Articles

type: Journal
Title DOI Date
Investigation of Electrical Signals in the Brain of People with Autism Using Effective Connectivity Network #
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals 10.3389/fnsys.2022.904770
Detection of factors affecting kidney function using machine learning methods 10.1038/s41598-022-26160-8
Investigation of fetal ECG signal using textile-based electrodes #
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals #
Design and Implementation of a Spiking Neural Network with Integrate-and-Fire Neuron Model for Pattern Recognition 10.1142/S0129065720500732
Physiological constraints of visual pathway lead to more efficient coding of information in retina #
Hippocampal effective synchronization values are not pre-seizure indicator without considering the state of the onset channels #
Proposing a two-level stochastic model for epileptic seizure genesis #
A Model-Based Method for Computation of Correlation Dimension Lyapunov Exponents and Synchronization from Depth-EEG Signals #
Analysis of the Behavior of a Seizure Neural Mass Model Using Describing Functions #
A brief survey of computational models of normal and epileptic EEG signals: a guideline to model-based seizure prediction #
تركيب فيلتر ذره ترتيبي و شكل دهنده پرتو براي مكانيابي منابع اخلالگر مغزي #
پيشگويي برخط و تك كاناله وقوع حمله صرعي با ارائه الگوي توليد صرع بر روي سيگنالهاي الكتروانسفالوگرام عمقي با استفاده از فيلتر كالمن توسعه يافته #
type: Conference
Title Date
Investigating Effective Connectivity within the Default Mode Network in Autism Spectrum Disorder: Insights from Dynamic Causal Modeling of Resting-State fMRI
Automatic classification of migraine and tensiontype headaches using machine learning methods
A Cloud-based IoT-enabled framework for BCI applications
كنترل تشنج در مدل صرع ساز با استفاده از كنترل كننده سطح ديناميكي
بررسي ميزان تغييرات ارتباطات عملكردي شبكه مغزي در طول زمان به منظور تشخيص بيماري اوتيسم از روي تصاوير اف ام آرآي