| 1 | Jun 29, 2009 7:31 PM | interestingly, seizure prediction part was quite under-emphasized. there were much more work about seizure control than prediction. |
| 2 | Jun 29, 2009 7:45 PM | Dynamics in time domain |
| 3 | Jun 29, 2009 7:50 PM | mechanisms of epilepsy |
| 4 | Jun 29, 2009 7:51 PM | Mechanisms of seizure generation. |
| 5 | Jun 29, 2009 8:46 PM | There's a disjoint between the signal processing and the cellular stuff. A wide one. |
| 6 | Jun 29, 2009 8:46 PM | Computational intelligence methods |
| 7 | Jun 29, 2009 9:32 PM | Why some aspects of statistical processing required non-Gaussian approaches |
| 8 | Jun 30, 2009 12:53 AM | Definitions of seizures minimum duration, onset time, etc. |
| 9 | Jun 30, 2009 6:19 AM | seizure detection |
| 10 | Jun 30, 2009 7:47 AM | clinical experimentation |
| 11 | Jun 30, 2009 8:44 AM | Personally 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. |
| 12 | Jun 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... |
| 13 | Jun 30, 2009 9:29 AM | Seizure detection/prediction features. |
| 14 | Jun 30, 2009 11:36 AM | computational models of epilepsy generation and propagation. |
| 15 | Jun 30, 2009 5:28 PM | Basic science and clinical of epilepsy |
| 16 | Jun 30, 2009 5:37 PM | Basic science and clinical of epilepsy |
| 18 | Jul 1, 2009 3:13 PM | The 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. |
| 19 | Jul 1, 2009 5:44 PM | some basic modeling theory - for instance, no one had a discussion on what might make a more suitable neuron model (mathematical) for epileptic brain |
| 20 | Jul 2, 2009 1:43 AM | I think the seizure control/treatment aspect of the conference is very much under-emphasized. |
| 21 | Jul 2, 2009 6:35 PM | basic mechanisms of seizures from single cell electrophysiology recordings |
| 22 | Jul 4, 2009 10:36 PM | Seizure Detection |
| 23 | Jul 6, 2009 9:47 AM | state of seizure prediction (too less time devoted for this) |
| 24 | Jul 6, 2009 8:34 PM | Would have liked to have seen more on the nature and details of the measurements. |
| 25 | Jul 7, 2009 1:04 AM | Animal models |
| 26 | Jul 8, 2009 12:28 PM | None really. |
| 27 | Jul 8, 2009 7:50 PM | Prediction algorithm, or ways or technique |
| 28 | Jul 9, 2009 6:59 PM | seizure prediction |
| 29 | Jul 10, 2009 5:36 AM | None. |
| 30 | Jul 10, 2009 9:08 PM | basic math of network/graph theory as applied to the brain (with apologies to Von Neumann) |
| 31 | Jul 22, 2009 2:05 PM | None, it was well-balanced. |
| 32 | Jul 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. |
| 33 | Jul 24, 2009 6:04 PM | early detection of seizures |
| 34 | Jul 24, 2009 7:19 PM | N/A |
| 35 | Jul 25, 2009 8:35 AM | I would have appreciated more talks on the processing and analysis of scalp EEG, pros and cons. |
| 36 | Jul 26, 2009 7:30 PM | The State of Seizure Prediction Sessions |
| 37 | Jul 27, 2009 10:50 AM | the poster session was very well attended -- maybe there should be two or one with more time |
| 38 | Jul 28, 2009 11:10 PM | Epilepsy 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. |
| 39 | Jul 29, 2009 3:00 AM | more machine learning, dynamical systems, chaos theory and other fields of mathematics can be emphasized. |
| 40 | Jul 31, 2009 2:11 PM | I would have liked to have a possibility for discussion about technical aspects of animal use, ie surgical techniques, electrode fab options, etc. |