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neuronal

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MorphoLogic extracts comprehensive neuronal morphometrics from 2D SWC reconstructions and can perform morphology-aware mapping to project concurrent microscopy signals or (synaptic) puncta onto reconstructed neurons. Outputs include per-cell diagnostic visualizations and per-dataset aggregated CSV tables spanning multilevel summaries.

  • Updated Apr 23, 2026
  • Python

OpenCL-based neuronal network simulator. Incorporates synaptic plasticity based on event-based implementation of Graupner-Brunel algorithm. Neurons are encoded as leaky integrate-and-fire (LIF). Synapses are current based and are available as both direct delta-currents and a difference-of-exponentials.

  • Updated Mar 2, 2020
  • C

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