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matlab function trapz  (MathWorks Inc)


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    MathWorks Inc matlab function trapz
    Matlab Function Trapz, 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
    https://www.bioz.com/product/matlab+'trapz'+function/pm40640153-355-3-36
    Average 90 stars, based on 1 article reviews
    matlab function trapz - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Pre-sleep alpha brain entrainment by audio or visual stimulation for chronic widespread pain and sleep disturbance: A randomised crossover feasibility trial.
    Article Snippet: The resultant oscillatory component of the signal was subsequently J ur na l P re -p ro of integrated across the alpha band range (8–13 Hz) with the MATLAB 'trapz' function, log transformed and multiplied by 20 to give a value in decibels (dB).

    Article Title: Social touch promotes interfemale communication via activation of parvocellular oxytocin neurons.
    Article Snippet: 1Department of Neuropeptide Research in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.. 2Centre National de la Recherche Scientifique, Institute of Cellular and Integrative Neurosciences, University of Strasbourg, Strasbourg, France.. 3Center for Neuroinflammation and Cardiometabolic Diseases, Georgia State University, Atlanta, GA, USA.

    Article Title: Synaptic plasticity rules driving representational shifting in the hippocampus.
    Article Snippet: Synaptic plasticity is widely thought to support memory storage in the brain, but the rules determining impactful synaptic changes in vivo are not known.. We considered the trial-by-trial shifting dynamics of hippocampal place fields (PF) as an indicator of ongoing plasticity during memory formation and familiarization.. By implementing different plasticity rules in computational models of spiking place cells and comparing them to experimentally measured PFs from mice navigating familiar and new environments, we found that behavioral timescale synaptic plasticity (BTSP), rather than Hebbian spike-timing-dependent plasticity (STDP), best explains PF shifting dynamics.



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    Rectified soleus electromyography (EMG) traces (mean of 30 repetitions) from a control participant illustrating the heteronymous excitation (blue area) and inhibition (red area) from femoral nerve (FN) stimulation (2 × motor threshold, MT) onto ongoing soleus (SOL) EMG. Onset and offset latencies for excitation and inhibition are marked with blue and red circles, respectively. The solid horizontal black line represents the mean SOL background EMG, while the dashed horizontal line indicates one standard deviation below the mean. FN stimulation involved a single square pulse of 1 ms duration, resulting in a stimulation artifact (dashed vertical line). Excitation and inhibition areas (depicted as shaded blue and red regions, respectively) were quantified <t>using</t> <t>MATLAB’s</t> <t>‘trapz’</t> function, referenced to the mean background EMG. The duration was determined from the onset and offset timepoints
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    Rectified soleus electromyography (EMG) traces (mean of 30 repetitions) from a control participant illustrating the heteronymous excitation (blue area) and inhibition (red area) from femoral nerve (FN) stimulation (2 × motor threshold, MT) onto ongoing soleus (SOL) EMG. Onset and offset latencies for excitation and inhibition are marked with blue and red circles, respectively. The solid horizontal black line represents the mean SOL background EMG, while the dashed horizontal line indicates one standard deviation below the mean. FN stimulation involved a single square pulse of 1 ms duration, resulting in a stimulation artifact (dashed vertical line). Excitation and inhibition areas (depicted as shaded blue and red regions, respectively) were quantified using MATLAB’s ‘trapz’ function, referenced to the mean background EMG. The duration was determined from the onset and offset timepoints

    Journal: Journal of NeuroEngineering and Rehabilitation

    Article Title: Heteronymous feedback from quadriceps onto soleus in stroke survivors

    doi: 10.1186/s12984-025-01572-5

    Figure Lengend Snippet: Rectified soleus electromyography (EMG) traces (mean of 30 repetitions) from a control participant illustrating the heteronymous excitation (blue area) and inhibition (red area) from femoral nerve (FN) stimulation (2 × motor threshold, MT) onto ongoing soleus (SOL) EMG. Onset and offset latencies for excitation and inhibition are marked with blue and red circles, respectively. The solid horizontal black line represents the mean SOL background EMG, while the dashed horizontal line indicates one standard deviation below the mean. FN stimulation involved a single square pulse of 1 ms duration, resulting in a stimulation artifact (dashed vertical line). Excitation and inhibition areas (depicted as shaded blue and red regions, respectively) were quantified using MATLAB’s ‘trapz’ function, referenced to the mean background EMG. The duration was determined from the onset and offset timepoints

    Article Snippet: Excitation and inhibition areas (depicted as shaded blue and red regions, respectively) were quantified using MATLAB’s ‘trapz’ function, referenced to the mean background EMG.

    Techniques: Control, Inhibition, Standard Deviation