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      <title>Self-Hosted EEG &amp; MEG Neuroimaging Processing: MNE-Python vs FieldTrip vs EEGLAB Guide</title>
      <link>https://www.pistack.xyz/posts/2026-06-10-self-hosted-eeg-meg-neuroimaging-mne-python-fieldtrip-eeglab-guide/</link>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;Electroencephalography (EEG) and magnetoencephalography (MEG) are the workhorses of non-invasive brain research, capturing neural activity with millisecond temporal resolution. From clinical epilepsy monitoring to brain-computer interfaces, these modalities generate rich time-series data that require sophisticated processing pipelines. While commercial packages like Curry and BrainVision Analyzer offer polished interfaces, the open-source neuroimaging ecosystem provides tools with greater flexibility, reproducibility, and no licensing costs.&lt;/p&gt;</description>
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      <title>Self-Hosted Neural Spike Sorting Tools: SpikeInterface vs Kilosort vs Phy</title>
      <link>https://www.pistack.xyz/posts/2026-06-10-self-hosted-neural-spike-sorting-spikeinterface-kilosort-phy/</link>
      <pubDate>Wed, 10 Jun 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;Understanding how the brain processes information requires recording the activity of individual neurons. Modern high-density neural probes like Neuropixels can simultaneously record from hundreds to thousands of neurons, producing terabytes of raw electrophysiology data per experiment. The computational challenge lies in &lt;strong&gt;spike sorting&lt;/strong&gt; — the process of separating the combined electrical signals into spike trains belonging to individual neurons.&lt;/p&gt;</description>
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