The Cognitive Neuroscience Unit is provided with several state-of-the-art devices necessary for the application of brain stimulation techniques (transcranial magnetic stimulation: TMS, rTMS, and transcranial electrical stimulation: tDCS, tACS and tRNS) and for the recording and the analysis of electrophysiological signals (EEG, EMG) as well as neuropsychological testing. The simultaneous co- registration of electroencephalography and TMS application is also available, field where we have been pioneers in the national research.
Forwarded from EEG workshop
mi2.pdf
86.4 MB
جزوه درس انفورماتیک 2 قسمتهای مرتبط با مفاهیم نمونه برداری از سیگنال، سیگنال دیجیتال، فیلتر کردن، تخمین طیف FFT، استخراج ویژگی، طبقه بندی با KNN, LDA
The purpose of this study is to extend a feature set with non-linear features to improve classification rate of guilty
and innocent subjects. Non-linear features can provide extra information about phase space. The Event-Related
Potential (ERP) signals were recorded from 49 subjects who participated in concealed face recognition test. For
feature extraction, at first, several morphological characteristics, frequency bands, and wavelet coefficients (we
call them basic-features) are extracted from each single-trial ERP. Recurrence Quantification Analysis (RQA)
measures are then computed as non-linear features from each single-trial. We apply Genetic Algorithm (GA)
to select the best feature set and this feature set is used for classification of data using Linear Discriminant Anal-
ysis (LDA) classifier. Next, we use a new approach to improve classification results based on introducing an adap-
tive-threshold. Results indicate that our method is able to correctly detect 91.83% of subjects (45 correct
detection of 49 subjects) using combination of basic and non-linear features, that is higher than 87.75% for
basic and 79.59% for non-linear features. This shows that combination of non-linear and basic- features could im-
prove classification rate
and innocent subjects. Non-linear features can provide extra information about phase space. The Event-Related
Potential (ERP) signals were recorded from 49 subjects who participated in concealed face recognition test. For
feature extraction, at first, several morphological characteristics, frequency bands, and wavelet coefficients (we
call them basic-features) are extracted from each single-trial ERP. Recurrence Quantification Analysis (RQA)
measures are then computed as non-linear features from each single-trial. We apply Genetic Algorithm (GA)
to select the best feature set and this feature set is used for classification of data using Linear Discriminant Anal-
ysis (LDA) classifier. Next, we use a new approach to improve classification results based on introducing an adap-
tive-threshold. Results indicate that our method is able to correctly detect 91.83% of subjects (45 correct
detection of 49 subjects) using combination of basic and non-linear features, that is higher than 87.75% for
basic and 79.59% for non-linear features. This shows that combination of non-linear and basic- features could im-
prove classification rate
این پیام جنبه اطلاع رسانی دارد و به درخواست مجری محترم این پیام در کانال قرار گرفته است و مجری عهده دار تمام موارد طرح میباشد:
#اطلاع_رسانی
با سلام
اینجانب وحیده کرباسی دانشجوی مقطع دکتری رشتهی علوم اعصاب شناختی در پژوهشکده علوم شناختی هستم. برای انجام پایاننامه به ثبت سیگنال EEG از تعدادی از افراد داوطلب نیاز دارم.
شرایط افراد:
آقایان 18 تا 35 سال، راست دست، فارسیزبان با تحصیلات حداقل دیپلم
عدم تجربهی مصرف داروهای روانپزشکی و داروهای روانگردان،
عدم سابقه بیماری های صرع، تشنج و سایر بیماریهای روانی در خود و بستگان نزدیک
نداشتن پیس میکرهای قلبی
توضیح پروژه: تعدادی تصویر چهره بر روی مانیتور نمایش داده خواهد شد و از فرد درخواست می شود که حالت چهره تصویر را مشخص کند. حالت های چهره عبارتند از خوشحالی- ناراحتی- عصبانیت و حالت خنثی .
در عین حال از افراد ثبت سیگنال انجام خواهد شد. کل مدت زمان آزمایش یک ساعت خواهد بود.
محل انجام پروژه: آزمایشگاه عصب شناسی انسانی، پژوهشکده علوم شناختی، فاز 4 شهرجدید پردیس
شایان ذکر است که این پروژه کاملاً برای افراد بیخطر بوده و به تأیید کمیتهی اخلاق در پژوهش دانشگاه علوم پزشکی ایران رسیده است.
جهت هماهنگی میتوانید به آدرس ایمیل kava62003@yahoo.com و یا شماره تلگرام 09212056208 پیام دهید.
