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Found 5 papers, 1 papers with code
Multimodal Stress Detection Using Facial Landmarks and Biometric Signals
This paper proposes a multi-modal learning approach for stress detection that integrates facial landmarks and biometric signals.
Hierarchical Predictive Coding Models in a Deep-Learning Framework
Predictive coding models intended to describe computations in the neocortex emerged prior to the development of deep learning and used a communication structure between modules that we name the Rao-Ballard protocol.
Deep Quaternion Networks
The field of deep learning has seen significant advancement in recent years.
Representation Learning using Event-based STDP
Although representation learning methods developed within the framework of traditional neural networks are relatively mature, developing a spiking representation model remains a challenging problem.
Bio-Inspired Multi-Layer Spiking Neural Network Extracts Discriminative Features from Speech Signals
This paper develops a bio-inspired SNN that uses unsupervised learning to extract discriminative features from speech signals, which can subsequently be used in a classifier.
