Faramarz Faghihi
Papers
2
Total Citations
48
H-Index
2
About
Faramarz Faghihi is a researcher at the intersection of computational neuroscience, systems biology, and cognitive developmental robotics. His work focuses on building biologically plausible computational models that bridge the gap between neural mechanisms and behavior. Faghihi’s most cited paper, “A computational model of conditioning inspired by Drosophila olfactory system” (2016, 35 citations), presents a detailed neural network model that replicates key features of classical conditioning in fruit flies, offering insights into how simple neural circuits learn and adapt. His 2017 opinion article in *Frontiers in Neurorobotics* (13 citations) further explores how integrating computational systems biology with neuroscience can inform the next generation of “Cognitive Developmental Robotics,” aiming to create robots that learn and develop like biological organisms. By combining these disciplines, Faghihi contributes to a deeper understanding of learning and memory at both the molecular and systems levels, with implications for both artificial intelligence and neurobiology. His work exemplifies a forward-looking approach to modeling cognition from the bottom up.
Research Focus
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Top Papers
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