SR-based pre-emphasis of neural recordings

Facilitating Stochastic Resonance as a Pre-Emphasis Method for Neural Spike Detection

버전 1.1.4 (27.3 MB)
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2020/8/31

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There are two main files that should be run for SD1 (intracellular recording) and SD2 (synthetic extracellular dataset).

Main_SD1_SR_based_pre_emphasis.m is main code for SD1 that requires following .mat and .m files: int11222.mat, Intra_11222_SNR.m, od_monostable_SR.m, teager_energy_op.m, bpf_SD1.m.

Main_SD2_SR_based_pre_emphasis.m is main code for SD2 that requires fo following .mat and .m files: C_Difficult2_noise02.mat, C_Difficult2_noise02_SNR.m, bpf_SD2.m, od_monostable_SR.m .

"This material is based upon work supported by the National Science Foundation under Grant Number 1916160."

Please refer to the paper for further details.

Please cite C. B. Güngör and H. Töreyin, "Facilitating Stochastic Resonance as a Pre-Emphasis Method for Neural Spike Detection" Journal of Neural Engineering, 2020, doi:http://iopscience.iop.org/10.1088/1741-2552/abae8a

인용 양식

C. B. Güngör and H. Töreyin, "Facilitating Stochastic Resonance as a Pre-Emphasis Method for Neural Spike Detection" Journal of Neural Engineering, 2020, doi:http://iopscience.iop.org/10.1088/1741-2552/abae8a

Cihan Gungor (2026). SR-based pre-emphasis of neural recordings (https://kr.mathworks.com/matlabcentral/fileexchange/78441-sr-based-pre-emphasis-of-neural-recordings), MATLAB Central File Exchange. 검색 날짜: .

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