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NeuroCarto: A Toolkit for Building Custom Read-out Channel Maps for High Electrode-count Neural Probes.

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Summary

NeuroCarto simplifies creating custom channel maps for Neuropixels probes, enabling researchers to select optimal electrode subsets for neural recordings in freely behaving animals.

Keywords:
Graphical user interface (GUI)Neuropixels probesOpen Source Software (OSS)Python (programming language)

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Bioengineering

Background:

  • Neuropixels probes offer high-density neural recordings in small animals.
  • Hardware limitations necessitate selecting specific electrode subsets (channel maps) for data acquisition.
  • Custom channel map creation is challenging due to electrode density and hardware constraints.

Purpose of the Study:

  • To introduce NeuroCarto, a Python toolkit and GUI for designing custom Neuropixels probe channel maps.
  • To provide a streamlined workflow for selecting electrodes based on brain regions and desired density.
  • To facilitate simultaneous recordings from multiple brain regions with Neuropixels probes.

Main Methods:

  • Developed NeuroCarto, a Python toolkit with a graphical user interface (GUI).
  • Implemented an iterative approach for electrode selection based on user-defined blueprints.
  • Integrated visualization of potential channel conflicts and hardware limitations.

Main Results:

  • NeuroCarto successfully generates custom channel maps for Neuropixels probes.
  • The tool assists in specifying regions of interest and local electrode density.
  • Demonstrated utility in simultaneous dorsal and ventral hippocampus recordings using 4-shank Neuropixels 2.0 probes.

Conclusions:

  • NeuroCarto simplifies the complex process of Neuropixels probe channel map design.
  • The toolkit enhances experimental flexibility for neural recording in freely moving mice.
  • Facilitates efficient and targeted neural data acquisition from specific brain regions.