Accuracy deficits during robotic time-constrained reaching are related to altered prefrontal cortex activity in children with cerebral palsy
Background The prefrontal cortex (PFC) is an important node for action planning in the
frontoparietal reaching network but its role in reaching in children with cerebral palsy (CP) is …
frontoparietal reaching network but its role in reaching in children with cerebral palsy (CP) is …
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis
Functional near-infrared spectroscopy (fNIRS) is employed as a non-invasive method to
monitor functional brain activation by capturing changes in the concentrations of oxygenated …
monitor functional brain activation by capturing changes in the concentrations of oxygenated …
Exploratory tNIRS Assessment of Cortical Activation during a Novel Virtual Reality Object Orientation Memory Task
J McIntyre, J McLinden, SB Borgheai… - … EMBS Conference on …, 2023 - ieeexplore.ieee.org
Decoding neural signatures of visuo-spatial functions can play an important role in guiding
human-computer interactions (HCI). Virtual reality (VR) enhances these interactions and …
human-computer interactions (HCI). Virtual reality (VR) enhances these interactions and …
Neurological and Behavioural Correlates of Construal in Economic Decision-Making Under Cognitive Load.
C Wilson - 2024 - research.tees.ac.uk
Construal level has been shown to influence economic decisions, affecting both risk
perception and risk-taking. However, there has been some inconsistency as to the exact …
perception and risk-taking. However, there has been some inconsistency as to the exact …
Enhancing Mental Workload Classification in Neuroscience: Deep Learning Approaches
This study aims to classify mental workload levels from n-back cognitive data by employing a
diverse set of deep learning approaches capable of accommodating both dense and sparse …
diverse set of deep learning approaches capable of accommodating both dense and sparse …