https://crcns.org These are the search results for the query, showing results 361 to 375. https://crcns.org/forum/using-datasets/27635616/862717591 I am not the responsible for this data-set. But as far as I understood the spike sorting and cluster labeling is made over a day of recording.   Spike waveforms of all sessions within a day are stacked and the sorting is realized.   Some clusters ("neurons") may be present in a session but not in another one.   For this reason, the number of clusters may be the number of clusters within a day in that shank but not necessarily in that session.   Some neurons may be context dependent, or just the slight movement of the electrodes would lead to a change in the waveform and the emergence of a new cluster. No publisher ZeTargino 2019-12-16T18:07:09Z Comment https://crcns.org/forum/using-datasets/541720103/618168057 Hi, Firstly, thank you for uploading the pfc-2 dataset! I have a couple of questions concerning the data organization of LFPs in the dataset: - it's stated in the documentation that rat EE contains 104 channels, while rat FF and GG contain 101 channels. However, decoding the .eeg files give me 52 channels for rat EE and FF, and 101 channels for rat GG. Is this particular to the downsampled .eeg data? If so, what are their corresponding shank/electrode locations? Based on the LFP itself, it seems that for the 52-channel data, channels 1-32 are in pfc, while channels 33-48 are in hpc (prominent theta). - the session length information is at times inconsistent with the data length? For example: FF.167 .eeg file has 32.9633 minutes of data (assuming sampling rate of 1250), while the pdf indicates that the recording was 33.94 min. Visually examining the LFP power spectrum shows that the line noise is (correctly) at 60Hz when using sample rate of 1250Hz. If the recording was simply shortened, then this is no cause for concern. However, if samples were dropped, or a different sampling rate was used altogether, it would be problematic when trying to match the spike times in the _behavioral.mat files.  - it appears that rat GG (in particular, session GG.149) has a sampling rate of 625, not 1250. This is inferred both by calculating the matching session length (indicated in the pdf) and by the location of the first line spectra (120Hz instead of 60Hz). Was this dataset (and others for rat GG) downsampled differently? Thanks for your time! Richard Gao PhD Student @ UCSanDiego No publisher rigao 2018-02-06T23:18:50Z Comment https://crcns.org/forum/general/892823995/951779146 Thank you very much. I was able to download the data. Eii No publisher ei9999 2024-01-25T00:12:30Z Comment https://crcns.org/forum/general/892823995/951779145 The problem you describe was just fixed.  Downloads should be working now.   No publisher jteeters 2024-01-23T16:04:03Z Comment https://crcns.org/forum/using-datasets/764310204/103752431 Hi Michael, I also cannot see the image.  Unfortunately, the channel position information is not embedded in the uploaded data and can differ for each experiment. If you can help me by narrowing down which experiments are of interest I can find 'probe files' for each one that specify the channel positions. I am attaching a typical file that would be correct for ~75-90% of the data.    Previously Michael G Mariscal wrote: Hello,   Thanks for a very interesting dataset. I would like to know, where is each electrode in the probe? In other words, in the image below, which circle would correspond to electrode 1, and 2, etc?     Thank you!   No publisher kevinbolding 2020-12-27T20:27:47Z Comment https://crcns.org/forum/using-datasets/764310204/103752430 Hello Aditi, There are 10-15 awake trials per experiment. So FT:LT should provide 10-15 indices. If you want the spike raster information for a single Unit responding to a specific odor Valve on trial 1, you would use efd.ValveSpikes.RasterAlign{Valve,Unit}(1). To get the LFP signal for a given trial you would have to define a time window, convert the window to samples, and capture samples around the trial start. I would use the PREXtime as a the trial start, though you could use the FVtimes. For example: efd.ValveTimes.PREXTimes{Valve}(1) Finally, I am not entirely certain what you are referring to as LFP signals. Perhaps you are referring to the raw data. That is sampled at 30000 Hz. Respiration is sampled at 2000 Hz. The recordings are acquired simultaneously so if you convert between the sampling rates you can find the synchronized signals. Here is some imperfect example code for how to extract unfiltered raw samples in a timewindow around odor inhalation. If you are working on this actively I would suggest downsampling the raw data. I have not done it in the eample code.   % params EventTimes = efd.ValveTimes.PREXTimes{Valve}(FT:LT); Fs = 30000; nchannels = 32; PST = [-1 1]; % select a time window 1 second before and 1 second after inhalation.   % access raw data file rawfile = ???!!!\BoldingFranks_2018_DataSharing\Simul\raw\170609\170609_bank1.dat fdata = fopen(rawfile);    % perieventtime in samples  PES = round(diff(PST)*Fs);   % preallocate for memory datmat = zeros(nchannels,PES,length(EventTimes));   % extract data around a window for every event for E = 1:length(EventTimes)     fseek(fdata,round(EventTimes(E)*Fs+PST(1)*Fs)*nchannels*2,'bof');     rawdata = fread(fdata,PES*nchannels,'*int16');          if length(rawdata) < nchannels*PES        rawdata(length(rawdata): nchannels*PES) = nan;     end          datmat(:,:,E) = reshape(rawdata,nchannels,[]); end   % close raw data file fclose(fdata);     Previously Aditi Bishnoi wrote: Hello Authors,  Thank you for sharing this rich data set. Can you clarify on how to select the awake trials from the analysis? You mention using FT:LT indexing in data structures in your data description but that returns only 10 or 15 points, which I think is because I am doing it incorrectly. Please share an example of reading LFP signal from any one channel for the awake trial alone.  An additional query:  are respiration and LFP signals aligned in time ? Thank you.   No publisher kevinbolding 2020-12-27T20:18:39Z Comment https://crcns.org/forum/using-datasets/812351622/577287423 Hi Ignacio, Thank you for confirming that!  Best, Shrey No publisher sgrover 2020-12-23T20:53:32Z Comment https://crcns.org/forum/using-datasets/97053089/371588757 I am working with the the hc-1 data set, and was wondering whether there is a discrepancy in the length or the files. For instance, there is 1 data file for d15711. The spreadsheet IntraExtra says that this data set has a recording time of 60 (minutes?). When I view the data in ephyviewer, then the length of the file only comes to 750 seconds. I get the same length of time if I calculate it from the number of bytes in the file.  Is there missing data, or am I misreading the data description? Thanks! No publisher ecmun2002 2020-12-21T21:43:18Z Comment https://crcns.org/forum/using-datasets/812351622/897458732 Hi Shrey, Thanks for your interest in the dataset. Your deduction is correct - the data is coded as hg as per high gamma, and it corresponds to the HFA referred to throughout the manuscript (70-200Hz). Best, Ignacio No publisher isaez 2020-12-21T18:11:59Z Comment https://crcns.org/forum/using-datasets/7423855/937742033 Hi, I am trying to run the example script of the pvc-10 data set. This requires the cellmasks.mat file which is missing. Can you please upload this file? Thanks. Vijay No publisher vsin 2017-01-06T04:20:19Z Comment https://crcns.org/forum Discussions about using data or crcns.org. No publisher admin 2009-02-23T19:34:07Z Message Board https://crcns.org/forum/using-datasets/764310204/665098575 Yes I was referring to raw data. Many thanks for the prompt reply.    Previously Kevin Bolding wrote: Hello Aditi, There are 10-15 awake trials per experiment. So FT:LT should provide 10-15 indices. If you want the spike raster information for a single Unit responding to a specific odor Valve on trial 1, you would use efd.ValveSpikes.RasterAlign{Valve,Unit}(1). To get the LFP signal for a given trial you would have to define a time window, convert the window to samples, and capture samples around the trial start. I would use the PREXtime as a the trial start, though you could use the FVtimes. For example: efd.ValveTimes.PREXTimes{Valve}(1) Finally, I am not entirely certain what you are referring to as LFP signals. Perhaps you are referring to the raw data. That is sampled at 30000 Hz. Respiration is sampled at 2000 Hz. The recordings are acquired simultaneously so if you convert between the sampling rates you can find the synchronized signals. Here is some imperfect example code for how to extract unfiltered raw samples in a timewindow around odor inhalation. If you are working on this actively I would suggest downsampling the raw data. I have not done it in the eample code.   % params EventTimes = efd.ValveTimes.PREXTimes{Valve}(FT:LT); Fs = 30000; nchannels = 32; PST = [-1 1]; % select a time window 1 second before and 1 second after inhalation.   % access raw data file rawfile = ???!!!\BoldingFranks_2018_DataSharing\Simul\raw\170609\170609_bank1.dat fdata = fopen(rawfile);    % perieventtime in samples  PES = round(diff(PST)*Fs);   % preallocate for memory datmat = zeros(nchannels,PES,length(EventTimes));   % extract data around a window for every event for E = 1:length(EventTimes)     fseek(fdata,round(EventTimes(E)*Fs+PST(1)*Fs)*nchannels*2,'bof');     rawdata = fread(fdata,PES*nchannels,'*int16');          if length(rawdata) < nchannels*PES        rawdata(length(rawdata): nchannels*PES) = nan;     end          datmat(:,:,E) = reshape(rawdata,nchannels,[]); end   % close raw data file fclose(fdata);     Previously Aditi Bishnoi wrote: Hello Authors,  Thank you for sharing this rich data set. Can you clarify on how to select the awake trials from the analysis? You mention using FT:LT indexing in data structures in your data description but that returns only 10 or 15 points, which I think is because I am doing it incorrectly. Please share an example of reading LFP signal from any one channel for the awake trial alone.  An additional query:  are respiration and LFP signals aligned in time ? Thank you.     No publisher adibish 2020-12-28T18:17:22Z Comment https://crcns.org/forum/using-datasets/764310204/665098574 Michael, If you are referring to the recording schematic in figure 3b of the paper, here is the channel layout of the probe used by the authors : http://neuronexus.com/wp-content/uploads/2018/07/H32-Maps-20150121.pdf . Do correct me if I am wrong Kevin.      Previously Kevin Bolding wrote: Hi Michael, I also cannot see the image.  Unfortunately, the channel position information is not embedded in the uploaded data and can differ for each experiment. If you can help me by narrowing down which experiments are of interest I can find 'probe files' for each one that specify the channel positions. I am attaching a typical file that would be correct for ~75-90% of the data.    Previously Michael G Mariscal wrote: Hello,   Thanks for a very interesting dataset. I would like to know, where is each electrode in the probe? In other words, in the image below, which circle would correspond to electrode 1, and 2, etc?     Thank you!     No publisher adibish 2020-12-28T18:13:07Z Comment https://crcns.org/forum/using-datasets/812351622/76529862 Hello,   Thank you for making the ofc-3 dataset ( https://crcns.org/data-sets/ofc/ofc-3 ) available.   The accompanying documentation states that the electrophysiology data consists of ‘HG activity’. Accordingly, all variable names in the electrophysiology files consist of the acronym ‘hg’. However, I could not find the expansion of ‘hg’ in the document. I suspect that it refers to ‘high-gamma’ given that the original study examined high-frequency activity (HFA; 70-200 Hz), and the preprocessing methods suggest that the data may have been filtered into this frequency range. Can the authors please confirm whether the data uploaded to the repository has been filtered into this frequency range (70-200 Hz) or whether it consists of information from any other frequencies?   Thank you, Shrey Grover Cognitive and Clinical Neuroscience Laboratory   Boston University   No publisher sgrover 2020-12-16T15:42:14Z Comment https://crcns.org/forum/using-datasets/148999444/176007686 Hello all,  I was wondering if there was any updates to this issue. There are the EE188_Behaivor_PFC.mat and EE210_Behavior_PFC.mat files provided for those sessions, but I couldn't find the trial times as well as the normalized position in these arrays. Would it be possible to supply that time and position info in the similar way as it is provided in all the other sessions with the working memory tasks? Thanks so much for making this data set available and go through the effort of organizing and annotating it for the public use!  Best regards, Baran Yasar No publisher yasart 2018-12-19T11:51:32Z Comment