Anna V Makarova

Neuronal avalanches in awake macaque V1 and V4

The paper investigates neuronal avalanches in awake macaques' V1 and V4, finding power law distributions and robustness to detection parameters.

DualMyo: Multi-Channel Dual-Stream Transformer Architecture for EMG-to-Digit Classification

This paper introduces DualMyo, a Transformer-based model for EMG-to-digit classification, achieving 91% accuracy with lightweight fine-tuning for cross-session adaptation.

Cross-Recording Handwritten Digit Decoding from sEMG Using a Compact CNN-Transformer and Few-Shot Adaptation

This paper develops a compact CNN-Transformer model for decoding handwritten digits from sEMG signals, showing improved performance with few-shot adaptation.

Data aggregation strategies for a P300 speller: decoding models, epoch averaging, cross-subject ensembles, and multi-channel models

This paper compares data aggregation strategies for improving P300 classification using EEG, finding that controlled cross-subject averaging with multi-channel models achieves high Information Transfer Rate.

Connecting a P300 speller to a large language model

This paper connects a P300 speller to a large language model to improve text generation accuracy and communication speed by leveraging contextual error correction.

Beyond Traditional Poincare Analysis: Second-Order Plots Reveal Respiratory Effects in Heart Rate Variability

This paper introduces a second-order Poincare plot to analyze heart rate variability, revealing respiratory effects through serial dependencies in RR intervals.

Speech decoding from a small set of spatially segregated minimally invasive intracranial EEG electrodes with a compact and interpretable neural network

This paper decodes speech from minimally invasive EEG electrodes using a compact neural network, achieving 55-70% accuracy with few channels.