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What was your favorite talk and why?
#Response DateResponse Text
1Jun 29, 2009 7:31 PMgreg worrell's and cathy schevon's great works towards seizure generation
2Jun 29, 2009 7:51 PMEpilepsy Models and Their Relevance to Humans by Ivan Soltesz Useful insights from animal models.
3Jun 29, 2009 8:46 PMSchiff's talk balanced many issues. And the VNS-feedback was interesting and noteworthy because here you had an actual practical test of a DEPLOYED detection and treatment syetem - the method of evalutaiton and the lessons learned are thus clearly valuable, not just an exercise in signal processing of a "time series."
4Jun 29, 2009 8:46 PMN.A.
5Jun 29, 2009 9:32 PMThe talk about networks: this exposed me to some entirely novel (to me) ways to think about EEG applications
6Jun 30, 2009 12:53 AMPatient Perspectives because it brought clinical meaning to the technical research
7Jun 30, 2009 6:19 AMOn Thursday, June 4, 2007, during Engineering, Math, Physics for MDs Didactic Course (07:50-15:15), Talk "Non-linear Dynamical Tools" by Dr. Ralph Andrjezak. Excellent example of what a talk during a didactic course should be like, with plenty of discussion and explanatory examples. Manuscript with detailed description of the talk and MATLAB scripts were also provided by the speaker on his personal web site.
8Jun 30, 2009 7:47 AMA SVM assembly classifier for epileptic seizure detection. Presents a nice and simple answer to seizure detection.
9Jun 30, 2009 8:44 AMProbably two cannot be split: Soltesz on cannibinoids (appeals to me as a physiologist specialising in epilepsy) and Irazoqui (I like the strategy for his telemetry and may collaborate with him)
10Jun 30, 2009 9:21 AM- Classification of Epilepsy and Seizures: A Video Presentation (14:15-15:15) Steven Weinstein (shown huge complexity of clinical manifestations of seizures - Non-linear Dynamical Tools (11:15-12:15) Ralph Andrzejak (even if this was very introductory, it is very needed) - State Transitions in the Epileptic Brain (16:20-17:10) Stiliyan Kalitzin (nice model and lot of theory of dynamical systems) - Applications of Control Theory to Epilepsy (17:10-18:00) Steven Schiff (interesting ideas and insights into cybernetics) - Interictal Fast Ripples Recorded from a Dense Microelectrode Array in Human Epileptic Neocortex. Catherine Schevon (emphasis on microelectrode recordings and HFOs) - High-Frequency Oscillations in the Epileptic Brain: What is Good and What is Bad? Michel Le Van Quyen (LENA-CNRS, Paris, France) (emphasis on microelectrode recordings and HFOs) Debates were great. I would pick the debate about Coherence. Phase synchronization – is it worthwhile as measured? Debaters: “No” – Steven Schiff (Pennsylvania State Univ., University Park, PA, US) “Yes” – Florian Mormann (California Institute of Technology, Pasadena, CA, US)
11Jun 30, 2009 11:36 AMMost didactic lectures (for engineers/physicists) were very interesting and useful.
12Jun 30, 2009 2:07 PMNo clear favorite.
13Jun 30, 2009 5:28 PMDrs. Wennburg, Jeffreys and Schulze-Bonhage. Because I learned most from their talks.
14Jun 30, 2009 5:37 PMDrs. Wennburg, Jeffreys and Schulze-Bonhage. Because I learned most from their talks.
15Jun 30, 2009 8:00 PMThe debate on the use of synchrony measures on EEG recordings - a lot of excellent issues were brought up and discussed.
16Jul 1, 2009 3:13 PMMany good. Cannot point to a single one.
17Jul 1, 2009 5:44 PMI particularly enjoyed Dr. Steven Schiff's talk about using tools from engineering, weather prediction, probability etc. to aid in the prediction and control of intractable human epilepsy. The tools seem applicable to the problem of seizure prediction/control as they are used with decent success to predict/control other chaotically complex systems.
18Jul 2, 2009 1:43 AMSteve Schiff's talk on control theoretic approaches to seizure suppression was my favorite talk because I believe the IWSP4 community is under-appreciating the utility of external inputs to simplify prediction of complex dynamics.
20Jul 4, 2009 6:13 AMThose from the group of Didier Sornette, Ivan Osorio and John Milton. Because I agree with their perspective from complex systems, my research is precisely in that way.
21Jul 6, 2009 8:34 PMWalter Freeman; "Lessons from Nonlinear Brain Dynamics....". For a layman, such as myself, Dr. Freeman did a great job of putting into context and then explaining the subject matter. From the measurement perspective, I was able to understand the challenges associated with developing better detection techniques.
22Jul 7, 2009 1:04 AMWalter Freeman good mix of basic science, history, still pertinent
23Jul 7, 2009 4:20 PMTesting Null Hypotheses about Seizure Prediction Algorithms. Ralph Andrzejak for its relevance and clarity
24Jul 8, 2009 6:34 PMThe keynote speaker introduced many ideas I didn't know anything about
25Jul 8, 2009 6:56 PMI liked the debates on HFOs and phase info. These debates showed that there's promise in studying these phenomena but that you be deceived.
26Jul 8, 2009 7:50 PMabout surrogate test, because I am interesting in anesthesia monitoring technique
27Jul 9, 2009 8:50 AMIndustrial session. Our final aim with doing research is to get the methods out and commercialised. Collaboration with industry could also improve the possibilities of getting funding for projects.
28Jul 10, 2009 5:36 AMI liked them all because I learned something new in each one I attended.
29Jul 10, 2009 11:19 AMNon-linear dynamical tools by Ralph Andrzejak Because of its profound introduction into the field with downloadable mathlab examples
30Jul 10, 2009 9:08 PMShane Haas. Finance has worked out much of the statistics to show that the number of observations you need to pick a best predictor increases with the number of predictors tested. A cautionary tale, but Finance may have a lot of methods to offer.
31Jul 22, 2009 2:05 PMSynergy of Cellular Dynamics and Network Structure in Spatio-Temporal Pattern Formation in Excitatory Networks. Andrew Bogaard Excellent presentation by a junior colleague, remarkable
32Jul 24, 2009 5:10 PM"EEG Generation: under normal and epileptic conditions" by Fernando Lopes da Silva
33Jul 24, 2009 6:04 PMComplex Networks and Synchronization by J. Kurths It gave a nice theoretical background for phenomena and measures frequently used in EEG analysis.
34Jul 24, 2009 7:19 PMN/A
35Jul 27, 2009 6:24 AMEEG waveforms of epileptic seizures seizure prediction
36Jul 28, 2009 11:10 PMI liked all talks that were not related to epilepsy; such as prediction of financial markets and earthquakes. I believe that the group that convened in Kansas City could benefit greatly from cross-pollination and learning from the endeavors of those who proceeded us in prediction of other phenomena.
37Jul 31, 2009 2:11 PMSteven Schiff's, because he is a performer as well as a speaker. Florian Mormann's, because his passion for his work in evident in every word.
38Aug 5, 2009 3:32 PMThe last one...