custom template-based sorting matlab program Search Results


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MathWorks Inc normxcorr2.m cross-correlation–based template matching operation
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MathWorks Inc custom template-based sorting matlab program
CI stimulus artifact removal. Electrical artifacts caused by CI stimulation were removed from neural recordings using a notch filter. a, Electrical artifacts were typically an order of magnitude larger than spiking activity. Raw neural signal was recorded during a 500 ms duration; 488 Hz stimulus is shown. Without artifact removal, such high stimulation rates prevent reliable sorting during the stimulus period. b, Frequency spectrum of the raw signal shown in a. Spectral peaks occur at integer multiples of the stimulus repetition rate. c, A notch filter was created with spectral nulls at integer multiples of the stimulus repetition rate. d, The raw signal was digitally filtered with the notch filter, allowing spikes to be recovered. e, Spikes were sorted offline using a custom template-based sorting <t>MATLAB</t> program. Spikes obtained after filtering were reduced in amplitude (black), but maintained similar shape as unfiltered spikes (gray). f, SNR of isolated units was large enough to very reliably sort units after notch filtering (median = 28.1 dB). g, Neural responses to CI stimulus delivered at 4–488 Hz. Only responses to stimuli ≥128 Hz were notch filtered. For visualization, stimulus artifact in unfiltered signals is highlighted red.
Custom Template Based Sorting Matlab Program, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc fieldtrip toolbox
CI stimulus artifact removal. Electrical artifacts caused by CI stimulation were removed from neural recordings using a notch filter. a, Electrical artifacts were typically an order of magnitude larger than spiking activity. Raw neural signal was recorded during a 500 ms duration; 488 Hz stimulus is shown. Without artifact removal, such high stimulation rates prevent reliable sorting during the stimulus period. b, Frequency spectrum of the raw signal shown in a. Spectral peaks occur at integer multiples of the stimulus repetition rate. c, A notch filter was created with spectral nulls at integer multiples of the stimulus repetition rate. d, The raw signal was digitally filtered with the notch filter, allowing spikes to be recovered. e, Spikes were sorted offline using a custom template-based sorting <t>MATLAB</t> program. Spikes obtained after filtering were reduced in amplitude (black), but maintained similar shape as unfiltered spikes (gray). f, SNR of isolated units was large enough to very reliably sort units after notch filtering (median = 28.1 dB). g, Neural responses to CI stimulus delivered at 4–488 Hz. Only responses to stimuli ≥128 Hz were notch filtered. For visualization, stimulus artifact in unfiltered signals is highlighted red.
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MathWorks Inc matlab-based matched-filter data-template detector algorithm
CI stimulus artifact removal. Electrical artifacts caused by CI stimulation were removed from neural recordings using a notch filter. a, Electrical artifacts were typically an order of magnitude larger than spiking activity. Raw neural signal was recorded during a 500 ms duration; 488 Hz stimulus is shown. Without artifact removal, such high stimulation rates prevent reliable sorting during the stimulus period. b, Frequency spectrum of the raw signal shown in a. Spectral peaks occur at integer multiples of the stimulus repetition rate. c, A notch filter was created with spectral nulls at integer multiples of the stimulus repetition rate. d, The raw signal was digitally filtered with the notch filter, allowing spikes to be recovered. e, Spikes were sorted offline using a custom template-based sorting <t>MATLAB</t> program. Spikes obtained after filtering were reduced in amplitude (black), but maintained similar shape as unfiltered spikes (gray). f, SNR of isolated units was large enough to very reliably sort units after notch filtering (median = 28.1 dB). g, Neural responses to CI stimulus delivered at 4–488 Hz. Only responses to stimuli ≥128 Hz were notch filtered. For visualization, stimulus artifact in unfiltered signals is highlighted red.
Matlab Based Matched Filter Data Template Detector Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc vbm spm matlab script templates
Maps for all models and real data are shown. The displayed t -statistics range is [0, 8] (colour scale) and is based on the <t>VBM</t> of the real data. The t -statistics were corrected following the procedure used in ref. .
Vbm Spm Matlab Script Templates, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc matlab 2018a
Maps for all models and real data are shown. The displayed t -statistics range is [0, 8] (colour scale) and is based on the <t>VBM</t> of the real data. The t -statistics were corrected following the procedure used in ref. .
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MathWorks Inc cross-correlation based template matching code
Maps for all models and real data are shown. The displayed t -statistics range is [0, 8] (colour scale) and is based on the <t>VBM</t> of the real data. The t -statistics were corrected following the procedure used in ref. .
Cross Correlation Based Template Matching Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc self-built template-based subtraction method
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MathWorks Inc matlab scripts cg_create_template
Maps for all models and real data are shown. The displayed t -statistics range is [0, 8] (colour scale) and is based on the <t>VBM</t> of the real data. The t -statistics were corrected following the procedure used in ref. .
Matlab Scripts Cg Create Template, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


