Brain modeling heavily relies on calculus. Focused on differential equations, BrainPy provides an integrative simulation and analysis framework for neurodynamics in computational neuroscience and brain-inspired computation. It provides three core functions:
- General numerical solvers for ODEs and SDEs (future will support DDEs and FDEs).
- Neurodynamics simulation tools for various brain objects, such like neurons, synapses and networks (future will support soma and dendrites).
- Neurodynamics analysis tools for differential equations, including phase plane analysis and bifurcation analysis (future will support continuation analysis and sensitive analysis).
Intuitive tutorials of BrainPy please see our handbook, and comprehensive examples of BrainPy please see BrainModels.
quickstart/installation quickstart/numerical_solvers quickstart/neurodynamics_simulation quickstart/neurodynamics_analysis
tutorials/synaptic_connectivity tutorials/efficient_synaptic_computation tutorials/running_order_scheduling tutorials/monitor tutorials/repeat_mode tutorials/unified_operations
tutorials_advanced/ode_numerical_solvers tutorials_advanced/sde_numerical_solvers tutorials_advanced/how_brainpy_works
apis/analysis apis/integrators apis/connectivity apis/inputs_module apis/changelog
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