistry, Institute of Computational Biological Chemistry, Währingerstrasse 17, University of Vienna, Vienna, Austria - 2. Department of Pharmaceutical Sciences, Pharmaceutical Chemistry Division, Josef-Holaubek-Platz 2, University of Vienna, 1090 Vienna, Austria - 3. Doctoral School of Pharmaceutical…