Baptiste Grimaud

Results 20 issues of Baptiste Grimaud

I noticed a few things while comparing the newer detection method with the older one : - Running both with the same parameters on the same data, pre-processed with SI...

Hi, I'm trying to simulate data from in vitro neuronal cultures growing on a CMOS-based HD-MEA, specifically the 3Brain Accura chips. I understand that this might be a bit beyond...

Grid plots fail on `matplotlib` 3.9.2 with the following trace : ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[17], line 1 ----> 1 mr.plot_waveforms(recgen, electrode='max', cmap='rainbow') File ~/Documents/GitHub/MEArec/src/MEArec/tools.py:3339,...

When looking into the coordinates of individual spikes for a given cluster, I noticed that when plotted the coordinates all fit into a cross pattern. That is, a lot of...

Recently, support for BioCAM's event-based compression was [added to neo](https://github.com/NeuralEnsemble/python-neo/pull/1446). It requires the user to decide between filling the gaps in recordings with zeros or artificial noise, specified by `fill_gaps_strategy`...

extractors

I'm trying to run SC2 on 3Brain HD-MEA data (4096 channels, 20 kHz) with mostly default parameters : ``` p = { 'apply_motion_correction': False, 'apply_preprocessing': True, 'cache_preprocessing': {'delete_cache': True, 'memory_limit':...

sorters

It seems there already was some attempt to extract the additional info with `load_unit_info` a while ago. For now, this PR can extract the location of a unit with `get_unit_location`,...

extractors

As request, moving this over from discussions. This was discussed a bit more in #3722 : computing PCA metrics on analyzers with a lot of units and a lof of...

concurrency

Sorry to bring this up again, as I'm pretty sure this is only an issue on recordings with a few thousands of units. I did not keep up with new...

sorters

The params dictionary for TdC2 lists the clustering params under the `clustering` sub-dictionary. ``` sorter_params = { ... "clustering": { "recursive_depth": 5, "split_radius_um": 40.0, "clusterer": "isosplit", "clusterer_kwargs": { "n_init": 50,...

sorters