Event Related Potential , Signal processing & Analysis discussion Forum

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Event Related Potential , Signal processing & Analysis discussion Forum

A group of scientists ranging from mathematicians,physicists,computer scientists,neurologist,neurosurgeons,psychologists,electrical and electronic engineers,signal processors and analyses specialists who are interested researchers in this field

Website: http://www.medic.usm.my/~neurosciences/laboratory.php
Location: MEG and ERP Neuroscience Lab,Hospital Universiti Sains Malasyia
Members: 33
Latest Activity: Mar 14

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Nature latest publication and how it may effect our thinking of Visual ERP

http://www.nature.com/nature/journal/v473/n7345/full/nature09880.html is one paper which now has tickled my brain…Continue

Tags: Nature, ERP

Started by Professor Jafri Malin Abdullah May 27, 2011.

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Comment by Professor Jafri Malin Abdullah on November 18, 2010 at 7:42am
Do we instead use non-linear deterministic when signals are non random as sen by diseased states like epilepsy?
Comment by Professor Jafri Malin Abdullah on November 18, 2010 at 7:06am
There are NON Stochastic conditions of the brain at rest or in activity that may differ from brain areas to other areas.Don;t we see this when we fused MRI to EEG?
Comment by Professor Jafri Malin Abdullah on November 18, 2010 at 6:51am
will this be different when we analyze structures like the cerebellar surface,as the brain is assumed to be round.
Comment by Nidal Kamel on November 18, 2010 at 3:33am
Dear Prof.

The EEG signal is random because of the underlying stochastic process of the brain. Accordingly, the way we do the measurement (number of channels, or positions of electrodes) will not have any impact on the stochastic nature of the detected signal.
Comment by Professor Jafri Malin Abdullah on November 18, 2010 at 2:56am
To Prof Jiang and Nidal,stochastic signals or deterministic EEG signals????We al know that EEG signal (in rest, with eyes closed) is generated by linear stochastic process especially non frontal channels .Maybe with more channels ?256 vs 512 or more may change this signal analysis?
Comment by Nidal Kamel on November 17, 2010 at 9:54pm
Dear Professors

A signal is deterministic if it is exactly predictable for the time span of interest. Deterministic signals can be described by mathematical models.

Unlike deterministic signals, stochastic signals, or random signals cannot be characterized by a simple, well-defined mathematical equation and their future values cannot be predicted. Rather, we must use probability and statistics to analyze their behavior.

EEG is random in nature, so it falls under nondeterministic ( random) class of signals and processing it should be done using statistical tools.
Comment by JIANG Zhongqing on November 17, 2010 at 8:57pm
"which is better for analysis :stochastic signals or deterministic EEG signals????
Are all these signals "kosher".....Gaussian enough? "
I think it is an interesting topic. But could you please describe a little more details of this issue, Professor Jafri?
Comment by Professor Jafri Malin Abdullah on November 17, 2010 at 6:33pm
Comment by Aamir Saeed Malik on November 12, 2010 at 5:17am
Dear Prof Jafri
We can participate in August. We are now waiting for RA from your side. Once we get it then we can follow with our people.. Aamir
Comment by Professor Jafri Malin Abdullah on November 12, 2010 at 5:16am
ERP response improves with docosahexaenoic acid ?
 

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