Sajede AghababaeiIran University of Science and Technology · School of Electrical and Eletronics Engineering
Sajede Aghababaei
Master of Engineering
About
4
Publications
680
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
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
Education
September 2021 - December 2023
October 2016 - November 2020
Publications
Publications (4)
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...
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...
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...
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...