Sander Bohte

Prof. Sander Bohte is a part-time full professor of Computational Neuroscience at the University of Amsterdam (Swammerdam Institute of Life Sciences) and an honorary full professor of Bio-inspired Neural Networks at the University of Groningen. He serves as a Scientific Staff Member and Group Leader in the Machine Learning department at CWI, Amsterdam. His work bridges computational neuroscience and machine learning with a focus on continuous-time information processing.

Key research interests include:

• Spiking Neural Networks with predictive coding and multi-compartment models
• Biologically Plausible Learning in recurrent and deep architectures
• Working Memory modeling via reinforcement learning
• Neuromorphic Computing for real-time systems and GPU acceleration

His recent publications highlight trends in neural adaptation, predictive coding, and SNN hardware-software co-design. Awards include the Veni Innovational Research Grant (2004) and ERCIM grant (2013). He actively supervises MSc theses and leads grants like the NWO KIC project 'Selfhealing Neuromorphic Systems' (2024).