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AOpen 2681-GL LAN Driver

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AOpen 2681-GL LAN Driver

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Each point indicates one threshold-crossing event 2. The signals belonging to the noise central clusters are represented in gray.

The corresponding auto-correlograms on the right color-coded as on the left display clear refractory periods. A raster of each unit in a given time is provided. Each vertical line represents a spike. C Perievent raster plots left and perievent spectrograms right of representative inspiratory top and expiratory bottom neurons. AOpen 2681-GL LAN

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Each dot represents a spike. Color bars in the spectrograms represent the power value. Raw data was digitized at 25 kHz and stored in a personal computer for off-line analysis. By averaging the amplitude signals for several bursts, it is possible to clearly distinguish the changes in AOpen 2681-GL LAN pattern occurring during the transition from fictive-eupnea to fictive-gasping Figure 1Ainset; AOpen 2681-GL LAN et al.

Filtered channels containing the high frequency component of neural activity were exported to an OFFline Sorter program v.

Files of those recordings were merged AOpen 2681-GL LAN PlexUtil program v. Back in OFFline Sorter, spikes were detected by setting a threshold 2. In such a case, to decrease the noise in multiunit activity, the threshold for spike detection was raised to 4.


AOpen 2681-GL LAN Spikes that occurred within the refractory period set as 2 ms of the selected units or multiunits always less than 0. The sorting was verified by the existence of a refractory period in the interspike interval histogram 2 msas well as auto- and cross-correlation histograms examined with Neuroexplorer v.

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Timestamps of unitary and multiunitary recordings were used to build raster plots Figure 2Awhich were exported to MATLAB version Rb to be further analyzed with AOpen 2681-GL LAN routines. Detected spikes were converted to binary times of occurrence with a 1-ms bin Figures 1B2A.

Autocorrelation and cross-correlation functions were normalized AOpen 2681-GL LAN the firing rate to assure that any change in correlation values was independent of changes in firing frequency Nini et al. We calculated the mean frequency of recordings for both units and multiunits.

The reciprocal AOpen 2681-GL LAN the median inter-spike intervals ISI was taken to obtain an approximation of intraburst frequency of inspiratory neurons Galan et al. Our analysis included both inspiratory and expiratory neurons or non-inspiratory neurons. Correlation linkage matrices were built for each slice in each experimental condition Figures 3B5A ; Segers et al. The matrices contain the correlation value of those interactions that AOpen 2681-GL LAN the significance threshold 5 SD of correlation noise ; correlations that did not reach this threshold received a value of zero Figures 3A5A.


Similarly, the correlation matrices in the presence of isocitrate were subtracted from AOpen 2681-GL LAN control matrices in hypoxic conditions in the presence of isocitrate. The graphic representation of the network in any given condition was made with the open access software Cystoscape Cytoscape Consortium.

Change in respiratory network activity from normoxic to hypoxic conditions. A Raster plots of action potential recordings on different electrodes of the MEA. Lines may represent unitary or multi-unitary recordings, sometimes recorded with the same electrode when these AOpen 2681-GL LAN be distinguished. Each row is the activity obtained from a respiratory element and each vertical line represents a spike.


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