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Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm
In this study, we propose the first hardware implementation of a context-based recurrent spiking neural network (RSNN) emphasizing on integrating dual information streams within the neocortical pyramidal neurons specifically Context- Dependent Leaky Integrate and Fire (CLIF) neuron models, essential element in RSNN.
Topic-to-essay generation with knowledge-based content selection
The topic-to-essay generation task is a challenging natural language generation task that aims to generate paragraph-level text with high semantic coherence based on a given set of topic words.
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
Besides, there is neither a comprehensive review nor guidance for constructing GNNs in EEG-based emotion recognition.
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