در ضمن جهت قدردانی از افراد شرکت کننده کارت هدیه ای نیز تقدیم خواهد شد.
با سپاس فراوان
#اطلاع_رسانی
با سلام
اینجانب وحیده کرباسی دانشجوی مقطع دکتری رشتهی علوم اعصاب شناختی در پژوهشکده علوم شناختی هستم. برای انجام پایاننامه به ثبت سیگنال EEG از تعدادی از افراد داوطلب نیاز دارم.
شرایط افراد:
آقایان 18 تا 35 سال، راست دست، فارسیزبان با تحصیلات حداقل دیپلم
عدم تجربهی مصرف داروهای روانپزشکی و داروهای روانگردان،
عدم سابقه بیماری های صرع، تشنج و سایر بیماریهای روانی در خود و بستگان نزدیک
نداشتن پیس میکرهای قلبی
توضیح پروژه: تعدادی تصویر چهره بر روی مانیتور نمایش داده خواهد شد و از فرد درخواست می شود که حالت چهره تصویر را مشخص کند. حالت های چهره عبارتند از خوشحالی- ناراحتی- عصبانیت و حالت خنثی .
در عین حال از افراد ثبت سیگنال انجام خواهد شد. کل مدت زمان آزمایش یک ساعت خواهد بود.
محل انجام پروژه: آزمایشگاه عصب شناسی انسانی، پژوهشکده علوم شناختی، فاز 4 شهرجدید پردیس
شایان ذکر است که این پروژه کاملاً برای افراد بیخطر بوده و به تأیید کمیتهی اخلاق در پژوهش دانشگاه علوم پزشکی ایران رسیده است.
جهت هماهنگی میتوانید به آدرس ایمیل kava62003@yahoo.com و یا شماره تلگرام 09212056208 پیام دهید.
در ضمن جهت قدردانی از افراد شرکت کننده کارت هدیه ای نیز تقدیم خواهد شد.
با سپاس فراوان
Movement, cognition and perception arise from the collective activity of neurons within cortical circuits and across large-scale
systems of the brain. While the causes of single neuron spikes have been understood for decades, the processes that support
collective neural behavior in large-scale cortical systems are less clear and have been at times the subject of contention.
Modeling large-scale brain activity with nonlinear dynamical systems theory allows the integration of experimental data from
multiple modalities into a common framework that facilitates prediction, testing and possible refutation. This work reviews the
core assumptions that underlie this computational approach, the methodological framework that fosters the translation of theory
into the laboratory, and the emerging body of supporting evidence. While substantial challenges remain, evidence supports the
view that collective, nonlinear dynamics are central to adaptive cortical activity. Likewise, aberrant dynamic processes appear to
underlie a number of brain disorders.
systems of the brain. While the causes of single neuron spikes have been understood for decades, the processes that support
collective neural behavior in large-scale cortical systems are less clear and have been at times the subject of contention.
Modeling large-scale brain activity with nonlinear dynamical systems theory allows the integration of experimental data from
multiple modalities into a common framework that facilitates prediction, testing and possible refutation. This work reviews the
core assumptions that underlie this computational approach, the methodological framework that fosters the translation of theory
into the laboratory, and the emerging body of supporting evidence. While substantial challenges remain, evidence supports the
view that collective, nonlinear dynamics are central to adaptive cortical activity. Likewise, aberrant dynamic processes appear to
underlie a number of brain disorders.
Despite its great promise, neuroimaging has yet to substantially impact clinical practice and public health. However,
a developing synergy between emerging analysis techniques and data-sharing initiatives has the potential to transform the role
of neuroimaging in clinical applications. We review the state of translational neuroimaging and outline an approach to developing
brain signatures that can be shared, tested in multiple contexts and applied in clinical settings. The approach rests on three
pillars: (i) the use of multivariate pattern-recognition techniques to develop brain signatures for clinical outcomes and
relevant mental processes; (ii) assessment and optimization of their diagnostic value; and (iii) a program of broad exploration
followed by increasingly rigorous assessment of generalizability across samples, research contexts and populations. Increasingly
sophisticated models based on these principles will help to overcome some of the obstacles on the road from basic neuroscience
to better health and will ultimately serve both basic and applied goals.
a developing synergy between emerging analysis techniques and data-sharing initiatives has the potential to transform the role
of neuroimaging in clinical applications. We review the state of translational neuroimaging and outline an approach to developing
brain signatures that can be shared, tested in multiple contexts and applied in clinical settings. The approach rests on three
pillars: (i) the use of multivariate pattern-recognition techniques to develop brain signatures for clinical outcomes and
relevant mental processes; (ii) assessment and optimization of their diagnostic value; and (iii) a program of broad exploration
followed by increasingly rigorous assessment of generalizability across samples, research contexts and populations. Increasingly
sophisticated models based on these principles will help to overcome some of the obstacles on the road from basic neuroscience
to better health and will ultimately serve both basic and applied goals.
