Closed-Loop Systems for Next-Generation Neuroprostheses
Millions of people worldwide are affected by neurological disorders which disrupt the connections within the brain and between brain and body causing impairments of primary functions and paralysis. Such a number is likely to increase in the next years and current assistive technology is yet limited....
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| Main Authors: | , , , |
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| פורמט: | Online |
| שפה: | אנגלית |
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Frontiers Media SA
2021
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| נושאים: | |
| גישה מקוונת: | 29695 |
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אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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| _version_ | 1869520815718924288 |
|---|---|
| author | Timothee Levi Paolo Bonifazi Paolo Massobrio Michela Chiappalone |
| author_browse | Michela Chiappalone Paolo Bonifazi Paolo Massobrio Timothee Levi |
| author_facet | Timothee Levi Paolo Bonifazi Paolo Massobrio Michela Chiappalone |
| author_sort | Timothee Levi |
| collection | Directory of Open Access Books |
| description | Millions of people worldwide are affected by neurological disorders which disrupt the connections within the brain and between brain and body causing impairments of primary functions and paralysis. Such a number is likely to increase in the next years and current assistive technology is yet limited. A possible response to such disabilities, offered by the neuroscience community, is given by Brain-Machine Interfaces (BMIs) and neuroprostheses. The latter field of research is highly multidisciplinary, since it involves very different and disperse scientific communities, making it fundamental to create connections and to join research efforts. Indeed, the design and development of neuroprosthetic devices span/involve different research topics such as: interfacing of neural systems at different levels of architectural complexity (from in vitro neuronal ensembles to human brain), bio-artificial interfaces for stimulation (e.g. micro-stimulation, DBS: Deep Brain Stimulation) and recording (e.g. EMG: Electromyography, EEG: Electroencephalography, LFP: Local Field Potential), innovative signal processing tools for coding and decoding of neural activity, biomimetic artificial Spiking Neural Networks (SNN) and neural network modeling. In order to develop functional communication with the nervous system and to create a new generation of neuroprostheses, the study of closed-loop systems is mandatory. It has been widely recognized that closed-loop neuroprosthetic systems achieve more favorable outcomes for users then equivalent open-loop devices. Improvements in task performance, usability, and embodiment have all been reported in systems utilizing some form of feedback. The bi-directional communication between living neurons and artificial devices is the main final goal of those studies. However, closed-loop systems are still uncommon in the literature, mostly due to requirement of multidisciplinary effort. Therefore, through eBook on closed-loop systems for next-generation neuroprostheses, we encourage an active discussion among neurobiologists, electrophysiologists, bioengineers, computational neuroscientists and neuromorphic engineers. This eBook aims to facilitate this process by ordering the 25 contributions of this research in which we highlighted in three different parts: (A) Optimization of different blocks composing the closed-loop system, (B) Systems for neuromodulation based on DBS, EMG and SNN and (C) Closed-loop BMIs for rehabilitation. |
| format | Online |
| id | doab-20.500.12854ir-43414 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-434142024-03-30T23:22:44Z Closed-Loop Systems for Next-Generation Neuroprostheses Timothee Levi Paolo Bonifazi Paolo Massobrio Michela Chiappalone R5-920 RC346-429 RC321-571 Q1-390 neuromodulation closed-loop experiments artificial spiking neural network neuroprostheses neuronal circuits stimulation thema EDItEUR::M Medicine and Nursing Millions of people worldwide are affected by neurological disorders which disrupt the connections within the brain and between brain and body causing impairments of primary functions and paralysis. Such a number is likely to increase in the next years and current assistive technology is yet limited. A possible response to such disabilities, offered by the neuroscience community, is given by Brain-Machine Interfaces (BMIs) and neuroprostheses. The latter field of research is highly multidisciplinary, since it involves very different and disperse scientific communities, making it fundamental to create connections and to join research efforts. Indeed, the design and development of neuroprosthetic devices span/involve different research topics such as: interfacing of neural systems at different levels of architectural complexity (from in vitro neuronal ensembles to human brain), bio-artificial interfaces for stimulation (e.g. micro-stimulation, DBS: Deep Brain Stimulation) and recording (e.g. EMG: Electromyography, EEG: Electroencephalography, LFP: Local Field Potential), innovative signal processing tools for coding and decoding of neural activity, biomimetic artificial Spiking Neural Networks (SNN) and neural network modeling. In order to develop functional communication with the nervous system and to create a new generation of neuroprostheses, the study of closed-loop systems is mandatory. It has been widely recognized that closed-loop neuroprosthetic systems achieve more favorable outcomes for users then equivalent open-loop devices. Improvements in task performance, usability, and embodiment have all been reported in systems utilizing some form of feedback. The bi-directional communication between living neurons and artificial devices is the main final goal of those studies. However, closed-loop systems are still uncommon in the literature, mostly due to requirement of multidisciplinary effort. Therefore, through eBook on closed-loop systems for next-generation neuroprostheses, we encourage an active discussion among neurobiologists, electrophysiologists, bioengineers, computational neuroscientists and neuromorphic engineers. This eBook aims to facilitate this process by ordering the 25 contributions of this research in which we highlighted in three different parts: (A) Optimization of different blocks composing the closed-loop system, (B) Systems for neuromodulation based on DBS, EMG and SNN and (C) Closed-loop BMIs for rehabilitation. 2021-02-11T10:03:10Z 2021-02-11T10:03:10Z 2018-11-16 17:17:57 2018 book 29695 16648714 9782889454662 https://directory.doabooks.org/handle/20.500.12854/43414 eng Frontiers Research Topics image/jpeg Attribution 4.0 International https://www.frontiersin.org/research-topics/3581/closed-loop-systems-for-next-generation-neuroprostheses Frontiers Media SA 10.3389/978-2-88945-466-2 10.3389/978-2-88945-466-2 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889454662 326 open access |
| spellingShingle | R5-920 RC346-429 RC321-571 Q1-390 neuromodulation closed-loop experiments artificial spiking neural network neuroprostheses neuronal circuits stimulation thema EDItEUR::M Medicine and Nursing Timothee Levi Paolo Bonifazi Paolo Massobrio Michela Chiappalone Closed-Loop Systems for Next-Generation Neuroprostheses |
| title | Closed-Loop Systems for Next-Generation Neuroprostheses |
| title_full | Closed-Loop Systems for Next-Generation Neuroprostheses |
| title_fullStr | Closed-Loop Systems for Next-Generation Neuroprostheses |
| title_full_unstemmed | Closed-Loop Systems for Next-Generation Neuroprostheses |
| title_short | Closed-Loop Systems for Next-Generation Neuroprostheses |
| title_sort | closed loop systems for next generation neuroprostheses |
| topic | R5-920 RC346-429 RC321-571 Q1-390 neuromodulation closed-loop experiments artificial spiking neural network neuroprostheses neuronal circuits stimulation thema EDItEUR::M Medicine and Nursing |
| topic_facet | R5-920 RC346-429 RC321-571 Q1-390 neuromodulation closed-loop experiments artificial spiking neural network neuroprostheses neuronal circuits stimulation thema EDItEUR::M Medicine and Nursing |
| url | 29695 |
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