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Jim Bednar November 2010

Doctoral Training Centre in Neuroinformatics and Computational Neuroscience. Jim Bednar November 2010. Informatics and the Life Sciences. The genome, cells, the brain, societies can be described as computational devices The School of Informatics includes:

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Jim Bednar November 2010

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  1. Doctoral Training Centre in Neuroinformatics and Computational Neuroscience Jim Bednar November 2010

  2. Informatics and the Life Sciences The genome, cells, the brain, societies can be described as computational devices The School of Informatics includes: - Bioinformatics (study of the genome) - Systems biology (study of networks in cells) - Neuroinformatics (study of information processing in brains and brain-like processing in computers)

  3. Find the biggest computer

  4. Neuroscience+Informatics = NeuroInformatics Biggest goal: Understanding the brain ! Wide ranging impact on: basic science health care and quality of life CS and engineering Understanding the brain is probably the most difficult scientific and engineering problem today

  5. Scientific Areas 1) Computational Neuroscience 2) Cognitive science 3) Clinical imaging algorithms and tools 4) Software systems and applications 5) Neuroengineering Current PhD projects examples: Cortical maps in the visual system Computational models of plasticity and memory maintenance Experiments and models of head direction anticipation in rats

  6. Scientific Areas 1) Computational Neuroscience 2) Cognitive science 3) Clinical imaging algorithms and tools 4) Software systems and applications 5) Neuroengineering Current PhD projects examples: ERP studies of familiarity and semantic memory Models and experiments on stereoscopic vision Imaging studies of the human basal ganglia.

  7. Scientific Areas 1) Computational Neuroscience 2) Cognitive science 3) Clinical imaging algorithms and tools 4) Software systems and applications 5) Neuroengineering Current PhD projects examples: Bayesian tractography of MRI data Automated NMR spectroscopy of brain metabolites Validated co-registration and segmentation of multi-modal MRI

  8. Scientific Areas 1) Computational Neuroscience 2) Cognitive science 3) Clinical imaging algorithms and tools 4) Software systems and applications 5) Neuroengineering Current PhD projects examples: Probabilistic models of handwriting Attention steered computer vision Bayesian multi-modal sensory integration

  9. Scientific Areas 1) Computational Neuroscience 2) Cognitive science 3) Clinical imaging algorithms and tools 4) Software systems and applications 5) Neuroengineering Current PhD projects examples: Resolving attractive and aversive stimuli in insect nervous systems Neuromorphic system to integrate visual and auditory maps Navigation by snapshots in desert ants and robots

  10. Doctoral Training Centre • New way of PhD training • Taught courses and research • 4 years in total • 1st yr: coursework 2nd -4th yr: PhD research • Group of 10-20 students in each year

  11. PhD projects • Students heavily involved in defining PhD project • Two supervisors per PhD project • Projects often interdisciplinary across departments

  12. Environment • Yearly retreat • Weekly journal club • Yearly DTC day • Industry day

  13. Applying to the DTC • This year: additional positions available in • Software Systems and Applications • Application form on the website: • www.anc.ed.ac.uk/dtc • First deadline is in January • Applications are accepted throughout the year • Fully funded for UK students • You can do an MSc first

  14. Career opportunities • Main career aim of most students: academic career • Industry interest is rising, but still small

  15. More info • Today: Adrianna Teriakidis, Room 3.02 • www.anc.ed.ac.uk/dtc

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