Version 0.0.1

Initial release of brainpy.state

This is the first release of brainpy.state, which modernizes BrainPy simulator of spiking neural networks with state-based syntax in brainstate.

Features

Neuron Models

• Integrate-and-Fire Neurons

  • IF: Basic integrate-and-fire neuron
  • LIF, LIFRef: Leaky integrate-and-fire neuron (with optional refractory period)
  • ExpIF, ExpIFRef: Exponential integrate-and-fire neuron
  • AdExIF, AdExIFRef: Adaptive exponential integrate-and-fire neuron
  • ALIF: Adaptive leaky integrate-and-fire neuron
  • QuaIF: Quadratic integrate-and-fire neuron
  • AdQuaIF, AdQuaIFRef: Adaptive quadratic integrate-and-fire neuron
  • Gif, GifRef: Generalized integrate-and-fire neuron

• Hodgkin-Huxley Type Neurons

  • HH: Classic Hodgkin-Huxley neuron model
  • MorrisLecar: Morris-Lecar neuron model
  • WangBuzsakiHH: Wang-Buzsaki modified Hodgkin-Huxley model

• Izhikevich Neurons

  • Izhikevich, IzhikevichRef: Izhikevich neuron model (with optional refractory period)

Synapse Models

• Exponential Synapses

  • Expon: Single exponential decay synapse
  • DualExpon: Dual exponential (rise and decay) synapse

• Receptor-based Synapses

  • Alpha: Alpha function synapse
  • AMPA: AMPA receptor synapse
  • GABAa: GABAa receptor synapse
  • BioNMDA: Biological NMDA receptor synapse

• Short-term Plasticity

  • STP: Short-term plasticity (facilitation and depression)
  • STD: Short-term depression

Infrastructure

• Base classes: Neuron, Synapse for building custom models
• Projection utilities for network connectivity
• Synaptic output handlers (COBA, CUBA, MgBlock)
• Input generation utilities (SpikeTime, PoissonSpike)
• Readout layers (Readout, LeakyReadout, WeightedReadout)
• Compatibility check for brainpy version (requires >= 2.7.4 or no brainpy installed)

Dependencies

• Python >= 3.10
• brainstate >= 0.2.0
• brainunit
• brainevent >= 0.0.4
• braintools >= 0.0.9
• jax
• numpy >= 1.15