Brain simulation with point neuron models

Point neuron networks let us approximate large spiking circuits while keeping every cell to a single dynamic compartment. This page explains how the notebooks in this section assemble morphology-free neurons into reproducible experiments that scale from microcircuits to whole-brain studies.

English version

The following notebooks provide hands-on guides:

• brainstate_drosophila_wholebrain_simulation.ipynb: assembles a drosophila-wide connectome, demonstrates balanced excitation/inhibition tuning, and benchmarks runtime scaling.

• brainstate_spiking_gamma_oscillations.ipynb: reproduces cortical gamma oscillations with point neurons, including stimulus-evoked modulation analyses.

• braincell_HH_thalamus_oscillations.ipynb: demonstrates Hodgkin-Huxley-inspired point neurons in a thalamic loop, highlighting rebound bursting control.

• Simulating whole-brain Drosophila spiking model with brainstate
• Simulating asynchronous or Gamma oscillations using AdEx neurons in brainpy.state
• Simulating a Hodgkin-Huxley Type Thalamic Network with braincell

中文版本

• 使用 braincell 对 Hodgkin-Huxley 型丘脑网络进行仿真