Melika Payvand
Scholar

Melika Payvand

Google Scholar ID: Ol_9mKgAAAAJ
Assistant Professor at Institute of Neuroinformatics, UZH and ETH Zurich
Brain-inspired computingNeuromorphic VLSI DesignSpiking Neural NetworksOn-chip online learningMemristive devices
Citations & Impact
All-time
Citations
2,541
 
H-index
27
 
i10-index
39
 
Publications
20
 
Co-authors
140
list available
Resume (English only)
Research Experience
  • Research areas cover computational ethology, multimodal action recognition (from video and audio), machine learning approaches for sound separation and vocal segmentation, statistical inference of social learning strategies, reinforcement learning of vocal repertoires, sensory substitution, neural population recording and analysis, and wireless brain imaging, among others.
Background
  • Research interests include how intelligence emerges from the physical substrate, particularly focusing on the relationship between brain structure and function.
Miscellany
  • Quotes Misha Mahowald: 'We can’t afford that all of our research is devoted to the machine, because what we are trying to learn about isn’t the machine we are building: it’s the brain.'