A Low-Noise Neural Signal Amplifier Achieving 1.6 NEF and 2.56 PEF for Brain-Machine Interface.
Weijian ChenXu LiuWeisong LiangZeyu LuPeiyuan WanZhijie ChenPublished in: APCCAS (2022)
Keyphrases
- low signal to noise ratio
- random noise
- signal detection
- low snr
- signal noise ratio
- computational neuroscience
- biologically plausible
- high noise
- received signal
- network architecture
- white noise
- noisy environments
- additive noise
- high sensitivity
- low frequency
- wide band
- impulse response
- continuous wavelet transform
- high frequency
- neural network
- functional connectivity
- human brain
- noise variance
- transcranial magnetic stimulation
- biomedical signals
- noise level
- power spectrum
- signal processing
- biologically inspired
- high signal to noise ratio
- noisy data
- stochastic resonance
- diffusion mri
- edge detection
- direct sequence spread spectrum
- event related potentials
- signal to noise ratio
- noisy images
- response function
- wiener filter
- brain computer interface
- brain images
- electrical activity
- sensory motor
- spiking neural networks
- frequency domain
- gaussian noise
- noise model
- ecg signals
- single channel
- functional magnetic resonance imaging