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What topic/s covered in the meeting do you think were under-emphasized?
#Response DateResponse Text
1Jun 29, 2009 7:31 PMinterestingly, seizure prediction part was quite under-emphasized. there were much more work about seizure control than prediction.
2Jun 29, 2009 7:45 PMDynamics in time domain
3Jun 29, 2009 7:50 PMmechanisms of epilepsy
4Jun 29, 2009 7:51 PMMechanisms of seizure generation.
5Jun 29, 2009 8:46 PMThere's a disjoint between the signal processing and the cellular stuff. A wide one.
6Jun 29, 2009 8:46 PMComputational intelligence methods
7Jun 29, 2009 9:32 PMWhy some aspects of statistical processing required non-Gaussian approaches
8Jun 30, 2009 12:53 AMDefinitions of seizures minimum duration, onset time, etc.
9Jun 30, 2009 6:19 AMseizure detection
10Jun 30, 2009 7:47 AMclinical experimentation
11Jun 30, 2009 8:44 AMPersonally I would like more pathophysiology, but I recognise that this is a meeting on seizure prediction, and suspect that this aspect might not be as prominent and it should be.
12Jun 30, 2009 9:21 AM- electrophysiology (brain signals generation and propagation, composition of EEG, LFP, etc.) - theory of dynamical systems (there were quite some talks with emphasis to TDS, but I would add even more. Also theory of non-linear dynamics. - epilepsy from the clinical perspective - more presentations like Steven Weinstein's - discussion about algorithms, implementations...
13Jun 30, 2009 9:29 AMSeizure detection/prediction features.
14Jun 30, 2009 11:36 AMcomputational models of epilepsy generation and propagation.
15Jun 30, 2009 5:28 PMBasic science and clinical of epilepsy
16Jun 30, 2009 5:37 PMBasic science and clinical of epilepsy
18Jul 1, 2009 3:13 PMThe work of the commercial companies. I know that it is limited what they can tell us, but it would had been nice to know what they can offer us - or have plans of being able to offer us in the future.
19Jul 1, 2009 5:44 PMsome basic modeling theory - for instance, no one had a discussion on what might make a more suitable neuron model (mathematical) for epileptic brain
20Jul 2, 2009 1:43 AMI think the seizure control/treatment aspect of the conference is very much under-emphasized.
21Jul 2, 2009 6:35 PMbasic mechanisms of seizures from single cell electrophysiology recordings
22Jul 4, 2009 10:36 PMSeizure Detection
23Jul 6, 2009 9:47 AMstate of seizure prediction (too less time devoted for this)
24Jul 6, 2009 8:34 PMWould have liked to have seen more on the nature and details of the measurements.
25Jul 7, 2009 1:04 AMAnimal models
26Jul 8, 2009 12:28 PMNone really.
27Jul 8, 2009 7:50 PMPrediction algorithm, or ways or technique
28Jul 9, 2009 6:59 PMseizure prediction
29Jul 10, 2009 5:36 AMNone.
30Jul 10, 2009 9:08 PMbasic math of network/graph theory as applied to the brain (with apologies to Von Neumann)
31Jul 22, 2009 2:05 PMNone, it was well-balanced.
32Jul 24, 2009 4:55 PM I believe the industry aspect of things was introduced, but probably not emphasized enough. A lot of prediction/detection algorithms were presented. But it would have been great to see some end product in sight with any proposed mathematical model.
33Jul 24, 2009 6:04 PMearly detection of seizures
34Jul 24, 2009 7:19 PMN/A
35Jul 25, 2009 8:35 AMI would have appreciated more talks on the processing and analysis of scalp EEG, pros and cons.
36Jul 26, 2009 7:30 PMThe State of Seizure Prediction Sessions
37Jul 27, 2009 10:50 AMthe poster session was very well attended -- maybe there should be two or one with more time
38Jul 28, 2009 11:10 PMEpilepsy method of action models. I propose that to solve the problem (seizure prediction), we could start with a model or models of why seizures happen. These would represent a chain of events that could look like a block diagram or flow chart. This could be an overriding structure or map from which all presentations could be oriented from. For example, experts in physiological studies of neuron firing dynamics would fit in the physiological piece of the model and report that their new study either strengthens or refutes the epilepsy seizure model. Similarly, each expert in each discipline attacks a block in the chain of events model and reports that they either confirmed or refuted the model's hypothesized method of action in their research.
39Jul 29, 2009 3:00 AMmore machine learning, dynamical systems, chaos theory and other fields of mathematics can be emphasized.
40Jul 31, 2009 2:11 PMI would have liked to have a possibility for discussion about technical aspects of animal use, ie surgical techniques, electrode fab options, etc.