Jiping He - US grants
Affiliations: | Arizona State University, Tempe, AZ, United States |
Area:
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The funding information displayed below comes from the NIH Research Portfolio Online Reporting Tools and the NSF Award Database.The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
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High-probability grants
According to our matching algorithm, Jiping He is the likely recipient of the following grants.| Years | Recipients | Code | Title / Keywords | Matching score |
|---|---|---|---|---|
| 1998 — 2000 | He, Jiping | R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Cortical Control of Arm Movement Under Perturbations @ Arizona State University-Tempe Campus DESCRIPTION (Adapted from the Applicant's Abstract): The investigators have previously shown that the population vector of recorded motor cortical neurons predicts accurately and continuously the arm trajectory during a volitional movement. It is still unclear how this predictive signal relates to the muscle contractions used to move the arm and how it will interact with a perturbation in controlling arm movement. If an unexpected perturbation is applied to an animal s arm after its intended motion has already started, there will be deviations in movement trajectory and reactive changes in muscle activity. One would expect to see corresponding changes in the cortical activity patterns. This change may gradually evolve as the perturbation becomes a fixed feature of the movement. The investigators propose to examine this change in neuronal activities under both novel and adapted conditions toward the perturbation. The long term goal of this project is to understand control strategies used by the sensorimotor system as it interacts with an environment containing unexpected perturbations. The intent is that the information obtained through this investigation will help to develop control systems that utilize cortical signals to control neuromechanical prostheses or functional neuromuscular stimulation systems for humans with brain/spinal cord injury or other neurological damages. The proposed methodologies involve perturbing primate arm motions while simultaneously recording activities from a population of cortical neurons through a chronically implanted fine wire array electrode with up to 96 channels. Rhesus monkeys will be trained to perform a 3D, unrestrained, visually guided center->out reaching task. During each movement the investigators will simultaneously record and correlate arm trajectory, muscle activity and cortical cell activity. They will apply a transient perturbation to the arm by applying a sudden pulling force at the wrist after the initiation of the movement. This perturbation will be applied during every movement toward each of the eight pseudo-randomly presented targets. The effect of the perturbation on arm trajectory will be reduced as the animals learn that the perturbation is a fixed feature of the task. The perturbation will then be removed to examine the after-effects. They will examine the temporal relation among the activities of individual cortical cells and their population vectors, muscle activities, and endpoint movement directions and velocities, both before and after the perturbation. This is achieved by comparing data from four different phases of the experiment: the training phase for control data, the novel phase when the perturbation is first applied, the adaptation phase after the animals have learned the perturbation dynamics and effect, and the extinction phase upon removal of the perturbation. After the monkey adapts to the perturbations, they expect to see a predictive strategy demonstrated in the neuronal and muscle activity before the onset of the perturbation. The 3-D dynamic model of a monkey arm will be refined and used to evaluate strategies adopted by the monkey to minimize the effects of the perturbation. |
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| 2000 — 2008 | Hamm, Thomas He, Jiping Marzke, Mary (co-PI) [⬀] Stelmach, George (co-PI) [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Igert: Musculoskeletal and Neural Adaptations in Form and Function @ Arizona State University 9987619 |
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| 2002 — 2009 | Yamaguchi, Gary (co-PI) [⬀] He, Jiping |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Undergraduate Student Design Projects to Aid Persons With Disabilities @ Arizona State University 0221597 |
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| 2004 — 2011 | He, Jiping Panchanathan, Sethuraman Mcbeath, Michael (co-PI) [⬀] Rikakis, Thanassis (co-PI) [⬀] Qian, Gang [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Cise Ri: An Interdisciplinary Research Environment For Motion Analysis @ Arizona State University Over the past decade, human motion analysis has become an important research area with critical applications. It is attracting significant research efforts in a number of disciplines, such as computer vision (vision-based motion capture, human computer interface, human identification), robotics (navigation), dance and choreography (automatic dance documentation and dance instruction), music (digital conducting) and bioengineering (rehabilitation and motor behavior). Motion analysis is a complex problem due to the 3D nature of the human body; the infinite possibilities of human movements; variability of movement execution between different people; continuously adaptive learning through feedback from and interactions with the environment; and the inherent multiple levels of movement structure in terms of time, space and energy. This makes it unrealistic for a single discipline to address all aspects. Therefore, progress within each discipline moves at a slow pace. |
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| 2005 — 2006 | He, Jiping | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
U.S.-China Workshop On Neural Interface Science and Technologies, May 2006 @ Arizona State University Abstract |
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| 2005 — 2012 | Spanias, Andreas (co-PI) [⬀] Savenye, Wilhelmina (co-PI) [⬀] He, Jiping Sundaram, Hari (co-PI) [⬀] Rikakis, Thanassis [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Igert: An Arts, Sciences and Engineering Research and Education Initiative For Experiential Media @ Arizona State University This IGERT award at the Arts, Media and Engineering Program at Arizona State University will develop research and training mechanisms for the creation of a new class of media scientists. These scientists will produce new approaches for the integration of computational elements and digital media in the physical human experience. Their work will result in experiential media systems - hybrid physical-digital environments that address significant challenges in key areas of the human condition such as health, education and everyday living. |
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