👉 @Biomedical_eBook 👈

👉 @Biomedical_eBook 👈

👉 @Biomedical_eBook 👈

با سلام
کارگاه آموزش MATLAB با رویکردی کاربردی در نوروساینس، با توجه به دلایلی بعد از عید نوروز برگزار خواهد شد.

با سلام خدمت اعضای محترم کانال پردازش سیگنال های مغزی، متقاضیان شرکت در کارگاه، لطفا نظرتون را در مورد کارگاه آتی بفرماید. با تشکر ، 🗳کارگاه ثبت و پردازش سیگنال های مغزی که قرار است در آخر هفته اول اردیبهشت ماه سال 96 برگزار گردد به چه صورت باشد؟
anonymous poll

سه روزه، روز اول ثبت و پردازش، روز دوم پردازش با EEGLAB، روز سوم پردازش سیگنال با EEGLAB و کار با SIFT – 57
👍👍👍👍👍👍👍 66%

دو روزه، روز اول ثبت و پردازش، روز دوم پردازش و آموزش EEGLAB – 15
👍👍 17%

دو روزه، هر دو روز پردازش سیگنال, کار باEEGLAB و SIFT – 15
👍👍 17%

👥 87 people voted so far.

👇🏻👇🏻👇🏻
________________________
💻سایت کارگاه پردازش سیگنال های مغزی:
✅👉👉biomedeng.ir/eegworkshop

📱کانال تلگرام کارگاه پردازش سیگنال های مغزی:
🆔👉👉 @EEGworkshop

مقدمه ای بر پتانسیل های وابسته به رویداد و منشا نرونی آن ها(گردآوری شده)

💻سایت کارگاه پردازش سیگنال های مغزی:
✅biomedeng.ir/eegworkshop

📱کانال تلگرام کارگاه پردازش سیگنال های مغزی
🆔 @EEGworkshop

Dear all,
Please find below an announcement for a post-doc position to work on a project of TMS-EEG coregistration, located at the Cognitive Neuroscience Unit, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia (Italy), led by prof. Carlo Miniussi.
We would be mostly grateful if you could circulate this notice to possibly interested candidates.
Cheers,

Marta Bortoletto and Anna Fertonani


Marta Bortoletto, PhD
Cognitive Neuroscience Section,
IRCCS Centro San Giovanni di Dio Fatebenefratelli
Via Pilastroni 4, 25125 Brescia, Italy
Phone number: (+39) 0303501594
E-mail: marta.bortoletto@cognitiveneuroscience.it
web: http://www.cognitiveneuroscience.it/
Job denoscription
The Cognitive Neuroscience Unit, IRCCS Centro San Giovanni di Dio Fatebenefratelli, led by Prof. Carlo Miniussi is seeking to recruit a post-doctoral research fellow to work on a project of TMS-EEG coregistration. This is part of projects funded by BIAL foundation and FISM foundation, in collaboration with the University of Genova, ASST Spedali Civili di Brescia and the Center for Mind/Brain Sciences CIMeC of the University of Trento. The research focus of these projects is the effects of non-invasive brain stimulation (TMS and tES) on cortical networks of the human brain during motor and perceptual tasks and their contributions to learning.
The post is available from May 2017 and is funded for one year in the first instance, with the possibility of extension for further 2 years.
Key Requirements
• We are seeking for aspiring individuals with substantial experience in TMS-EEG or EEG research and strong computational abilities.
• The applicants should also be interested in studying cortical networks and their disorders.
• Successful candidates should have a background and PhD degree in a neuroscience-related field,
broadly specified, and skills for working with complex empirical data and human subjects.
• Applicants should have experience with conducting experimental research, hands-on knowledge in
EEG method, and documented skills in at least one programming language (preferably Matlab).
• Good command of the English language (written and oral), as well as skills for teamwork in a
multidisciplinary research group, are required.
• Experience with advanced EEG signal processing, EEG source localization, connectivity analyses
and a strong publication record are an advantage.
What we offer
• Gross salary: 25.000-28.000 euro per annum
• Excellent working environment
• Opportunity to work in a motivated, skilled, inspired and supportive group
• A chance to work in Italy – one of the most beautiful countries in the world
To apply, please send the following items, as ONE PDF FILE and via email to Dr. Anna Fertonani (anna.fertonani@cognitiveneuroscience.it) preferably by March 31st 2017. Later applications will be considered until the position is filled.
• A letter of intent including a brief denoscription of your past and current research interests
• Curriculum vitae including the list of your publication and degrees
• Names and contact information of 2 referees.
For further information please contact
Anna Fertonani
IRCCS Centro San Giovanni di Dio Fatebenefratellianna.fertonani@cognitiveneuroscience.it
About the employer
The IRCCS San Giovanni di Dio Fatebenefratelli is operating since 120 years and has been appointed and funded as national centre of excellence in research and care by the Italian Ministry of Health since 1996. More than 4500 patients with Alzheimer’s Dementia or associated disorders and about 1700 patients with psychiatric diseases are treated each year. The research division, besides the Cognitive Neuroscience Section, includes the laboratories of Genetics, Neuropsychopharmacology, Neurobiology, Proteomic, Neuroimaging, Ethic and Epidemiology and employs about fifty professional researchers.

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.

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

مقاله بررسی اطلاعات نهان شده توسط افراد (دروغ سنجی)با سیگنال EEG

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

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.

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.

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