3 papers
cs.NE2026
Single-Entity Spiking Neuron Models: Survey
Leon Parepko, Danila Shulepin, Albert Nasybullin
In this work, we reviewed different approaches in mathematical modeling of biologically plausible neural systems. Models are characterized and classified based on their common feat…
cs.LG2026
How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data
Albert Nasybullin, Vladimir Maksimenko, Semen Kurkin
In this paper, we discuss a Machine Learning pipeline for the classification of EEG data. We propose a combination of synthetic data generation, long short-term memory artificial n…
cs.LG2026
Convolutional Neural Network and Adversarial Autoencoder in EEG images classification
Albert Nasybullin, Semen Kurkin
In this paper, we consider applying computer vision algorithms for the classification problem one faces in neuroscience during EEG data analysis. Our approach is to apply a combina…