CAREER: Robust Identification and Multi-Objective Control Methods for Neuronal Networks Under Uncertainty

职业：不确定性下神经网络的鲁棒识别和多目标控制方法

基本信息

批准号：
1845348
负责人：
Sabato Santaniello
金额：
$ 50万
依托单位：
University of Connecticut
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-03-01 至 2025-02-28
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1845348&HistoricalAwards=false
关键词：
CAREER Robust Identification Multi Objective

项目摘要

Overview: The control of biological neural networks underpins the development of minimally-invasive brain therapies as well as adaptive learning for cyber-physical systems, but it remains challenging because of the irregular dynamics involved. These systems also have sparse and weak connections and a range of dynamics that cannot be fully probed. There is an urgent need to determine the impact of unmodeled dynamics on the controllability of these networks and develop robust controls accordingly, otherwise controllers will remain underperforming, fragile, and hard to calibrate. This is the case for deep brain stimulation (DBS), which follows a conservative "one-size-fits-all" paradigm and remains underutilized despite having the potential to treat millions of people worldwide. The objective of this CAREER program is to develop identification methods that estimate the impact of unmodeled dynamics on neuronal circuits and a robust control framework for these circuits. Brain circuits targeted by Parkinson's disease and DBS will be considered to maximize the impact of the research. The work will be paired with educational plans that address current limitations in the training of neural engineers and broaden the presence of first-generation college students in STEM.Intellectual Merits: This research will fill critical gaps in the knowledge base that provides linkage between global dynamics of a neural network and dynamics of individual neurons under control. It will also contribute a robust control framework for neural populations and brain circuits. Educational activities will fill critical gaps in the training of neural engineers by integrating modeling and control in the design process of neural prostheses. Applied to DBS, this research will help personalize DBS to PD populations who are currently excluded from this treatment, thus enabling new options for chronically ill patients.Broader Impacts: The research will benefit the well-being of Parkinson's disease patients, including patients who are now excluded from DBS. The training of neural engineers will also be improved, thus helping the formation of a better-trained and more globally-competitive workforce. The integration of research and outreach will finally create a pipeline to attract high-school students towards STEM fields and facilitate the learning of engineering principles at the pre-college level.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

概述：生物神经网络的控制支撑着微创脑疗法以及网络物理系统自适应学习的发展，但由于涉及不规则的动态，它仍然具有挑战性。这些系统还具有稀疏且薄弱的连接以及一系列无法完全探测的动态。迫切需要确定未建模动态对这些网络可控性的影响，并相应地开发鲁棒控制，否则控制器将仍然表现不佳、脆弱且难以校准。深部脑刺激（DBS）就是这种情况，它遵循保守的“一刀切”范式，尽管有潜力治疗全球数百万人，但仍未得到充分利用。该职业计划的目标是开发识别方法来估计未建模动力学对神经元回路的影响以及这些回路的稳健控制框架。将考虑帕金森病和 DBS 所针对的大脑回路，以最大限度地发挥研究的影响。这项工作将与教育计划相结合，解决当前神经工程师培训的局限性，并扩大第一代大学生在 STEM 领域的影响力。智力优点：这项研究将填补知识库中的关键空白，提供全球动态之间的联系神经网络的结构和受控制的单个神经元的动态。它还将为神经群体和大脑回路提供强大的控制框架。教育活动将通过在神经假体设计过程中集成建模和控制来填补神经工程师培训的关键空白。这项研究应用于 DBS，将有助于针对目前被排除在这种治疗之外的 PD 人群进行个性化 DBS，从而为慢性病患者提供新的选择。更广泛的影响：该研究将有利于帕金森病患者的福祉，包括患有以下疾病的患者：现在已被排除在星展银行之外。神经工程师的培训也将得到改善，从而有助于形成一支训练有素、更具全球竞争力的劳动力队伍。研究和推广的整合最终将创建一个渠道，吸引高中生进入 STEM 领域，并促进大学预科阶段工程原理的学习。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持基金会的智力价值和更广泛的影响审查标准。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Editorial: Towards the Next Generation of Deep Brain Stimulation Therapies: Technological Advancements, Computational Methods, and New Targets

社论：迈向下一代深部脑刺激疗法：技术进步、计算方法和新目标

DOI：
10.3389/fnins.2021.737737
发表时间：
2021-08
期刊：
Frontiers in Neuroscience
影响因子：
4.3
作者：
Santaniello, Sabato;McConnell, George C.;Gale, John T.;Faghih, Rose T.;Kemere, Caleb;Hilliard, Justin D.;Han, Martin
通讯作者：
Han, Martin

Non-invasive suppression of essential tremor via phase-locked disruption of its temporal coherence

通过锁相破坏其时间相干性来非侵入性抑制特发性震颤

DOI：
10.1038/s41467-020-20581-7
发表时间：
2021-01-13
期刊：
Nature Communications
影响因子：
16.6
作者：
Schreglmann SR;Wang D;Peach RL;Li J;Zhang X;Latorre A;Rhodes E;Panella E;Cassara AM;Boyden ES;Barahona M;Santaniello S;Rothwell J;Bhatia KP;Grossman N
通讯作者：
Grossman N

Transcranial direct current stimulation of cerebellum alters spiking precision in cerebellar cortex: A modeling study of cellular responses

小脑经颅直流电刺激改变小脑皮质的尖峰精度：细胞反应的建模研究