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Nijmegen, Netherlands

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Physics and Astronomy: Neurophysics

Master of Science at Radboud University

Programme details
Degree: Master of Science (MSc)
Discipline: Human Medicine
Duration: 24 months
ECTS points: 120
Study modes: full-time
Other students were also interested in this programme:
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Learn more now


Description:

Our brain contains many ingenious networks of billions of interconnected neurons. Together, they have an information processing capacity and flexibility that far exceeds modern supercomputers, or any artificial intelligent system. In this specialisation, we aim at unravelling the neuro-computational mechanisms of this fascinating, complex system using experimental approaches, advanced theory and computational models.

Neurophysics: Something for you?

  • Study the neurocomputational mechanisms of functional neural circuitry in the brain
  • Study at the Donders Centre for Neuroscience
  • Combine your passion for Neuroscience with solid physics and data science
  • Courses have a strong focus on experimental and theoretical research methods.
  • Students are very satisfied with this study programme. (source: Elsevier 2019)

What will you learn?

The major topics in the Neurophysics specialisation are:

  • Sensory-motor integration We study sensorimotor control mechanisms (eye-head-hand coordination), sensory processing (vision, audition, touch, and balance), and memory and learning. We also identify their underlying neuro-computational processes, their relevance for robotics and neuro-technology, like the development of neuro-prostheses, and the clinical implications in case of malfunction.
  • Machine learning, Neuroinformatics, and Artificial IntelligenceThe computational and theoretical analysis of complex neural networks, ranging from simulating large-scale interactions between individual neurons, to communication between different brain areas, and the closed-loop interactions between brain, body and environment. The theoretical work focuses on the development of machine-learning and artificial intelligence models, and on the applications of optimal control.

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