Denis Alevi
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📧 denis.alevi@bccn-berlin.de
🐦 @denis_alevi
Denis studied Physics at Heidelberg University, where he worked on Neuromorphic Hardware for his bachelor’s thesis. He then continued to study Computational Neuroscience at the Bernstein Center in Berlin. Denis joined the lab for his master’s thesis in 2017 and is currently a PhD student. He is trying to understand how biologically motivated constraints to network architectures can lead to episodic to semantic memory transformations during systems memory consolidation. To this end, he uses methods from machine learning, computational models from neuroscience and mathematical analyses. He is further interested in the olfactory memory system of the Drosophila brain as a model system to investigate mechanisms of memory transfer. Denis is also interested in algorithms for simulating spiking neural networks on graphics processing units and is developing the open source software Brian2CUDA.