Integrating Sense of Direction in Cortical Control of Navigation

将方向感整合到导航的皮质控制中

基本信息

  • 批准号:
    0702057
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-07-01 至 2011-06-30
  • 项目状态:
    已结题

项目摘要

Proposal Number: 0702057Proposal Title: Integrating Sense of Direction in Cortical Control of NavigationPI Name: Si, Jennie PI Institution: Arizona State UniversityThe objective of this research is to study a specific set of sensory motor integration tasks to gain fundamental understanding of cognition based navigational control. The approach is to chronically record from the anterior thalamic nucleus and the motor areas simultaneously in behaving rats. The proposed behavioral apparatus consists of a directionally controlled robotic vehicle which the rat can steer left, right, or straight ahead by pressing one of three corresponding levers. At the start of each trial, the vehicle is preset to move in a biased direction that requires a sequence of corrections from the rat's lever control to reach a destination. The proposed work also attempts at modeling and interpreting how neural information from sensory and motor areas interact and impact on one another in relation to the cognitive direction based navigational control. Intellectual merit. The ability to study neuronal mechanism of high order cognition has just become possible with technological advancement and the fast developing knowledge from relevant disciplines. The proposed research is a concrete step to break the ground toward an understanding of skilled movement that requires sophisticated sensory motor integration.Broader impacts. As most of the research has focused on specific cue-directed movements, the proposed work has the potential to break new ground and provide a cognitive perspective of the complex movement control systems with quantitative and neurophysiological evidence obtained through chronic neural recordings. New brain machine interfaces may become possible relying on cognition based navigation and control.
提案号:0702057提案标题:在导航皮层控制中整合方向感PI名称:Si, Jennie PI机构:亚利桑那州立大学本研究的目的是研究一组特定的感觉运动整合任务,以获得基于认知的导航控制的基本理解。该方法是对行为大鼠的丘脑前核和运动区同时进行慢性记录。提出的行为装置由一个方向控制的机器人车辆组成,老鼠可以通过按三个相应的杠杆之一来向左、向右或直线前进。在每次试验开始时,车辆都预先设定在一个有偏差的方向上移动,这需要大鼠的杠杆控制进行一系列修正才能到达目的地。提出的工作还试图建模和解释来自感觉和运动区域的神经信息如何在基于认知方向的导航控制中相互作用和相互影响。知识价值。随着技术的进步和相关学科知识的快速发展,研究高阶认知的神经元机制成为可能。这项提议的研究是为理解需要复杂感觉运动整合的熟练运动而迈出的具体一步。更广泛的影响。由于大多数研究都集中在特定的线索导向运动上,本研究有可能开辟新路,并通过慢性神经记录获得定量和神经生理学证据,为复杂的运动控制系统提供认知视角。依靠基于认知的导航和控制,新的脑机接口可能成为可能。

项目成果

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Jennie Si其他文献

Evidence of a mechanism of neural adaptation in the closed loop control of directions
方向闭环控制中神经适应机制的证据
Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability
基于近似动态规划的双馈风电场补充无功控制增强电力系统稳定性
  • DOI:
    10.1016/j.neucom.2015.03.089
  • 发表时间:
    2015-12
  • 期刊:
  • 影响因子:
    6
  • 作者:
    Guo Wentao;Feng Liu;Jennie Si;Dawei He;Ronald Harley;Shengwei Mei
  • 通讯作者:
    Shengwei Mei
Development of a Start-Stop Signal for a Directional BMI.
定向 BMI 启停信号的开发。
Scaling Up to the Real
扩展到真实情况
  • DOI:
  • 发表时间:
    2003
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jennie Si;Andrew G. Barto;Warren Powell;Don Wunsch;New York;Chichester • Weinheim;Brisbane • Singapore;Toronto Contents;Silvia Ferrari;Robert F. Stengel
  • 通讯作者:
    Robert F. Stengel
Approximate Robust Policy Iteration Using Multilayer Perceptron Neural Networks for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Correlated
使用多层感知器神经网络进行近似鲁棒策略迭代,用于具有不确定相关性的贴现无限视野马尔可夫决策过程
  • DOI:
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Transition Matrices;Baohua Li;Jennie Si
  • 通讯作者:
    Jennie Si

Jennie Si的其他文献

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{{ truncateString('Jennie Si', 18)}}的其他基金

Collaborative Research: HCC: Medium: Learning to coordinate between human and a robotic prosthesis for symbiotic locomotion
合作研究:HCC:中:学习协调人类和机器人假体之间的共生运动
  • 批准号:
    2211740
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: Reinforcement learning based adaptive optimal control of powered knee prosthesis for human users in real life
协作研究:基于强化学习的现实生活中人类用户动力膝关节假体的自适应最优控制
  • 批准号:
    1808752
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CHS: Medium: Collaborative Research: Novel Optimal Control for Co-Adaptation of Human and Powered Lower Limb Prosthesis
CHS:媒介:协作研究:人类和动力下肢假肢共同适应的新型最优控制
  • 批准号:
    1563921
  • 财政年份:
    2016
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
An Integrated View on Neural Correlates of Attention and Control
关于注意力和控制的神经相关性的综合观点
  • 批准号:
    1232298
  • 财政年份:
    2012
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Dynamic organization of motor cortical neural activities in learning control tasks
学习控制任务中运动皮层神经活动的动态组织
  • 批准号:
    1002391
  • 财政年份:
    2010
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
2006 NSF Workshop and Outreach Tutorial on Approximate Dynamic Programming: Bridging Neural Networks and AI for Managing Complex Systems will be held Spring 2006 in Cancun
2006 年 NSF 近似动态规划研讨会和推广教程:桥接神经网络和人工智能来管理复杂系统将于 2006 年春季在坎昆举行
  • 批准号:
    0541949
  • 财政年份:
    2005
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
A Control-Theoretic Approach to Learning and Approximate Dynamic Programming (ADP) with Applications to High Performance Racing
学习和近似动态规划 (ADP) 的控制理论方法及其在高性能赛车中的应用
  • 批准号:
    0401405
  • 财政年份:
    2004
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
An Animal-in-the-Loop, Approximate Dynamic Programming Based Robotic Design Paradigm
基于动物循环、近似动态规划的机器人设计范式
  • 批准号:
    0233529
  • 财政年份:
    2003
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
NSF Workshop on Learning and Approximate Dynamic Programming in Playacar, Mexico.
NSF 学习和近似动态规划研讨会在墨西哥 Playacar 举行。
  • 批准号:
    0223696
  • 财政年份:
    2002
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Robust and Scalable On-Line NDP Designs and Applications to Semiconductor Process Optimization
稳健且可扩展的在线 NDP 设计及其在半导体工艺优化中的应用
  • 批准号:
    0002098
  • 财政年份:
    2000
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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  • 批准号:
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