Eventax enables exact-gradient training of arbitrary ODE-defined spiking neuron models in JAX via differentiable ODE solvers integrated with event detection.
Loss shaping enhances exact gradient learning with eventprop in spiking neural networks
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QIF neurons outperform LIF neurons in spike-based gradient descent training of spiking neural networks by avoiding discontinuities that fragment the loss landscape.
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Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX
Eventax enables exact-gradient training of arbitrary ODE-defined spiking neuron models in JAX via differentiable ODE solvers integrated with event detection.