Sajede Aghababaei

Sajede Aghababaei
Iran University of Science and Technology · School of Electrical and Eletronics Engineering

Master of Engineering

About

4
Publications
680
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50
Citations
Introduction
I'm passionate about the intersection of neural signal processing and brain-computer interfaces (BCI). With a background in Bioelectronic, I'm dedicated to advancing our understanding of how technology can seamlessly integrate with the human brain. My research interests include: Neural data and signal prospecting Computational and System Neuroscience Brain-Computer Interface
Additional affiliations
July 2019 - September 2019
Shahid Beheshti University
Position
  • Intern
Description
  • EEG Recording and Analysis Cognitive Task Design
Education
September 2021 - December 2023
Iran University of Science and Technology
Field of study
  • neuroengineering
October 2016 - November 2020
Amirkabir University of Technology
Field of study
  • Biomedical Engineering

Publications

Publications (4)
Article
Full-text available
We present a protocol for decoding kinematic and kinetic parameters from the primary somatosensory cortex during active and passive hand movements in a center-out reaching task using state-based and conventional decoders. We describe steps for preparing data and using the state-based model to classify movement directions into states via feature ext...
Article
Autapse is introduced as a self-feedback connection that connects the dendrites and axons of the same neuron. Previous studies have revealed that the existence of the autapse can influence the synchronized behaviours of the coupled neurons. In this paper, the chimera state is studied in the presence of autaptic connections. To this aim, a regular n...
Article
Full-text available
The fractional calculus in the neuronal models provides the memory properties. In the fractional-order neuronal model, the dynamics of the neuron depends on the derivative order, which can produce various types of memory-dependent dynamics. In this paper, the behaviors of the coupled fractional-order FitzHugh–Nagumo neurons are investigated. The ef...
Conference Paper
Full-text available
Background and Aim : Based on the theory that high-frequency oscillations promote alertness and attentional concentration (Vernon, 2009), stimulating the brain in the beta range can enhance the performance of attention. There are various methods for stimulating the brain and one of them is binaural beats which is an auditory stimulation. In binaura...

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