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Found 4 papers, 0 papers with code
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.
Low Power Neuromorphic EMG Gesture Classification
In this work, we address the aforementioned gaps with following key contributions: (1) Low-power, high accuracy demonstration of EMG-signal based gesture recognition using neuromorphic Recurrent Spiking Neural Networks (RSNN).
Multi-Class Classification of Blood Cells -- End to End Computer Vision based diagnosis case study
Automated medical image processing and analysis offers a powerful tool for medical diagnosis.
Efficient Video Summarization Framework using EEG and Eye-tracking Signals
Therefore, the proposed paper considers human's role in summarization and introduces human visual attention-based summarization techniques.
