Mehrdad Salmasi

Max Planck UCL Centre for Computational Psychiatry and Ageing Research

Curriculum Vitae

  • Postdoctoral Fellow: Gatsby Computational Neuroscience Unit, University College London
  • PhD in Neuroscience: Ludwig Maximilian University of Munich, Bernstein Center for Computational Neuroscience
  • PhD in Electrical Engineering: Isfahan University of Technology
  • MSc in Electrical Engineering: Isfahan University of Technology
  • BSc in Electrical Engineering, BSc in Mathematics: Isfahan University of Technology

Research interests

  • Probabilistic Inference, Learning, and Planning in the Brain
  • Information Flow in Dynamic Synapses and Neural Networks
  • Analysis of Neural Data

Selected publications

Salmasi, M., & Sahani, M. (2022), "Learning neural codes for perceptual uncertainty," 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, 2022, pp. 2463–2468.

Salmasi, M., Loebel, A., Glasauer, S., & Stemmler, M. (2019). Short-term synaptic depression can increase the rate of information transfer at a release site. PLOS Computational Biology, 15(1), e1006666.

Salmasi, M., Büttner, U., & Glasauer, S. (2016). Fractal dimension analysis for spike detection in low SNR extracellular signals. Journal of Neural Engineering, 13(3), 036004.

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