|
Investigation of Electrical Signals in the Brain of People with Autism Using Effective Connectivity Network
|
# |
1403 - 05 |
|
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
|
10.3389/fnsys.2022.904770 |
1401 - 11 |
|
Detection of factors affecting kidney function using machine learning methods
|
10.1038/s41598-022-26160-8 |
1401 - 09 |
|
Investigation of fetal ECG signal using textile-based electrodes
|
# |
1401 - 08 |
|
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals
|
# |
1401 - 04 |
|
Design and Implementation of a Spiking Neural Network with Integrate-and-Fire Neuron Model for Pattern Recognition
|
10.1142/S0129065720500732 |
1399 - 12 |
|
Physiological constraints of visual pathway lead to more efficient coding of information in retina
|
# |
1399 - 09 |
|
Hippocampal effective synchronization values are not pre-seizure indicator without considering the state of the onset channels
|
# |
1393 - 09 |
|
Proposing a two-level stochastic model for epileptic seizure genesis
|
# |
1392 - 11 |
|
A Model-Based Method for Computation of Correlation Dimension Lyapunov Exponents and Synchronization from Depth-EEG Signals
|
# |
1392 - 10 |
|
Analysis of the Behavior of a Seizure Neural Mass Model Using Describing Functions
|
# |
1391 - 12 |
|
A brief survey of computational models of normal and epileptic EEG signals: a guideline to model-based seizure prediction
|
# |
1389 - 11 |
|
تركيب فيلتر ذره ترتيبي و شكل دهنده پرتو براي مكانيابي منابع اخلالگر مغزي
|
# |
1400 - 06 |
|
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
|
# |
1397 - 03 |