IoN EVENTS http://www.ucl.ac.uk/ion/events-viewer/rss Mark Skinsley 2011-04-15T13:59:08Z Queen Square Alumnus Association Meeting 2013 http://www.ucl.ac.uk/ion/articles/events/queensquarealumnusassociationmeeting The Queen Square Alumnus Association is pleased to announce that a meeting will take place on the 8th and 9th July 2013. Lectures will be delivered by current and retired members of staff and Alumni. This event is open to all those who studied or worked at the National Hospital for Neurology and Neurosurgery and the UCL Institute of Neurology. David R Blundred 2013-01-20T14:00:47Z Lecture Theatre, 33 Queen Square 2013-07-07T23:00:00Z 2013-07-08T23:00:00Z MicroRNAs as novel targets in the pathogenesis and treatment of epilepsy http://www.ucl.ac.uk/ion/articles/events/micrornas UCL/Epilepsy Society/UCB Advanced Epilepsy Lecture Series 2013. Sarah Lawson 2013-05-15T12:18:48Z Gillat Lecture Theatre, Queen Square House, Institute of Neurology 2013-06-13T17:00:00Z 2013-06-12T23:00:00Z Synaptic transmission : invertebrate models http://www.ucl.ac.uk/ion/articles/events/synaptic UCL/Epilepsy Society/UCB Advanced Epilepsy Lecture Series 2013 Sarah Lawson 2013-05-15T15:45:55Z 2nd floor Seminar Room, Queen Square House, Institute of Neurology 2013-05-21T09:30:00Z 2013-05-20T23:00:00Z Statistical Parametric Mapping Courses: May 2013 http://www.ucl.ac.uk/ion/articles/events/SPM May 13 (Mon) - 15 (Wed) 2013 The course will present instruction on the analysis of EEG and MEG data.  The first two days will combine theoretical presentations with practical demonstrations of the different data analysis methods implemented in SPM.  On the last day participants will have the opportunity to work on SPM tutorial data sets under the supervision of the course faculty.  We also invite students to bring their own data for analysis. The course is suitable for both beginners and more advanced users. We advise students to gain at least some minimal familiarity with the methodology, for example, from reading introductory articles available from the SPM web page (http://www.fil.ion.ucl.ac.uk/spm/doc/intro/). Monday May 13th 9.00               REGISTRATION 9.30 -   9.45     SPM introduction and resources 9.45   - 10.30   What are we measuring with M/EEG?  10.30 - 11.15    Data pre-processing   11.15 -12.00    M/EEG pre-processing demo                      Lunch 13.00 - 13.45   General linear model and classical inference  13.45  - 14.30  Multiple comparisons problem and solutions Coffee 15.00 - 16.30  Tutorial on group M/EEG dataset analysis. Coffee 17.00 - 18.30  Tutorial on group M/EEG dataset analysis (continued) 19.00  onwards – Social Tuesday May 14th 9.30 - 10.15   Bayesian inference     10.15 - 11.15  M/EEG source analysis 11.15 - 12.00  The principles of DCM      Lunch 13.00 - 13.45 DCM for evoked responses 13.45 - 14.30 DCM demo                 Coffee 15.00 - 15.45  DCM for steady state responses 15.45 - 16.30  DCM for time-frequency Coffee 17.00 -17.45  Bayesian model selection and averaging 17.45              Clinic Karl Friston Wednesday May 15th 9.30 – 17.00 Practical hands-on session in UCL computer class (Cruciform B12). Participants can either work on SPM tutorial datasets or on their own data with the help of the faculty. admin lshepherd 2010-02-05T10:05:27Z 2013-05-12T23:00:00Z 2013-05-17T23:00:00Z Queen Square PACES Neurology Course http://www.ucl.ac.uk/ion/articles/events/Mrcp-Part-II-Course This will be an intensive clinical course for candidates preparing for the MRCP Part II examination. The programme detailed below will comprise clinical case demonstrations (in small groups) designed to prepare candidates for the PACES examination, preceded by a supporting lecture and discussion. The course will provide instruction on history taking, communication, ophthalmoscopy examination and presentation of patients covering a wide range of neurological conditions. admin zoot 2009-09-23T16:45:07Z Basil Samuel Outpatients' Department, Chandler Wing, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1 2013-05-10T23:00:00Z 2013-05-11T23:00:00Z