An exploratory simulation study and prediction model on human brain behavior and activity using an integration of deep neural network and biosensor Rabi antenna
The plasmonic antenna probe is constructed using a silver rod embedded in a modified
Mach-Zehnder interferometer (MZI) ad-drop filter. Rabi antennas are formed when space …
Mach-Zehnder interferometer (MZI) ad-drop filter. Rabi antennas are formed when space …
Instantaneous communication between cerebellum, hypothalamus, and hippocampus (C–H–H) during decision-making process in human brain-III
Using the available database of cerebellum, hypothalamus, and hippocampus (C–H–H)
architecture of the human brain, we rebuilt the structures theoretically and experimentally …
architecture of the human brain, we rebuilt the structures theoretically and experimentally …
Fuzzy logic on long short-term memory for smart person-identification system through electroencephalogram
S Adhikary, K Jain, B Saha… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Brain functions through communication in between the network of numerous nerves by
means of electrical signals produced as a result of post synaptical potential. Electroen …
means of electrical signals produced as a result of post synaptical potential. Electroen …
Neural signals acquisition and intelligent analysis
G Jeon, X Yang, Y Tian, Y Pang - Frontiers in Neuroscience, 2023 - frontiersin.org
Neural signals include physiological and pathological information, which requires
psychological, biological, cognitive neuroscience, and clinical medicine information to …
psychological, biological, cognitive neuroscience, and clinical medicine information to …
An application real-time acquiring EEG signal from single lead electrode to recognize brain activity using Neurosky sensor
DS Nugroho, I Fahruzi - 2019 International Seminar on …, 2019 - ieeexplore.ieee.org
Electroencephalography (EEG) is one of the biological signals in humans that can be used
to define, evaluate and analyze brain signal activity. The EEG use has been more common …
to define, evaluate and analyze brain signal activity. The EEG use has been more common …
Analysis and processing of EEG signal: A review
T Negi - Proceedings of the International Conference on Smart …, 2021 - papers.ssrn.com
A Brain-computer interface is a recent field, in which various brain functions are analyzed
and/or controlled with the help of computers/controllers. EEG signals are helpful to analyze …
and/or controlled with the help of computers/controllers. EEG signals are helpful to analyze …
An iot model to improve cognitive skills of student learning experience using neurosensors
In a classroom, during the teaching period, there is a need of analyzing the basic level of
understanding in a student in order to improve the teaching method for better teaching …
understanding in a student in order to improve the teaching method for better teaching …
Detecting attention and meditation EEG utilized deep learning
CY Liao, RC Chen, QE Liu - … Advances in Intelligent Information Hiding and …, 2019 - Springer
Brainwave reflects the change in electrical potential resulting from the conjunction between
the thousands of brain neurons. A neuron can receive signals from other neurons and starts …
the thousands of brain neurons. A neuron can receive signals from other neurons and starts …
The Blue Brain Technology using Machine Learning
" Blue brain" is the first virtual brain in the world. It is a computer that functions similarly to the
human brain. The Blue Brain Project began developing the neocortical pillar in July 2005 in …
human brain. The Blue Brain Project began developing the neocortical pillar in July 2005 in …
Introduction: Brain–Computer Interface and Deep Learning
M Jindal, E Bajal, A Kazim - Brain‐Computer Interface: Using …, 2023 - Wiley Online Library
Brain signals or radiations are a relatively new concept that works with information collected
via human brain and cognitive activity. These signals like human brain are influenced by all …
via human brain and cognitive activity. These signals like human brain are influenced by all …