POSTDOCTORAL POSITION AVAILABLE IN PRODROME/EARLY PSYCHOSIS: NORTHWESTERN UNIVERSITY’S ADAPT PROGRAM
The Northwestern University Adolescent Development and Preventive Treatment (ADAPT) program is seeking applications for a full-time postdoctoral fellow. We are looking for someone with background in cognitive/affective neuroscience or clinical psychology, with interests and experience in electrophysiological assessment and/or neuroimaging. Currently we are running a number of NIMH/Foundation/University funded multimodal protocols (structural/diffusion-tensor/ functional imaging, ERP, brain stimulation, eye tracking, instrumental motor assessment) with prodromal syndrome and early psychosis populations focusing on: brain, immune, and endocrine changes in response to aerobic exercise; neurobiology of motor dysfunction; timing of affective processing dysfunction (in new collaboration with Tim Curran). Please see our website for more details:http://www.adaptprogram.com. The ideal candidate will be a person who is interested in applying a cognitive/affective neuroscience background (e.g., Cognition /Cog-Neuro or related Ph.D.) to investigate early psychosis and the psychosis prodrome. Clinical Psychology Ph.D.’s with related interests and training experiences are also highly encouraged to apply. Preference will be given to candidates with a proven track record of good productivity, as well as strong computer programming skills (e.g., MATLAB/Python). We also strongly encourage diversity, and will give preference to applicants from populations underrepresented in STEM.
The successful applicant will join Vijay Mittal and an active research team and will be responsible for designing/running experiments, analyzing and processing data, and disseminating findings. In addition, the applicant will work on collaborative studies with Vijay Mittal and Robin Nusslock, examining shared and distinct pathophysiology, underlying reward-processing abnormalities in psychosis and affective disorders. There will also be ample opportunities to take courses (Northwestern has a number of in-depth advanced training opportunities, covering a range of methodological and quantitative methods), collaborate (benefit from a number of active ADAPT collaborations as well as the vibrant Northwestern research community), help to mentor/train graduate students, and develop and follow Independent research questions. Significant attention will be placed on career development (e.g., regular conference attendance/participation, training in grant writing, mentorship, teaching, presentations/job-talks etc.) – this is ideal position for someone interested in preparing for a tenure track position.
For questions or to submit and application, please contact Vijay Mittal (vijay.mittal@northwestern.edu ). Applicants should send a C.V., brief letter describing interests and prior experience, and two publications (that best reflect contributions of the candidate). Salary is based on the NIMH Post-doctoral scale, and funding is available for up to two-years (appointments are for one year, but renewable for two years, based on progress/merit). There is a flexible start date (Spring, Summer or Fall 2017), and review of applications will begin March 1st
The Northwestern University Adolescent Development and Preventive Treatment (ADAPT) program is seeking applications for a full-time postdoctoral fellow. We are looking for someone with background in cognitive/affective neuroscience or clinical psychology, with interests and experience in electrophysiological assessment and/or neuroimaging. Currently we are running a number of NIMH/Foundation/University funded multimodal protocols (structural/diffusion-tensor/ functional imaging, ERP, brain stimulation, eye tracking, instrumental motor assessment) with prodromal syndrome and early psychosis populations focusing on: brain, immune, and endocrine changes in response to aerobic exercise; neurobiology of motor dysfunction; timing of affective processing dysfunction (in new collaboration with Tim Curran). Please see our website for more details:http://www.adaptprogram.com. The ideal candidate will be a person who is interested in applying a cognitive/affective neuroscience background (e.g., Cognition /Cog-Neuro or related Ph.D.) to investigate early psychosis and the psychosis prodrome. Clinical Psychology Ph.D.’s with related interests and training experiences are also highly encouraged to apply. Preference will be given to candidates with a proven track record of good productivity, as well as strong computer programming skills (e.g., MATLAB/Python). We also strongly encourage diversity, and will give preference to applicants from populations underrepresented in STEM.
