122 related articles for article (PubMed ID: 37216253)
1. Calibration-Free and Hardware-Efficient Neural Spike Detection for Brain Machine Interfaces.
Zhang Z; Feng P; Oprea A; Constandinou TG
IEEE Trans Biomed Circuits Syst; 2023 Aug; 17(4):725-740. PubMed ID: 37216253
[TBL] [Abstract][Full Text] [Related]
2. Low-power hardware for neural spike compression in BMIs.
Lapolli ÂC; Coppa B; Héliot R
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():2156-9. PubMed ID: 24110148
[TBL] [Abstract][Full Text] [Related]
3. Algorithm and hardware considerations for real-time neural signal on-implant processing.
Zhang Z; Savolainen OW; Constandinou TG
J Neural Eng; 2022 Feb; 19(1):. PubMed ID: 35130536
[No Abstract] [Full Text] [Related]
4. A Hardware-Efficient Scalable Spike Sorting Neural Signal Processor Module for Implantable High-Channel-Count Brain Machine Interfaces.
Yang Y; Boling S; Mason AJ
IEEE Trans Biomed Circuits Syst; 2017 Aug; 11(4):743-754. PubMed ID: 28541908
[TBL] [Abstract][Full Text] [Related]
5. Firing-rate-modulated spike detection and neural decoding co-design.
Zhang Z; Constandinou TG
J Neural Eng; 2023 May; 20(3):. PubMed ID: 37080210
[No Abstract] [Full Text] [Related]
6. A 10.8 µW Neural Signal Recorder and Processor With Unsupervised Analog Classifier for Spike Sorting.
Hao H; Chen J; Richardson A; Van der Spiegel J; Aflatouni F
IEEE Trans Biomed Circuits Syst; 2021 Apr; 15(2):351-364. PubMed ID: 33909570
[TBL] [Abstract][Full Text] [Related]
7. Adaptive spike detection and hardware optimization towards autonomous, high-channel-count BMIs.
Zhang Z; Constandinou TG
J Neurosci Methods; 2021 Apr; 354():109103. PubMed ID: 33617917
[TBL] [Abstract][Full Text] [Related]
8. A Power-and-Area-Efficient Channel-Interleaved Neural Signal Processor for Wireless Brain-Computer Interfaces with Unsupervised Spike Sorting.
Hu Z; Zhou Z; Lyu H
IEEE Trans Biomed Circuits Syst; 2024 May; PP():. PubMed ID: 38728121
[TBL] [Abstract][Full Text] [Related]
9. Deep compressive autoencoder for action potential compression in large-scale neural recording.
Wu T; Zhao W; Keefer E; Yang Z
J Neural Eng; 2018 Dec; 15(6):066019. PubMed ID: 30215605
[TBL] [Abstract][Full Text] [Related]
10. Data compression in brain-machine/computer interfaces based on the Walsh-Hadamard transform.
Hosseini-Nejad H; Jannesari A; Sodagar AM
IEEE Trans Biomed Circuits Syst; 2014 Feb; 8(1):129-37. PubMed ID: 24681926
[TBL] [Abstract][Full Text] [Related]
11. Power-efficient
Valencia D; Leone G; Keller N; Mercier PP; Alimohammad A
J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36645913
[No Abstract] [Full Text] [Related]
12. A low-power programmable neural spike detection channel with embedded calibration and data compression.
Rodriguez-Perez A; Ruiz-Amaya J; Delgado-Restituto M; Rodriguez-Vazquez Á
IEEE Trans Biomed Circuits Syst; 2012 Apr; 6(2):87-100. PubMed ID: 23852974
[TBL] [Abstract][Full Text] [Related]
13. Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination.
Yu B; Mak T; Li X; Smith L; Sun Y; Poon CS
Biomed Eng Online; 2012 Apr; 11():18. PubMed ID: 22490725
[TBL] [Abstract][Full Text] [Related]
14. An Efficient Hardware Architecture for Template Matching-Based Spike Sorting.
Valencia D; Alimohammad A
IEEE Trans Biomed Circuits Syst; 2019 Jun; 13(3):481-492. PubMed ID: 30932848
[TBL] [Abstract][Full Text] [Related]
15. A Streaming PCA VLSI Chip for Neural Data Compression.
Wu T; Zhao W; Guo H; Lim HH; Yang Z
IEEE Trans Biomed Circuits Syst; 2017 Dec; 11(6):1290-1302. PubMed ID: 28809707
[TBL] [Abstract][Full Text] [Related]
16. Low-Power Hardware Implementation of a Support Vector Machine Training and Classification for Neural Seizure Detection.
Elhosary H; Zakhari MH; Elgammal MA; Abd El Ghany MA; Salama KN; Mostafa H
IEEE Trans Biomed Circuits Syst; 2019 Dec; 13(6):1324-1337. PubMed ID: 31613779
[TBL] [Abstract][Full Text] [Related]
17. Efficient in Vivo Neural Signal Compression Using an Autoencoder-Based Neural Network.
Valencia D; Mercier PP; Alimohammad A
IEEE Trans Biomed Circuits Syst; 2024 Jun; 18(3):691-701. PubMed ID: 38285576
[TBL] [Abstract][Full Text] [Related]
18. Hardware and Power-Efficient Compression Technique Based on Discrete Tchebichef Transform for Neural Recording Microsystems.
Farsiani S; Sodagar AM
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():3489-3492. PubMed ID: 33018755
[TBL] [Abstract][Full Text] [Related]
19. A closed-loop compressive-sensing-based neural recording system.
Zhang J; Mitra S; Suo Y; Cheng A; Xiong T; Michon F; Welkenhuysen M; Kloosterman F; Chin PS; Hsiao S; Tran TD; Yazicioglu F; Etienne-Cummings R
J Neural Eng; 2015 Jun; 12(3):036005. PubMed ID: 25874929
[TBL] [Abstract][Full Text] [Related]
20. A method for compression of intra-cortically-recorded neural signals dedicated to implantable brain-machine interfaces.
Shaeri MA; Sodagar AM
IEEE Trans Neural Syst Rehabil Eng; 2015 May; 23(3):485-97. PubMed ID: 25222949
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
