Nima Salimi-Nezhad
Papers
3
Total Citations
71
H-Index
3
About
Nima Salimi-Nezhad is a pioneering researcher at the intersection of neuromorphic engineering and tactile sensory systems. His work focuses on developing bio-inspired hardware solutions that replicate human touch and pain perception, with profound implications for advanced prosthetics and robotics. Salimi-Nezhad’s most influential contribution, "A Digital Hardware Realization for Spiking Model of Cutaneous Mechanoreceptor" (2018, 35 citations), introduced a novel digital circuit that emulates the spiking behavior of slowly adapting (SA-I) and fast adapting (FA-I) mechanoreceptors, encoding tactile force with remarkable biological fidelity. He further advanced the field by exploring the synergy between touch and pain in "Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors" (2021, 23 citations), demonstrating how integrating nociceptor models can enhance sharpness discrimination—a critical feature for safe prosthetic interaction. His work on "A Digital Hardware System for Spiking Network of Tactile Afferents" (2020, 13 citations) established a comprehensive hardware framework for first-order afferent networks, bridging the gap between neural modeling and real-time sensory processing. With a cumulative impact exceeding 70 citations, Salimi-Nezhad is a leading voice in neuromorphic tactile systems, whose innovations promise to restore nuanced sensory feedback for amputees and equip robots with a protective sense of touch.
Research Focus
Key Achievements
Top Papers
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- 3A Digital Hardware System for Spiking Network of Tactile Afferents13 citations · 2020