The successful applicant will join Vijay Mittal and an active research team and will be responsible for designing/running experiments, analyzing and processing data, and disseminating findings. In addition, the applicant will work on collaborative studies with Vijay Mittal and Robin Nusslock, examining shared and distinct pathophysiology, underlying reward-processing abnormalities in psychosis and affective disorders. There will also be ample opportunities to take courses (Northwestern has a number of in-depth advanced training opportunities, covering a range of methodological and quantitative methods), collaborate (benefit from a number of active ADAPT collaborations as well as the vibrant Northwestern research community), help to mentor/train graduate students, and develop and follow Independent research questions. Significant attention will be placed on career development (e.g., regular conference attendance/participation, training in grant writing, mentorship, teaching, presentations/job-talks etc.) – this is ideal position for someone interested in preparing for a tenure track position.
For questions or to submit and application, please contact Vijay Mittal (vijay.mittal@northwestern.edu ). Applicants should send a C.V., brief letter describing interests and prior experience, and two publications (that best reflect contributions of the candidate). Salary is based on the NIMH Post-doctoral scale, and funding is available for up to two-years (appointments are for one year, but renewable for two years, based on progress/merit). There is a flexible start date (Spring, Summer or Fall 2017), and review of applications will begin March 1st
Forwarded from HFT_CO
http://hooshmandfanavar.com/?p=4700
به منظور تشویق محققین سراسر جهان در زمینه های تحقیقاتی مربوط به BCI و کمک به رشد و توسعه هرچه بیشتر این شاخه تحقیقاتی هرساله مسابقه ای تحت عنوان Annual BCI Award ب
به منظور تشویق محققین سراسر جهان در زمینه های تحقیقاتی مربوط به BCI و کمک به رشد و توسعه هرچه بیشتر این شاخه تحقیقاتی هرساله مسابقه ای تحت عنوان Annual BCI Award ب
Forwarded from HFT_CO
http://hooshmandfanavar.com/?p=4700
به منظور تشویق محققین سراسر جهان در زمینه های تحقیقاتی مربوط به BCI و کمک به رشد و توسعه هرچه بیشتر این شاخه تحقیقاتی هرساله مسابقه ای تحت عنوان Annual BCI Award با حمایت مالی کمپانی gtec برگزار میشود. کلیه افراد و تیمهای تحقیقاتی از سراسر دنیا که دارای ایده های نو در زمینه های مربوط به BCI میباشند میتوانند در این چالش شرکت نمایند.
به منظور تشویق محققین سراسر جهان در زمینه های تحقیقاتی مربوط به BCI و کمک به رشد و توسعه هرچه بیشتر این شاخه تحقیقاتی هرساله مسابقه ای تحت عنوان Annual BCI Award با حمایت مالی کمپانی gtec برگزار میشود. کلیه افراد و تیمهای تحقیقاتی از سراسر دنیا که دارای ایده های نو در زمینه های مربوط به BCI میباشند میتوانند در این چالش شرکت نمایند.
هوشمند فنآور
معرفی مسابقه سالانه BCI-Award
جهت تشویق محققین در زمینه های مربوط به BCI و کمک توسعه این شاخه تحقیقاتی مسابقه ای سالانه تحت عنوانAnnual BCI Award با حمایت مالی کمپانی gtec برگزار میشود.
http://ccneuro.org/
Cognitive Computational Neuroscience (CCN) Annual Meeting
September 6-8, 2017
Submission is now open!
Will be held at Columbia University in NYC
Student travel awards are available! All students who submit their work to CCN will be considered for an NSF-Funded travel award.
Cognitive Computational Neuroscience (CCN) Annual Meeting
September 6-8, 2017
Submission is now open!
Will be held at Columbia University in NYC
Student travel awards are available! All students who submit their work to CCN will be considered for an NSF-Funded travel award.
Forwarded from Mojtaba Zarei
Institute of Medical Science and Technology (IMSAT) of Shahid Beheshti University requires a researcher with PhD degree in Neuroscience or related disciplines with experience in immunohistochemistry. This postdoc position will be dedicated to use of immunohistochemistry in neurodegenerative disorders. The candidate is expected to have good knowledge and experience of the technique, fluent in writting scientific English, and motivation and interest to research in this area. Renumeration will be according to the University postdoc salary. The position is for 1 year, extendable to 2 upon mutual agreement.
فرا رسیدن سال نو همیشه نوید بخش افکار نو، کردار نو و تصمیم های نو برای آینده است. آینده ای که همه امید داریم بهتر از گذشته باشد. در سال نو، یکسال سلامتی، شادی، موفقیت، مهر و دوستی را برای شما آرزومندیم.
🌐تیم برگزاری کارگاه پردازش سیگنال های مغزی
🌐تیم برگزاری کارگاه پردازش سیگنال های مغزی