0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
The most descriptive surprise definition for brain’s EEG response to visual and auditory oddball tasks
نویسندگان :
Mohammad Mahdi Kiani
1
Zahra Mousavi
2
Hamid Aghajan
3
1- دانشگاه صنعتی شریف
2- دانشگاه صنعتی شریف
3- دانشگاه صنعتی شریف
کلمات کلیدی :
oddball paradigm،Bayesian brain،surprise،decoder
چکیده :
The human brain continuously tries to predict sensory input in order to prepare for responding to new events. The brain develops a model for the incoming sensory information and updates it as new inputs arrive. It is hypothesized that the brain deduces a distribution for the input which is made more accurate with new observations. A notable question is how the brain perceives and reacts to new information. The oddball paradigm task is a simple experiment that can reveal the brain’s ability in predicting the incoming input. We analyzed the EEG response of the brain recorded during oddball visual and auditory tasks in order to characterize its response to surprising instances embedded in a string of input stimuli. Different definitions of surprise were evaluated for their ability to describe the brain’s response. The information-theoretic Shannon surprise was found to serve as the best model to fit the experimental EEG data.
لیست مقالات
لیست مقالات بایگانی شده
جداسازی عروق در تصاویر شبکیه چشم با استفاده از یک روش آستانه گذاری وفقی مبتنی بر اطلاعات محلی و سرتاسری
زهرا نورانی آتشگاه - محمد آراسته - آیدا فولادی وندا
Model Reference Adaptive Control for Nonlinear Systems in the Presence of Unknown External Disturbances
Ehsan Nazemorroaya - Mohsen Shafieirad - Majid Hajatipour
Sampled-data-based Descriptor Observer Design with Aperiodic Measurements for Lithium-ion Batteries in Hybrid Electric Vehicles
Hamid Reza Ahmadzadeh - Masoud Shafiee
تشخیص و تفکیک برخط خطای مدار باز کلید در اینورترهای تک فاز PWM
مهدی اره پناهی - علی اکبر سلیمی
Hybrid-Excited, Variable-Flux, and Inter-Modular Biased-Flux Motors: A Comparative Analysis
Mohammad Amirkhani - Ehsan Farmahini Farahani - Alireza Eikani - Mojtaba Mirsalim - Javad Shokrollahi Moghani
Deep Convolutional Neural Network for ADHD Classification using resting-state fMRI
MohammadHadi Firouzi - Maliheh Ahmadi - Kamran Kazemi - Mohammad Sadegh Helfroush - Ardalan Aarabi
Finite-time consensus of multi-agent systems via event-triggered control
Mehdi Zamanian - Farzaneh Abdollahi - Seyyed Kamaleddin Yadavar Nikravesh
شناسایی گرههای مهم سیستم قدرت با استفاده از ابزار شبکههای پیچیده و مرکزیتهای مبتنی بر تشخیص جامعه
سپهر مردانی - علی کریمی - مهران معماری
Evaluating the effect of electric vehicle charging station locations on line flows:An analytical approach
Mohammad Hasan Nikkhah - Mahdi Samadi
A New High Voltage Gain Z-Source Based DC-DC Converter for High-Power DG Applications
Sakina Bakhshi - Reza Beiranvand
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0