Questionnaire on Neuroinformatics in the UK

Neuroinformatics is concerned with the application of techniques from the mathematical, physical, engineering and computing sciences to neuroscience research questions.

Progress in neuroscience requires the integration of knowledge at many different levels of the nervous system, across many different spatial and temporal scales. Neuroinformatics can support neuroscience in lots of ways, including the application of techniques for the efficient integration and sharing of data, for mathematical analysis and for computational modelling. This can facilitate the testing of hypotheses and increase the scope of experiments that can be performed.

To gauge the interest amongst UK neuroscientists in neuroinformatics, the UK Neuroinformatics Network has devised this questionnaire. It is designed to answer two key questions:

  1. What interest in neuroinformatics is there within the UK neuroscience community?
  2. What are the specific neuroinformatics interests of people within the UK?

We will be very grateful for your responses to the following questions. All answers will be treated in strict confidence. The results of the questionnaire will be collated in a form that will not identify specific respondents. The results will be communicated to MRC, EPSRC and BBSRC, the joint funders of the Network, and will be posted on this website.

It is expected that the results of this questionnaire will inform UK policy on neuroinformatics. One current issue concerns the role that the UK might play in international neuroinformatics, particularly in the recently formed International Neuroinformatics Coordinating Facility.

Each text field where an extended answer is required allows 320 characters, which is around 4 lines.

GENERAL
(Hint: think about the 'headline message' of your grant proposals)
ABOUT YOUR DATA
Eg: imaging data, spike trains, single cell recordings, simulated data.
Eg: by recording spike trains, by imaging synapses, by accessing databases over the internet.
Eg: compute spike train statistics, construct a multicompartmental model.
Eg: I have too much experimental data to handle; How do I quantify the differences between spike trains?
Eg: speed of transfer, ethical problems, compatability problems.
MODELLING
DATA ANALYSIS
ABOUT YOUR COLLABORATIONS
ABOUT YOU