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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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Doctoral Training Centre in Neuroinformatics and Computational Neuroscience

Jim Bednar

November 2010

informatics and the life sciences
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)

neuroscience informatics neuroinformatics
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

scientific areas
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

scientific areas1
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.

scientific areas2
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

scientific areas3
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

scientific areas4
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

doctoral training centre
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
phd projects
PhD projects
  • Students heavily involved in defining PhD project
  • Two supervisors per PhD project
  • Projects often interdisciplinary across departments
environment
Environment
  • Yearly retreat
  • Weekly journal club
  • Yearly DTC day
  • Industry day
applying to the dtc
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
career opportunities
Career opportunities
  • Main career aim of most students: academic career
  • Industry interest is rising, but still small
more info
More info
  • Today: Adrianna Teriakidis, Room 3.02
  • www.anc.ed.ac.uk/dtc