GCR: Synthetic Neurocomputers for Cognitive Information Processing
GCR:用于认知信息处理的合成神经计算机
基本信息
- 批准号:2121003
- 负责人:
- 金额:$ 360万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2026-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The project brings together material scientists and electrical engineers who build synthetic 3D scaffolds with embedded electronic and optoelectronic devices, neuroscientists who culture neural cells on the 3D scaffold to form biological neural networks with precisely defined 3D topology and integrated multimodal information interfaces, chemists and chemical engineers who synthesize functional molecules for controlling the neural cell placement, development, and activity, and computer scientists who operate the neurocomputer prototype and extract its information-coding and processing algorithms with machine-learning methods. The goals of the project are to contribute to the grand challenge of reverse engineering the brain and open up new computing paradigms based on cultured biological neural networks to propel machine learning and artificial intelligence to the next level. The neurocomputer prototype pursued in the project employs biological neuronal circuits engineered into well-defined 3D topologies reminiscent of deep-neural-network models as the information-processing units. Electronic and optoelectronic devices will be integrated with each neural cell to administer and monitor the neuronal and synaptic activities based on electrophysiology, optogenetics, and neurochemistry. The fabricated neurocomputer prototype will then be utilized to perform various learning and computing tasks such as image recognition and space navigation. Neural code and learning algorithms will be extracted using a combination of experiment and simulations based on spike generation models and recurrent neural network models. The results will help reveal how complex living neural networks function and provide a technologically transformative approach to information-processing machines.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.
该项目汇集了材料科学家和电气工程师,他们用嵌入式电子和光电设备构建合成3D支架,神经科学家在3D支架上培养神经细胞,形成具有精确定义的3D拓扑结构和集成多模态信息接口的生物神经网络,化学家和化学工程师合成功能分子,用于控制神经细胞的放置,发育和活动,以及计算机科学家,他们操作神经计算机原型,并利用机器学习方法提取其信息编码和处理算法。该项目的目标是为大脑逆向工程的巨大挑战做出贡献,并基于培养的生物神经网络开辟新的计算范式,以推动机器学习和人工智能更上一层楼。该项目中追求的神经计算机原型采用生物神经元电路,这些神经元电路被设计成定义良好的3D拓扑结构,让人想起深层神经网络模型作为信息处理单元。电子和光电设备将与每个神经细胞集成,以基于电生理学、光遗传学和神经化学来管理和监测神经元和突触活动。然后,制造的神经计算机原型将用于执行各种学习和计算任务,如图像识别和空间导航。神经代码和学习算法将使用基于尖峰生成模型和递归神经网络模型的实验和模拟相结合来提取。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Qing Cao其他文献
Metagenomic next-generation sequencing in detecting pathogens in pediatric oncology patients with suspected bloodstream infections
宏基因组下一代测序检测疑似血流感染的儿科肿瘤患者的病原体
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:3.6
- 作者:
Jing Wu;Wenting Song;Hui Yan;Chengjuan Luo;Wenting Hu;Li Xie;Nan Shen;Qing Cao;X. Mo;Kang An;Yue Tao - 通讯作者:
Yue Tao
Individual and combined hepatocytotoxicity of DDT and cadmium in vitro
DDT 和镉的体外单独和联合肝细胞毒性
- DOI:
10.1177/07482337211007361 - 发表时间:
2021 - 期刊:
- 影响因子:1.9
- 作者:
Ying;Qing Cao;Ming;Lin Yang;Yi - 通讯作者:
Yi
Efficiency Centric Communication Model for Wireless Sensor Networks
无线传感器网络以效率为中心的通信模型
- DOI:
- 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Qing Cao;T. He;Lei Fang;T. Abdelzaher;J. Stankovic;S. Son - 通讯作者:
S. Son
Morphology of the abdominal segmental glands and spinning behaviour of Stenus larvae (Coleoptera, Staphylinidae).
腹节腺的形态和 Stenus 幼虫(鞘翅目,葡萄科)的旋转行为。
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:2
- 作者:
Ana Zippel;Qing Cao;O. Betz - 通讯作者:
O. Betz
Effect of Crystallographic Anisotropy on Phase Transformation and Tribological Properties of Ni-Rich Niti Shape Memory Alloy Fabricated by Lpbf
晶体各向异性对Lpbf制备富镍镍钛形状记忆合金相变和摩擦学性能的影响
- DOI:
10.2139/ssrn.4200154 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
G. Shi;Lunxiang Li;Zhenglei Yu;Pengwei Sha;Qing Cao;Zezhou Xu;Yui;Yunting Guo;Jiashun Si;Jiabao Liu - 通讯作者:
Jiabao Liu
Qing Cao的其他文献
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{{ truncateString('Qing Cao', 18)}}的其他基金
FuSe: Co-designing Continual-Learning Edge Architectures with Hetero-Integrated Silicon-CMOS and Electrochemical Random-Access Memory
FuSe:利用异质集成硅 CMOS 和电化学随机存取存储器共同设计持续学习边缘架构
- 批准号:
2329096 - 财政年份:2023
- 资助金额:
$ 360万 - 项目类别:
Continuing Grant
MRI: Track 1 Acquisition of an Atomic-Layer Deposition System with Remote Plasma Activation of Surface Processes
MRI:轨道 1 采集具有表面过程远程等离子体激活的原子层沉积系统
- 批准号:
2320739 - 财政年份:2023
- 资助金额:
$ 360万 - 项目类别:
Standard Grant
Two-Dimensional Amorphous Carbon with Tunable Atomic Structures As A Novel Dielectric Material for Advanced Electronic Applications
具有可调原子结构的二维非晶碳作为先进电子应用的新型介电材料
- 批准号:
2139185 - 财政年份:2022
- 资助金额:
$ 360万 - 项目类别:
Standard Grant
High-Performance and CMOS-Compatible Electrochemical Random Access Memory For Neuromorphic Computing
用于神经形态计算的高性能且 CMOS 兼容的电化学随机存取存储器
- 批准号:
1950182 - 财政年份:2020
- 资助金额:
$ 360万 - 项目类别:
Standard Grant
Bioinspired Antimicrobial Flexible Polymer Thin Films: Fabrication, Mechanism, and Integration for Multi-Functionality
仿生抗菌柔性聚合物薄膜:多功能的制造、机理和集成
- 批准号:
2015292 - 财政年份:2020
- 资助金额:
$ 360万 - 项目类别:
Standard Grant
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