Moslem Nouri
Papers
2
Total Citations
71
H-Index
2
About
Moslem Nouri is a researcher at the forefront of neuromorphic engineering, specializing in the digital realization of biological neural networks. His work bridges computational neuroscience and hardware implementation, with a primary focus on creating efficient, multiplierless digital architectures for spiking neuron models. Nouri’s most impactful contribution, his 2015 paper on the "Digital Multiplierless Realization of Two-Coupled Biological Hindmarsh–Rose Neuron Model," has garnered 64 citations, underscoring its significance in advancing the efficient simulation and hardware deployment of complex neural dynamics for applications ranging from brain disease research to robotics. He has further innovated by demonstrating how spiking neuronal networks can generate practical Pulse Width Modulation (PWM) signals on FPGA platforms, as detailed in his 2017 work. This approach, though with 7 citations, highlights a novel intersection of neuroscience and electronics, proposing biologically-inspired methods for controlling power converters and robotic systems. Nouri’s work is notable for its dual focus on theoretical modeling and tangible, low-power hardware implementations, positioning him as a key contributor to the development of next-generation neuromorphic systems that emulate the brain’s computational efficiency.
Research Focus
Key Achievements
Top Papers
- 1
- 2Pulse width modulation (PWM) signals using spiking neuronal networks7 citations · 2017