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Posts Tagged ‘Research’

Advice on writing a paper

Posted by joyboseroy on October 18, 2007

Ask yourself the following questions (Jon’s advice: any good paper should answer all of them): What is the problem? Is the problem important? Has it being solved? Have you solved it?

Gavin’s advice: The smaller the title and abstract, the better it is. Trick is to find related papers, group them in chronological order, build a storyline and establish the gap for your paper, how its completely unique. Write a paper draft outline with methology, experiments, analysis and conclusion, and an abstract before even starting to write the paper.

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My research, study and further work

Posted by joyboseroy on October 18, 2007

I attended the following conferences along with assorted workshops/tutorials: nips in vancouver and whistler in december 2003, bics in sterling in august 2004, ijcnn in montreal in august 2005, icann in warsaw and torun in september 2005, mathematical neuroscience workshop in edinburgh in 2004.

I am at this moment working as a software engineer, hoping to get back into academia after say a couple of years in industry, writing a research paper with my co-authors in an area combining sequence learning, spiking neurons, rank order codes, associative memories, neural engineering, etc wondering how best to focus the paper.

I also hope to engage in coming months in doing some research experiments (as a hobby), studying the feasibility of doing the experiments I mentioned in my PhD thesis future work section, think about how the work can be commercially deployed at all (say in applications of companies like google and rolls royce) or at least how to reproduce the state of the art.

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Resources in Computational Neuroscience

Posted by joyboseroy on October 18, 2007

Computational neuroscience is a fascinating field. If you are interested to get into it (or in a related field such as neural networks), congrats and get busy. Join comp-neuro@neuroinf.org and connectionists@cs.cmu.edu mailing lists. If you are in UK, you can join the following societies: NCAF (natural computing applications forum), IEEE Computational intelligence society which publishes IEEE-TNN and IJCNN, INNS or international neural networks society who publish the journal neural networks. Read the online free encyclopedia at scholarpedia, an initiative led by Izhikevich. Search in internet in the former conference websites of IJCNN, NIPS, ICANN, IWANN etc and see their tutorials and workshops section, same for the MIT, UCL Gatsby and Redwood Neuuroscience institute journal clubs, also see the syllabus and maybe exams, lectures and other course material for course modules in the area of computational neuroscience or the wider fields of artificial intelligence, machine learning and neural networks. Read maybe the introduction to computational neuroscience (trappenberg), scientific american book of the brain, neuroscience by Kendal, schwartz and jessel, theoretical neuroscience by dayan and abbott, neural networks by simon haykin, the book on pattern recognition by Christopher Bishop, encyclopedia of computational neuroscience edited by Arbib. Read different books on the issue, especially the biology/physiology side of it with computer science. Keep yourself updated of the latest research by seeing journal issues announcements in the mailing lists and going to the journals websites or the authors websites and reading their listed papers that you can access for free. Download and learn to use common simulators like SNNS, matlab NN toolbox, spiking neural simulators like GENESIS and NEURON etc. Good search engines for resourcing this field are google scholar and http://citeseer.ist.psu.edu/

For those interested in careers in the area (postdoc and lecturers), first look through job adverts in the mailing lists and also in Nature and New Scientist jobs, jobs.ac.uk and in the US the Chronicle of Higher education. Make a list of skills they are looking forand decide where your interests lie and whats the future path you need to take, write a proper grant and research proposal.

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