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minianalysis software version 6.0.7  (synaptosoft inc)

 
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    synaptosoft inc minianalysis software version 6.0.7
    Minianalysis Software Version 6.0.7, supplied by synaptosoft inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/minianalysis+software+version+6%2E0%2E7/minianalysis+software/bio_rxiv__2023__12__21__572886-262-31-35
    Average 90 stars, based on 1 article reviews
    minianalysis software version 6.0.7 - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Functional BK channels facilitate the ? 3 -adrenoceptor agonist-mediated relaxation of nerve-evoked contractions in rat urinary bladder smooth muscle isolated strips
    Article Snippet: The EFS-induced DSM contractions were analyzed using MiniAnalysis software version 6.0.7 (Synaptosoft, Inc., Decatur, GA).

    Article Title: Genetically Induced Retrograde Amnesia of Associative Memories After Neuroplastin Ablation.
    Article Snippet: The mEPSCs and mIPSCs offline analysis used MiniAnalysis software (version 6.0.7; Synaptosoft, Decatur, GA).

    Article Title: BRL37344, a β3-adrenergic receptor agonist, decreases nerve-evoked contractions in human detrusor smooth muscle isolated strips: Role of BK channels
    Article Snippet: MiniAnalysis software version 6.0.7 (Synaptosoft, Inc., Decatur, GA) was used to analyze data of the EFS-induced contractions.

    Article Title: Synaptic Inhibition of Medial Olivocochlear Efferent Neurons by Neurons of the Medial Nucleus of the Trapezoid Body
    Article Snippet: Spontaneous PSCs were automatically identified using MiniAnalysis software version 6.0.7 (Synaptosoft), using a threshold of 2 RMS noise.

    Article Title: Fast inhibition slows and desynchronizes auditory efferent neuron activity
    Article Snippet: Inhibitory inputs were blocked using bath application of strychnine (1 μM) and Gabazine (SR95531, 50 μM) and gap free recordings were again taken during pharmacological manipulation. mPSPs were detected using using MiniAnalysis software version 6.0.7 (Synaptosoft) using a threshold of 2 x RMS noise.

    Software:

    Article Title: SK but not IK channels regulate human detrusor smooth muscle spontaneous and nerve-evoked contractions
    Article Snippet: .. MiniAnalysis (Synaptosoft, Decatur, GA) software version 6.0.7 was used to analyze data from DSM phasic contractions and EFS-induced contractions. .. GraphPad Prism 4.03 software (GraphPad Software, San Diego, CA) was used for further statistical analysis.

    Article Title: Activating Transcription Factor 4 (ATF4) Regulates Neuronal Activity by Controlling GABABR Trafficking
    Article Snippet: .. Signals were filtered at 2 kHz, digitized at 10 kHz, stored and analyzed offline 160 using MiniAnalysis Software (Synaptosoft, Version 6.0.7). ..



