A taxonomy of SNN training algorithms is presented with the release of NeuroTrain, an open benchmarking framework for reproducible comparisons across datasets and architectures.
Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type.The Journal of Neuroscience, 18:10464-10472, 1998
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Derives information-maximizing rules for baseline weights and release probabilities in Tsodyks-Markram synapses, producing onset-sensitive presynaptic terms and anti-causal connectivity in recurrent networks.
Open-source configurable LFSR-based stochastic LIF neuron in 130 nm CMOS with bit-exact model, stochastic characterization, and rate-coding sweeps.
Presents four compatible standard-cell IP blocks for PVT sensing, stochastic LIF inference, on-chip STDP, and crossbar control in SkyWater 130 nm, verified in simulation with no silicon results reported.
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NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
A taxonomy of SNN training algorithms is presented with the release of NeuroTrain, an open benchmarking framework for reproducible comparisons across datasets and architectures.