A taxonomy of SNN training algorithms is presented with the release of NeuroTrain, an open benchmarking framework for reproducible comparisons across datasets and architectures.
Exploring neuronal leakage for spiking neural networks on event-driven hardware
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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.
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An Open-Source LFSR-Based Stochastic Leaky Integrate-and-Fire Neuron in SkyWater 130 nm: Design, Stochastic Characterisation, and Rate Coding
Open-source configurable LFSR-based stochastic LIF neuron in 130 nm CMOS with bit-exact model, stochastic characterization, and rate-coding sweeps.
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Design and Development of a Neuromorphic Silicon Suite: PVT Sensing, Stochastic LIF Inference, On-Chip STDP Learning, and Crossbar Programming
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.