Thanks for the interest in this project.

@Dough King
Thanks for the links to databases and introducing me to Kaggle. The EPILEPSIAE
project does indeed have the largest database but it is now downloadable
only after a fee is paid ( which i cannot afford as of now ..
https://epilepsy.uni-freiburg.de/freiburg-seizure-prediction-project/eeg-database
 ).
The other data set ( http://eeg.pl/epi ) is downloadable and i will be
experimenting with it for now.

@Chetan Surpur
It would be great if this idea could be a part of GSoC.

*Regards,*
*Anubhav Chaturvedi*

*Birla Institute of Technology & Science, Pilani*
KK Birla Goa Campus
+91-9637399150

*" You can do anything if you stop doing everything "*


On Wed, Feb 12, 2014 at 12:54 AM, Chetan Surpur <[email protected]> wrote:

> A Kaggle competition is a great idea. In addition, what about including
> this project as part of the list of Google Summer of Code projects?
>
>
> On Tue, Feb 11, 2014 at 10:53 AM, Doug King <[email protected]> wrote:
>
>> You guys are right, the CLA is a good fit for this, especially if we have
>> a temporal pooler running. Coming up with a solution using the CLA would be
>> a high profile win for the community and would showcase NuPic to the rest
>> of the world in a very media friendly way.
>>
>> There are some data sets available:
>>
>> The EPILEPSIAE project data is available and contains "well-documented
>> meta data, highly annotated raw data as well as several calculated
>> features. In total the database will contain continuous long term
>> recordings of 275 patients, i.e. 225 scalp recordings and 50 intracranial
>> recordings. The data acquisition and database are approved by the local
>> ethics committees."
>> http://www.epilepsiae.eu/project_outputs/european_database_on_epilepsy
>>
>> Here is another data set: http://eeg.pl/epi
>>
>> There are others on the NuPic list here interested feeding NuPic EEG
>> data, not specifically for seizure prediction though.
>>
>> I wonder if Grok would be interested in hosting a Kaggle competition with
>> the data for all-comers to take a shot at predicting with a prize? I would
>> expect the NuPic OSS community would form one or more teams if that were
>> the case and we could then see if the CLA outperforms other algos on messy
>> temporal data.
>>
>> -Doug
>>
>>
>> On Sat, Feb 8, 2014 at 12:53 AM, Chetan Surpur <[email protected]>wrote:
>>
>>> Hi Anubhav,
>>>
>>> That's a great idea! The CLA would be a good fit for this kind of
>>> anomaly detection problem.
>>>
>>> I would start by collecting labeled data to begin experimenting with the
>>> CLA and determine its performance in this task. Does anyone on this list
>>> have access to such data?
>>>
>>> - Chetan
>>> On Feb 8, 2014 12:44 AM, "Anubhav Chaturvedi" <[email protected]>
>>> wrote:
>>>
>>>> Hi
>>>>
>>>> I am new to NuPIC platform have found it particularly interesting
>>>> because of its inspiration from human brain model. I would the communities
>>>> advice on an idea.
>>>>
>>>> I have read that the eeg signals start showing signs of an epileptic
>>>> seizure way before its physiological impact. Also such eeg patterns vary a
>>>> lot from person to person. Since NuPIC is an online learning platform,
>>>> can't we develop a code that to learn its user's eeg patterns and predict a
>>>> seizure so that they can be warned. If such an approach has been considered
>>>> ( on NuPIC and not machine learning in general ), what were the challenges
>>>> faced?
>>>>
>>>> I have had trouble finding people well versed in the fields of
>>>> neuroscience to discuss about it. I hope you all find this area interesting
>>>> and guide me.
>>>>
>>>> *Regards,*
>>>> *Anubhav Chaturvedi*
>>>>
>>>> *Birla Institute of Technology & Science, Pilani*
>>>> KK Birla Goa Campus
>>>> +91-9637399150
>>>>
>>>> *" You can do anything if you stop doing everything "*
>>>>
>>>> _______________________________________________
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>>>> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
>>>>
>>>>
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