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. https://doi.org/10.1109/ISIT50566.2022.9834606.
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. https://doi.org/10.1371/journal.pcbi.1006666
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. https://doi.org/10.1088/1741-2560/13/3/036004