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Federico Corradi

On the Optimality of Single-label and Multi-label Neural Network Decoders

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Mar 24, 2025
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STEM: Spatial-Temporal Mapping Tool For Spiking Neural Networks

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Feb 05, 2025
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Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators

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Jan 23, 2025
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Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs

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Jan 07, 2025
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Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks

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Dec 20, 2024
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On the Design and Performance of Machine Learning Based Error Correcting Decoders

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Oct 21, 2024
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Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks

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Apr 30, 2024
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Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors

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Apr 16, 2024
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NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

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Apr 15, 2023
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Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

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Dec 20, 2021
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