Arash Ahmadi
Papers
6
Total Citations
77
H-Index
5
About
Arash Ahmadi is a leading researcher at the intersection of neuromorphic engineering and biomedical systems, whose work focuses on the digital synthesis and hardware implementation of biological neuron models. His primary contributions lie in creating efficient, multiplierless digital realizations of spiking neural networks on FPGA platforms, enabling bio-mimetic processors for robotics and brain-inspired computing. His most cited work, "Digital Multiplierless Realization of Coupled Wilson Neuron Model" (45 citations), achieved a neuron switching speed of approximately 1 ms, demonstrating practical hardware efficiency. Ahmadi has also pioneered the digital synthesis of the Hindmarsh-Rose thalamic neuron model and developed low-cost biomimetic Central Pattern Generators (CPGs) for robotic locomotion, such as in hexapods. His innovative use of spiking neural networks to generate Pulse Width Modulation (PWM) signals bridges neuroscience and electronics, with applications in power converters and robotics. More recently, he has explored the digital implementation of deep brain stimulation effects on calcium signaling and neuro-glial networks, addressing Alzheimer’s disease mechanisms. Ahmadi’s work, spanning from fundamental neural modeling to applied soft robotics—including a millimeter-sized pneumatic actuator—demonstrates a rare ability to translate complex biological dynamics into tangible, high-impact engineering solutions.
Research Focus
Key Achievements
Top Papers
- 1Digital Multiplierless Realization of Coupled Wilson Neuron Model45 citations · 2018
- 2
- 3A low cost biomimetic implementation of a CPG based on AdEx neuron model8 citations · 2014
- 4Pulse width modulation (PWM) signals using spiking neuronal networks7 citations · 2017
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- 6