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    Mathematics Institute

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    • 2008 – 2009 »
    • Non-Symposium Workshops »
    • Computational Neuroscience »
    • - Participants
    • D1: Friday, 3rd July 2009
    • D2: Saturday, 4th July 2009
    • D3: Sunday, 5th July 2009
    • D4: Monday, 6th July 2009
    • D5: Tuesday, 7th July 2009
    University of Warwick

    Summer School on Computational Neuroscience and Gene Circuits

    Organisers: Feng Jianfeng (Warwick), Markus Kirkilionis (Warwick), Lin Wei (Shanghai)
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    Mathematics Institute, University of Warwick, 3 -7 July 2009Zeeman Building, Room MS.03, The Street (Saturday, Sunday) and Complexity DTC, Room D1.07 (Friday, Monday, Tuesday)


    Aims:
    The first aim was to explore the current experimental and theoretical understanding of neuronal function (including both the single cell level and neuronal networks) and the influence on/of genetic regulation. We explored experimental techniques like imaging and genetic manipulation in all their different aspects. On the computational level we discussed the use of computing techniques and how this can support and explain phenomena in the interface of genetic regulation and neuronal behaviour, from image analysis to sophisticated simulation approaches.

    Programme: Friday, 3rd July, Saturday 4th July, Sunday 5th July, Monday 6th July, Tuesday 7th July.
    The workshop incorporated a summer school for students each morning. The afternoons had been reserved for scientific talks.

    Background: Computational neuroscience is a relatively mature area in computational biology. For example, the Hodgkin-Huxley model was proposed in 1952 describing the generation of action potential and the activities of potassium and sodium channels. The Hodgkin-Huxley is probably the most well known and successful model in system biology. It captures the essential features of the biological system at multiple spatial-temporal scales, from membrane currents, protein and chemical coupling to network oscillations, columnar and topographic architecture and finally learning and memory. These computational models are used to test hypotheses that can be directly verified by current or future biological experiments.

    neurons genes

    In general, computational neuroscience has played an important role in modelling cognitive neuroscience. However, we only have very few models bridging the gap between genes, proteins and neuronal activity. Our summer school is trying to bring the two areas together: computational neuroscience and computational molecular biology. The workshop aims at training the young generation to work on this cross-over.

    Sponsered by Warwick IAS

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    See also:

    Mathematics Research Centre

    Mathematical Interdisciplinary Research at Warwick (MIR@W)

    Past Events 

    Past Symposia 

    Registration:
    You can register for any of the symposia or workshops online. To see which registrations are currently open and to submit a registration, please click here.
    Contact:
    Mathematics Research Centre
    Zeeman Building
    University of Warwick
    Coventry CV4 7AL - UK
    E-mail:
    mrc@maths.warwick.ac.uk

    Mathematics Institute
    Zeeman Building
    University of Warwick
    Coventry CV4 7AL

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    Page contact: Markus Kirkilionis Last revised: Wed 16 Nov 2011
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