Articles with public access mandates - Nur AhmadiLearn more
Not available anywhere: 2
Spike rate estimation using Bayesian adaptive kernel smoother (BAKS) and its application to brain machine interfaces
N Ahmadi, TG Constandinou, CS Bouganis
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Mandates: UK Engineering and Physical Sciences Research Council
Signal Quality Assessment for Wearable Multichannel Photoplethysmography Signals
MD Prihatmoko, N Ahmadi, PH Charlton, T Adiono
2023 Asia Pacific Signal and Information Processing Association Annual …, 2023
Mandates: British Heart Foundation
Available somewhere: 7
Towards a distributed, chronically-implantable neural interface
N Ahmadi, ML Cavuto, P Feng, LB Leene, M Maslik, F Mazza, ...
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 719-724, 2019
Mandates: UK Engineering and Physical Sciences Research Council
Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning
N Ahmadi, TG Constandinou, CS Bouganis
Journal of Neural Engineering 18 (2), 026011, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS)
N Ahmadi, TG Constandinou, CS Bouganis
PLoS One 13 (11), e0206794, 2018
Mandates: UK Engineering and Physical Sciences Research Council
Inferring entire spiking activity from local field potentials
N Ahmadi, TG Constandinou, CS Bouganis
Scientific Reports 11 (1), 19045, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Impact of referencing scheme on decoding performance of LFP-based brain-machine interface
N Ahmadi, TG Constandinou, CS Bouganis
Journal of Neural Engineering 18 (1), 016028, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Improved spike-based brain-machine interface using Bayesian adaptive kernel smoother and deep learning
N Ahmadi, T Adiono, A Purwarianti, TG Constandinou, CS Bouganis
IEEE Access 10, 29341-29356, 2022
Mandates: UK Engineering and Physical Sciences Research Council
End-to-end hand kinematics decoding from local field potentials using temporal convolutional network
N Ahmadi, TG Constandinou, CS Bouganis
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019
Mandates: UK Engineering and Physical Sciences Research Council
Publication and funding information is determined automatically by a computer program