Prashant Joshi
Papers
2
Total Citations
120
H-Index
2
About
Prashant Joshi is a leading researcher in computational neuroscience, with a primary focus on the neural mechanisms underlying movement generation and control. His work bridges the gap between the fast dynamics of spiking neurons and the slower, complex behaviors they produce. In his highly influential 2005 paper, "Movement Generation with Circuits of Spiking Neurons" (77 citations), Joshi demonstrated that linear readouts from generic neural microcircuit models can be trained to generate basic arm movements, revealing how stereotypical microcircuits can orchestrate actions lasting hundreds of milliseconds. Building on this, his 2004 study "Movement Generation and Control with Generic Neural Microcircuits" (43 citations) further explored how these circuits can be harnessed for precise motor control. Joshi’s contributions have provided foundational insights into the computational principles of neural microcircuits, offering a framework for understanding how the brain transforms rapid neural activity into coordinated movement. His work is essential reading for students and researchers in computational neuroscience, robotics, and neural engineering, as it opens new avenues for designing brain-inspired movement systems and advancing neuroprosthetics.
Research Focus
Key Achievements
Top Papers
- 1Movement Generation with Circuits of Spiking Neurons77 citations · 2005
- 2Movement Generation and Control with Generic Neural Microcircuits43 citations · 2004