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…ndling and add new properties
…ndling and add new properties
This commit implements state versions of several neuron and synapse models using the brainstate framework, following BrainPy v2.7+ architecture. Neuron Models Added: - LIF (Leaky Integrate-and-Fire) neurons with multiple variants: * LIF: Basic LIF neuron with exponential synaptic input * LifRef: LIF with refractory period * ExpIF: Exponential Integrate-and-Fire * ExpIFRef: ExpIF with refractory period * AdExIF: Adaptive Exponential Integrate-and-Fire * AdExIFRef: AdExIF with refractory period * QuaIF: Quadratic Integrate-and-Fire * QuaIFRef: QuaIF with refractory period * AdQuaIF: Adaptive Quadratic Integrate-and-Fire * AdQuaIFRef: AdQuaIF with refractory period * GifRef: Generalized Integrate-and-Fire with refractory - Izhikevich neuron model with variants: * Izhikevich: Basic Izhikevich neuron * IzhikevichRef: With refractory period - Hodgkin-Huxley (HH) neuron model: * HH: Classic Hodgkin-Huxley model with Na+ and K+ channels Synapse Models Added: - BioNMDA: Biological NMDA receptor with second-order kinetics * Implements two-state cascade dynamics (x and g variables) * Slower rise time compared to AMPA (biologically realistic) * Comprehensive documentation with mathematical formulation Testing: - Comprehensive test suites added for all models - AMPA and GABAa synapse tests added - All tests passing with proper unit handling Key Features: - Uses brainstate ecosystem (HiddenState, ShortTermState, LongTermState) - Proper unit support with brainunit - Exponential Euler integration for numerical stability - Batch processing support - Consistent API design across all models Files Modified: - brainpy/state/_lif.py: Added LIF variants - brainpy/state/_izhikevich.py: Added Izhikevich variants (new file) - brainpy/state/_hh.py: Added HH model (new file) - brainpy/state/_synapse.py: Added BioNMDA model - brainpy/state/_synapse_test.py: Added comprehensive tests - brainpy/state/_lif_test.py: Added LIF tests - brainpy/state/__init__.py: Updated exports - brainpy/dyn/neurons/lif.py: Minor documentation updates
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932179209
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Added comprehensive Examples sections to 5 neuron classes that were missing them: - QuaIF: Quadratic Integrate-and-Fire neuron - AdQuaIF: Adaptive Quadratic Integrate-and-Fire neuron - AdQuaIFRef: AdQuaIF with refractory period - Gif: Generalized Integrate-and-Fire neuron - GifRef: Gif with refractory period Each Examples section includes: - Import statements for required modules - Basic usage with parameter specifications - State initialization examples - Update and spike generation examples - Network integration with brainstate.nn.Sequential - Additional Notes highlighting key features All 13 neuron classes in _lif.py now have complete documentation with Examples sections following consistent format and style.
chaoming0625
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Oct 13, 2025
…c counterparts for clarity
… brainpy for consistency
…brainpy.state for consistency
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