Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces
Intracortical brain-computer interfaces (iBCIs) enable people with tetraplegia to gain intuitive
cursor control from movement intentions. To translate to practical use, iBCIs should provide …
cursor control from movement intentions. To translate to practical use, iBCIs should provide …
Months-long high-performance fixed LSTM decoder for cursor control in human intracortical brain-computer interfaces
T Hosman, TK Pun, A Kapitonava… - 2023 11th …, 2023 - ieeexplore.ieee.org
Intracortical brain-computer interfaces (iBCIs) enable high performance cursor control for
people with tetraplegia by inferring motor intentions from neural recordings. However …
people with tetraplegia by inferring motor intentions from neural recordings. However …
A double-layer multi-resolution classification model for decoding spatiotemporal patterns of spikes with small sample size
We build a double-layer, multiple temporal-resolution classification model for decoding
single-trial spatiotemporal patterns of spikes. The model takes spiking activities as input …
single-trial spatiotemporal patterns of spikes. The model takes spiking activities as input …
Spike-Weighted Spiking Neural Network with Spiking Long Short-Term Memory: A Biomimetic Approach to Decoding Brain Signals
Background. Brain–machine interfaces (BMIs) offer users the ability to directly communicate
with digital devices through neural signals decoded with machine learning (ML)-based …
with digital devices through neural signals decoded with machine learning (ML)-based …
Information sparseness in cortical microelectrode channels while decoding movement direction using an artificial neural network
Implanted microelectrode arrays can directly pick up electrode signals from the primary
motor cortex (M1) during movement, and brain-machine interfaces (BMIs) can decode these …
motor cortex (M1) during movement, and brain-machine interfaces (BMIs) can decode these …
A Feature-Cascaded Correntropy LSTM for Tourists Prediction
Forecasting the number of tourists is significant to public safety, which can enable the
government to control the sudden influx of tourists timely. The temporal dependence …
government to control the sudden influx of tourists timely. The temporal dependence …
Deep learning for neural encoding and decoding of remotely controlled object
AWH Lim - 2023 - dr.ntu.edu.sg
Understanding the information presented within each individual neurons' firing rate in
relation to the environment is of great interest to neuroscientists. Encoding models which …
relation to the environment is of great interest to neuroscientists. Encoding models which …