PCL+ spiking network learns recurrent connections with delays via STDP to retain recent visual inputs and predict future ones, reproducing cortical sequence learning and filling missing data in gesture recognition.
Real-time computing without stable states: A new framework for neural computation based on perturbations
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The paper classifies memory mechanisms in integrated photonic systems and their support for neuromorphic architectures in time-dependent signal processing tasks.
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Predictive Coding Light+: learning to predict visual sequences with spike timing-dependent plasticity and synaptic delays
PCL+ spiking network learns recurrent connections with delays via STDP to retain recent visual inputs and predict future ones, reproducing cortical sequence learning and filling missing data in gesture recognition.
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Memory in Integrated Photonic Neural Networks: From Physical Mechanisms to Neuromorphic Architectures
The paper classifies memory mechanisms in integrated photonic systems and their support for neuromorphic architectures in time-dependent signal processing tasks.