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Related Experiment Video

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Tracking neurons across days with high-density probes.

Enny H van Beest1, Célian Bimbard2, Julie M J Fabre3

  • 1UCL Institute of Ophthalmology, University College London, London, UK. e.beest@ucl.ac.uk.

Nature Methods
|September 27, 2024
PubMed
Summary

We developed UnitMatch, a novel pipeline for tracking individual neurons across weeks using their average spike waveforms. This tool reveals stable neural activity patterns and identifies changes during learning, aiding neuroscience research.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience

Background:

  • Neural activity is recorded over various timescales using high-density probes like Neuropixels.
  • Tracking neurons across long-term recordings is challenging due to large data volumes.

Purpose of the Study:

  • To develop a computational tool, UnitMatch, for reliable neuron tracking across multiple recordings.
  • To investigate neural stability and plasticity over weeks using UnitMatch.

Main Methods:

  • UnitMatch pipeline operates post-spike sorting, utilizing average spike waveforms.
  • Tested on Neuropixels recordings from the mouse brain.
  • Analyzed inter-spike interval distributions, neuronal correlations, and stimulus selectivity.

Main Results:

  • UnitMatch successfully tracked neurons across weeks in mouse brain recordings.
  • Neuronal correlations and visual cortex selectivity remained stable over weeks.
  • Striatal neuronal responses showed plasticity, changing across days during task learning.

Conclusions:

  • UnitMatch is an effective tool for long-term neural activity analysis.
  • The study highlights both stability and plasticity in neural representations.
  • Findings provide insights into neural dynamics during learning and over extended periods.