As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic the human brain's structure—can help process information faster and more ...

Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...

Using ChatGPT on a long-term basis could have negative effects on brain function. That’s according to a study led by the Massachusetts Institute of Technology (MIT), which found that using a large ...

The brain criticality hypothesis has been a central research topic in theoretical neuroscience for two decades. This hypothesis suggests that the brain operates near the critical point at the boundary ...

Abstract: In this paper, the hyperbolic tangent function and its application in a test neural network on a Field Programmable Gate Array are presented, using the Verilog hardware description language.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In chemical reaction network theory, ordinary differential equations are used to model ...

Abstract: Facial Recognition considering one of the most difficult operations due to the unruly amount of datasets. However, human could easy to recognize an emotion while inconceivably for a ...