CI stimulus artifact removal. Electrical artifacts caused by CI stimulation were removed from neural recordings using a notch filter. a, Electrical artifacts were typically an order of magnitude larger than spiking activity. Raw neural signal was recorded during a 500 ms duration; 488 Hz stimulus is shown. Without artifact removal, such high stimulation rates prevent reliable sorting during the stimulus period. b, Frequency spectrum of the raw signal shown in a. Spectral peaks occur at integer multiples of the stimulus repetition rate. c, A notch filter was created with spectral nulls at integer multiples of the stimulus repetition rate. d, The raw signal was digitally filtered with the notch filter, allowing spikes to be recovered. e, Spikes were sorted offline using a custom template-based sorting MATLAB program. Spikes obtained after filtering were reduced in amplitude (black), but maintained similar shape as unfiltered spikes (gray). f, SNR of isolated units was large enough to very reliably sort units after notch filtering (median = 28.1 dB). g, Neural responses to CI stimulus delivered at 4–488 Hz. Only responses to stimuli ≥128 Hz were notch filtered. For visualization, stimulus artifact in unfiltered signals is highlighted red.

Journal: The Journal of Neuroscience

Article Title: Representations of Time-Varying Cochlear Implant Stimulation in Auditory Cortex of Awake Marmosets ( Callithrix jacchus )

doi: 10.1523/JNEUROSCI.0093-17.2017

Figure Lengend Snippet: CI stimulus artifact removal. Electrical artifacts caused by CI stimulation were removed from neural recordings using a notch filter. a, Electrical artifacts were typically an order of magnitude larger than spiking activity. Raw neural signal was recorded during a 500 ms duration; 488 Hz stimulus is shown. Without artifact removal, such high stimulation rates prevent reliable sorting during the stimulus period. b, Frequency spectrum of the raw signal shown in a. Spectral peaks occur at integer multiples of the stimulus repetition rate. c, A notch filter was created with spectral nulls at integer multiples of the stimulus repetition rate. d, The raw signal was digitally filtered with the notch filter, allowing spikes to be recovered. e, Spikes were sorted offline using a custom template-based sorting MATLAB program. Spikes obtained after filtering were reduced in amplitude (black), but maintained similar shape as unfiltered spikes (gray). f, SNR of isolated units was large enough to very reliably sort units after notch filtering (median = 28.1 dB). g, Neural responses to CI stimulus delivered at 4–488 Hz. Only responses to stimuli ≥128 Hz were notch filtered. For visualization, stimulus artifact in unfiltered signals is highlighted red.

Article Snippet: Without artifact removal, such high stimulation rates prevent reliable sorting during the stimulus period. b , Frequency spectrum of the raw signal shown in a . Spectral peaks occur at integer multiples of the stimulus repetition rate. c , A notch filter was created with spectral nulls at integer multiples of the stimulus repetition rate. d , The raw signal was digitally filtered with the notch filter, allowing spikes to be recovered. e , Spikes were sorted offline using a custom template-based sorting MATLAB program.

Techniques: Activity Assay, Isolation

Journal: Neuron

Article Title: Brief synaptic inhibition persistently interrupts firing of fast-spiking interneurons

doi: 10.1016/j.neuron.2023.01.017

Figure Lengend Snippet:

Article Snippet: KiloSort (template-based spike sorting MATLAB© software) , Pachitariu & Cortex-lab , https://github.com/cortex-lab/KiloSort.

Techniques: Recombinant, In Vivo, Software

Maps for all models and real data are shown. The displayed t -statistics range is [0, 8] (colour scale) and is based on the VBM of the real data. The t -statistics were corrected following the procedure used in ref. .

Journal: Nature Machine Intelligence

Article Title: Realistic morphology-preserving generative modelling of the brain

doi: 10.1038/s42256-024-00864-0

Figure Lengend Snippet: Maps for all models and real data are shown. The displayed t -statistics range is [0, 8] (colour scale) and is based on the VBM of the real data. The t -statistics were corrected following the procedure used in ref. .

Article Snippet: The VBM SPM MATLAB script templates are available in Supplementary Section .

Techniques: