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Challenges and perspectives on impulse radio-ultra-wideband transceivers for neural recording applications
Brain-machine interfaces (BMI) are widely adopted in neuroscience investigations and
neural prosthetics, with sensing channel counts constantly increasing. These Investigations …
neural prosthetics, with sensing channel counts constantly increasing. These Investigations …
Seizure detection and prediction by parallel memristive convolutional neural networks
During the past two decades, epileptic seizure detection and prediction algorithms have
evolved rapidly. However, despite significant performance improvements, their hardware …
evolved rapidly. However, despite significant performance improvements, their hardware …
A 16-channel neural recording system-on-chip with CHT feature extraction processor in 65-nm CMOS
Next-generation invasive neural interfaces require fully implantable wireless systems that
can record from a large number of channels simultaneously. However, transferring the …
can record from a large number of channels simultaneously. However, transferring the …
On-chip Data Compression Techniques for High-Density Implantable Neural Recording
SS Baliyan, A Thakur… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Brain-machine interface (BMI) devices have emerged as a promising solution for a wide
range of neural disorders ranging from depression, epilepsy, and Parkinson's disease …
range of neural disorders ranging from depression, epilepsy, and Parkinson's disease …
Simulation and implementation of novel deep learning hardware architectures for resource constrained devices
C Lammie - 2022 - researchonline.jcu.edu.au
Corey Lammie designed mixed signal memristive-complementary metal–oxide–
semiconductor (CMOS) and field programmable gate arrays (FPGA) hardware architectures …
semiconductor (CMOS) and field programmable gate arrays (FPGA) hardware architectures …