MSc thesis project proposal

Computational neuroscience and bio-inspired circuits and algorithms

With the trend of increasing data being collected from myriads of sensors in the age of Internet of Things, it is increasingly more important to find methods to deal with the data as early as possible. Therefore, our prime interest is to extract information or patterns from the data which lead to insights and potential actions based on those insights. We take inspiration from one of the best known low-power pattern recognizers in the world--our brain!


Research topics are: Multi-chip neuron network for cognitive systems - realization of digital VLSI for massive scale biophysically accurate neuron simulation. Neuromorphic or neuro-inspired network - stochastics, structural plasticity and concurrent processing; development of control methodology for high data throughput. Neuromorphic learning machines- development of effective computation algorithms for spiking neural networks based on: extreme learning machine, support vector machine, liquid state machine or echo state networks.

Contact René van Leuken

Signal Processing Systems Group

Department of Microelectronics

Last modified: 2023-01-13