Comparative temporal dynamics of individuation and perceptual averaging using a biological neural network model
Analyzing visual scenes and computing ensemble statistics, known as perceptual
averaging, is crucial for the stable sensory experience of a cognitive agent. Despite the …
averaging, is crucial for the stable sensory experience of a cognitive agent. Despite the …
Comparing Visual and Auditory P300-based Brain-Computer Interfaces: An Experimental Study
R Sengupta, A Shukla, R Janapati… - 2024 15th …, 2024 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) have traditionally focused on visual paradigms, with the
P300-based EEGBCI being a common approach. However, auditory BCIs are gaining …
P300-based EEGBCI being a common approach. However, auditory BCIs are gaining …
Exploring Neural Dynamics in a Recurrent On-Center Off-Surround Network: Insights from a Go/No-Go Task Simulation
R Sengupta - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
Understanding decision-making mechanisms is crucial in neuroscience. Here, we introduce
a computational model employing recurrent on-center off-surround neural networks to …
a computational model employing recurrent on-center off-surround neural networks to …
Enhancing Additive Recurrent OCOS Neural Networks with Chebyshev Polynomial Activation Functions for Signal Processing and AI Applications
R Sengupta - 2024 - authorea.com
Neural networks have proven highly effective in signal processing and AI, particularly in
handling complex, high-dimensional data with temporal dependencies. Additive recurrent …
handling complex, high-dimensional data with temporal dependencies. Additive recurrent …