https://crcns.org These are the search results for the query, showing results 481 to 495. https://crcns.org/forum/using-datasets/633187280/855897031 I'm not familiar with the EEGLAB, but I suspect that software is expecting that files with the .eeg extension conforms to a particular format which is different than the .eeg files in the dataset which are probably just binary files containing only data with no metadata.   Try to load the files into matlab arrays without using EEGLAB, maybe using scripts included with the hc-2 dataset. Best wishes, Jeff     No publisher jteeters 2020-04-17T05:19:20Z Comment https://crcns.org/forum/using-datasets/633187280/559194408 Hello, I am writing to seek advice from you on the bug when I load the hc3--vvp01 data. I am using this publicity dataset to perform some signal processing tasks. I have used the EEGLAB software (running on Matlab) to load the vvp01 data (.eeg files), and adopted the default parameters configuration. However, when reserving array an unexpected error occurs, saying the required storage (65358 * 6536500 = 3183.0GB) excesses the maximum matrix size. I am not sure what happened. Could you please help me to check and solve this problem?    Thank you very much for sharing this interesting EEG data~~   Best regards,   Stone   No publisher Binli 2020-04-15T07:48:05Z Comment https://crcns.org/forum/using-datasets/219953310/570528367 Hello,   This is surprising, my local copy of the file is in the right format. Let me see if something went wrong during data uploading. Best, Adrien No publisher apeyrache 2019-05-23T02:39:33Z Comment https://crcns.org/forum/using-datasets/219953310/570528366 Dear Adrien, Thanks for the reply.  I was able to open the .ang files. But I don't find the time information in the file (1st column). Do you know how to calculate the time stamps for each angle data?  I am looking at session Mouse24-131213. Best, Shyam   No publisher shyamk 2019-05-21T16:35:58Z Comment https://crcns.org/forum/using-datasets/153000545/451568686 Hello,  I can't download the data of "Fedele T, Burnos S, Boran E, Krayenbühl N, Hilfiker P, Grunwald T, Sarnthein J. Resection of high frequency oscillations predicts seizure outcome in the individual patient. Scientific Reports. 2017;7(1):13836." Please, I need the help , I could not download the data even though my internet connection is good.   Thanks in advance Best regards No publisher Fatma 2021-05-24T21:29:46Z Comment https://crcns.org/forum/using-datasets/976211409/124480917 Dear authors,   I noticed that there are some very short ISIs, as short as 0.015 ms (so far I only looked at the first recording, site1-rn1.mat), which makes me wonder if the spike-sorting procedure has been validated. I haven't run an exhaustive analysis, but very short ISIs seem to be fairly common (for 27/31 single units in site1-rn1.mat , the shortest ISI is below 1 ms).   Thank you, best regards, No publisher fbaroni 2021-10-08T12:46:07Z Comment https://crcns.org/forum/using-datasets/267886582/751117108 Thank you for making this valuable resource publicly available.   I am analyzing your data to study temporal changes in neural responses. I was unable to find information on the time of day the recordings were made.   Would it be possible to get the approximate time for the experiments? Even a rough record from lab notes would be very helpful.   Any information you can provide would be greatly appreciated.   Thank you. No publisher k223314 2025-07-10T08:53:21Z Comment https://crcns.org/forum/using-datasets/97053089/472388283 I am working specifically with all experiments that used 6-channel linear probes. These include data sets d15711 through d18911. I find discrepancies in the reported times for almost all of the files. It looks like each individual file has 750s of data, focused on synchronized (non-REM like) states during the anesthesia.  Thanks again, it would be nice to have confirmation on this. No publisher ecmun2002 2021-03-30T15:25:50Z Comment https://crcns.org/forum/using-datasets/918330398/480960724 One of the data contributors indicated by email that the answer to this is the same as for: http://crcns.org/forum/using-datasets/495688760#64106314   No publisher jteeters 2018-10-10T19:51:01Z Comment https://crcns.org/forum/using-datasets/190683764/377293746 Hi Xinyi - the mappers (pixmap/flatmap, voxel to fsaverage left, voxel to fsaverage right) are of different lengths because they are stored as sparse arrays. To load them, you can use scipy's csr_matrix class using this set of arguments: csr_array((data, indices, indptr), [shape=(M, N)]). No publisher tianjiao 2023-09-01T17:58:37Z Comment https://crcns.org/forum/using-datasets/468708876/666822074 The vim-2 dataset provided the rois masks in functional image space, however, how to map the roi to the anatomical space to see its functional responses? The size of functional response is 64*64*18, however, anatomical volume has a size of 240*275*240. So the func should co-register to anat. So, the question arosed, how to map each other? I tried to reach for Nishimoto 2011, and the paper only says 'These data were used to fit a separate encoding model for each voxel located in posterior and ventral occipito-temporal visual cortex', without a precise location of each roi in anatomical space.  What should i do to get the location information of each roi in anatomical space?   No publisher RayChow 2025-10-22T16:48:56Z Comment https://crcns.org/forum/using-datasets/976211409/938326811 Dear Fabiano, Thank you for your interest in the dataset. The spike sorting procedure used in this dataset is a semi-automatic spike sorter based on  Lewicki (1994) . Your characterization of very short ISIs in the dataset being "fairly common" is misleading, since while 27 of 31 single units have "short ISIs", only ~0.5% of all ISIs in that dataset is <1 ms. The manual part of the semi-automatic spike sorting procedure involves a curation of the isolated clusters from the automatic part of the spike sorter, and one of the criteria is indeed that single units cannot have a large percentage of short ISIs. We did not remove spikes that have short ISIs from the curated clusters, but please feel free to do so as you use the dataset. Best, Jermyn No publisher szjermyn 2021-10-19T06:37:58Z Comment https://crcns.org/forum/using-datasets/235523857/372063370 i want to convert file  with suffix  .eeg to mat file beacuase i want to analysis data in matlab can you help me? No publisher amin8179 2019-07-09T06:46:37Z Comment https://crcns.org/forum/using-datasets/282816360/932649157 Hi, there!   I extracted roi data from EstimatedResponses.mat. I found there are some unexpected Nan values. for subject1's training data, V1 has 1331 voxel; V2 has 2208 voxel; V4 has 1550 voxel; LO has 928 voxel; the total is 6017. for subject2's training data, V1 has 1513 voxel; V2 has 1982 voxel; V4 has 1022 voxel; LO has 358 voxel; the total is 4875. It is in accordance with a study reported — "If we consider only the main afferent pathway of the ventral stream (V1, V2, V4, and LO) then 1786 of 6017 and 768 of 4875 voxels remained for S1 and S2, respectively." (Guclu, U. , & Van Gerven, M. A. J. . (2015). Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream. The Journal of Neuroence, 35(27).) But there are some NaN values in these data. After voxels which contain NaN values were droped: for subject1's training data, V1 has 1294 voxel; V2 has 2083 voxel; V4 has 1535 voxel; LO has 928 voxel; the total is 5840. for subject2's training data, V1 has 1419 voxel; V2 has 1890 voxel; V4 has 1022 voxel; LO has 358 voxel; the total is 4689. There were many studies used the data. But I didn't remeber any study had reported NaN value existed. So may be there was something wrong with the data? Thank you for your help!       No publisher xuhuawei 2020-11-01T09:14:44Z Comment https://crcns.org/forum/using-datasets/632035609/32488148 Please find the corrected files attached. No publisher eljohnson 2020-10-20T20:05:18Z Comment