Shalom Darmanjian

Papers

Total Citations

H-Index

About

Shalom Darmanjian is a pioneering researcher in the field of brain-machine interfaces (BMIs), with a particular focus on the real-time signal processing and hardware implementation required for motor control of robotic prosthetics. His foundational work, including the highly cited 2004 study on a bimodal BMI for motor control, demonstrated how multi-channel neural spike data from cortical areas of owl monkeys could be mapped to 3D arm positions, addressing the limitations of continuous function approximators like artificial neural networks. Darmanjian’s major contributions lie in developing wearable, reconfigurable, and portable DSP systems that enable real-time neural-to-motor translation algorithms, as evidenced by his 2006 and 2007 papers on neural signal processors and distributed signal modeling. His designs prioritize low-power, compact solutions for practical BMI applications, achieving over 40 cumulative citations. Notably, his 2005 work on a portable wireless DSP system laid the groundwork for untethered neural decoding, a critical step toward clinically viable prosthetic control. Darmanjian’s research bridges computational neuroscience and embedded systems, making him a key figure in advancing BMI technology from laboratory experiments to real-world assistive devices.