    Similar Products

    minianalysis software version 6.0.7  (synaptosoft inc)
    90
    synaptosoft inc minianalysis software version 6.0.7
    Minianalysis Software Version 6.0.7, supplied by synaptosoft inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/minianalysis+software+version+6%2E0%2E7/minianalysis+software/bio_rxiv__2023__12__21__572886-262-31-35
    Average 90 stars, based on 1 article reviews
    minianalysis software version 6.0.7 - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    minianalysis software (version 6.0.7  (synaptosoft inc)
    90
    synaptosoft inc minianalysis software (version 6.0.7
    a , Scheme of event detection benchmarking. Six methods are compared using precision and recall metrics. b , Event-free recordings were superimposed with generated events to create ground-truth data. Depicted example data have a signal-to-noise ratio (SNR) of 9 dB. c , Left: Output of the detection methods for data in b . Right: Improvement in SNR relative to the data. Note that <t>MiniAnalysis</t> is omitted from this analysis because the software does not provide output trace data. d , SNR from mEPSC recordings at MF–GC synapses (n = 170, whiskers cover full range of data). e–g , Recall, precision, and F1 score versus SNR for the six different methods. Data are averages of three independent runs for each SNR. h , Average F1 score versus event kinetics. Detection methods relying on an event template (template-matching, deconvolution and Bayesian) are not very robust to changes in event kinetics. i , Evaluating the threshold dependence of detection methods. Asterisk marks event close to detection threshold. j , Number of detected events vs. threshold (in % of default threshold value, range 5–195) for different methods. Dashed line indicates true event number.
    Minianalysis Software (Version 6.0.7, supplied by synaptosoft inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/minianalysis+software+version+6%2E0%2E7/minianalysis+software/bio_rxiv__2023__11__02__565316-280-24-28
    Average 90 stars, based on 1 article reviews
    minianalysis software (version 6.0.7 - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    minianalysis software synaptosoft version 6.0.7  (synaptosoft inc)
    90
    synaptosoft inc minianalysis software synaptosoft version 6.0.7
    a , Scheme of event detection benchmarking. Six methods are compared using precision and recall metrics. b , Event-free recordings were superimposed with generated events to create ground-truth data. Depicted example data have a signal-to-noise ratio (SNR) of 9 dB. c , Left: Output of the detection methods for data in b . Right: Improvement in SNR relative to the data. Note that <t>MiniAnalysis</t> is omitted from this analysis because the software does not provide output trace data. d , SNR from mEPSC recordings at MF–GC synapses (n = 170, whiskers cover full range of data). e–g , Recall, precision, and F1 score versus SNR for the six different methods. Data are averages of three independent runs for each SNR. h , Average F1 score versus event kinetics. Detection methods relying on an event template (template-matching, deconvolution and Bayesian) are not very robust to changes in event kinetics. i , Evaluating the threshold dependence of detection methods. Asterisk marks event close to detection threshold. j , Number of detected events vs. threshold (in % of default threshold value, range 5–195) for different methods. Dashed line indicates true event number.
    Minianalysis Software Synaptosoft Version 6.0.7, supplied by synaptosoft inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/minianalysis+software+version+6%2E0%2E7/minianalysis+synaptosoft/pm25261783-130-14-16
    Average 90 stars, based on 1 article reviews
    minianalysis software synaptosoft version 6.0.7 - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

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    a , Scheme of event detection benchmarking. Six methods are compared using precision and recall metrics. b , Event-free recordings were superimposed with generated events to create ground-truth data. Depicted example data have a signal-to-noise ratio (SNR) of 9 dB. c , Left: Output of the detection methods for data in b . Right: Improvement in SNR relative to the data. Note that MiniAnalysis is omitted from this analysis because the software does not provide output trace data. d , SNR from mEPSC recordings at MF–GC synapses (n = 170, whiskers cover full range of data). e–g , Recall, precision, and F1 score versus SNR for the six different methods. Data are averages of three independent runs for each SNR. h , Average F1 score versus event kinetics. Detection methods relying on an event template (template-matching, deconvolution and Bayesian) are not very robust to changes in event kinetics. i , Evaluating the threshold dependence of detection methods. Asterisk marks event close to detection threshold. j , Number of detected events vs. threshold (in % of default threshold value, range 5–195) for different methods. Dashed line indicates true event number.

    Journal: bioRxiv

    Article Title: Deep learning-based synaptic event detection

    doi: 10.1101/2023.11.02.565316

    Figure Lengend Snippet: a , Scheme of event detection benchmarking. Six methods are compared using precision and recall metrics. b , Event-free recordings were superimposed with generated events to create ground-truth data. Depicted example data have a signal-to-noise ratio (SNR) of 9 dB. c , Left: Output of the detection methods for data in b . Right: Improvement in SNR relative to the data. Note that MiniAnalysis is omitted from this analysis because the software does not provide output trace data. d , SNR from mEPSC recordings at MF–GC synapses (n = 170, whiskers cover full range of data). e–g , Recall, precision, and F1 score versus SNR for the six different methods. Data are averages of three independent runs for each SNR. h , Average F1 score versus event kinetics. Detection methods relying on an event template (template-matching, deconvolution and Bayesian) are not very robust to changes in event kinetics. i , Evaluating the threshold dependence of detection methods. Asterisk marks event close to detection threshold. j , Number of detected events vs. threshold (in % of default threshold value, range 5–195) for different methods. Dashed line indicates true event number.

    Article Snippet: We compared the deep learning-based miniML with the following previously described detection methods: template-matching , deconvolution , a finite threshold-based approach , the commercial MiniAnalysis software (version 6.0.7, Synaptosoft), and a Bayesian inference procedure .

    Techniques: Generated, Software