Spectro-Temporal Modulations Incorporated Two-Stream Robust Speech Emotion Recognition

Information Science, Computer Science, Artificial Intelligence,
speech emotion recognition   spectro-temporal modulation features   robustness   deep learning   noisy environment  

Research on Two-Stream Robust Speech Emotion Recognition Based on Spectro-Temporal Modulation Features Academic Background Speech Emotion Recognition (SER) is a technology that identifies emotions by analyzing the emotional content in human speech. It has broad application potential in areas such as human-computer interaction, customer service mana...

Latent Circuit Inference from Heterogeneous Neural Responses during Cognitive Tasks

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
cognitive tasks   heterogeneous neural responses   latent circuit   dimensionality reduction   prefrontal cortex  

Inferring Latent Neural Circuits from Heterogeneous Neural Responses During Cognitive Tasks Academic Background In cognitive tasks, higher cortical areas of the brain (such as the prefrontal cortex, PFC) are responsible for integrating a variety of sensory, cognitive, and motor signals. However, the responses of individual neurons often exhibit com...

Dynamical Constraints on Neural Population Activity

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
neural dynamics   brain networks   computational mechanisms   time evolution   motor control   sensory perception   decision making  

Temporal Dynamics Constraints on Neural Population Activity: Computational Mechanisms of Neural Activity Revealed by Brain-Computer Interfaces Academic Background How neural activity in the brain evolves over time is a central issue in understanding sensory, motor, and cognitive functions. For a long time, network models have posited that the brain...

Neural Mechanisms of Relational Learning and Fast Knowledge Reassembly in Plastic Neural Networks

Information Science, Computer Science, Artificial Intelligence, Medicine, Life Sciences,
relational learning   neural mechanisms   knowledge reassembly   plastic neural networks   transitive inference  

Neural Mechanisms and Relational Learning: Rapid Knowledge Reassembly in Neural Networks Background Humans and animals possess a remarkable ability to learn relationships between items in experience (such as stimuli, objects, and events), enabling structured generalization and rapid information assimilation. A fundamental type of such relational le...

Interdisciplinary Advances in Microcombs: Bridging Physics and Information Technology

Physics, Optics, Quantum Physics, Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Semiconductors and Information Devices,
microcombs   optical frequency combs   information science   quantum optics   optical communications  

Interdisciplinary Advances in Microcomb Technology: Bridging Physics and Information Technology Academic Background The optical frequency comb (OFC) is a technology that divides the optical frequency domain into a series of discrete, equally spaced frequency lines. It has been widely used in precision measurements, optical communications, atomic cl...

A Spatial-Frequency Patching Metasurface Enabling Super-Capacity Perfect Vector Vortex Beams

Physics, Optics, Chemistry, Nanoscience, Materials Science, Information Science, Electronic Information,
optical vortices   metasurfaces   vector vortex beams   spatial-frequency patching   multi-dimensional information communication  

The Realization of Super-Capacity Perfect Vector Vortex Beams Research Background and Problem Statement Optical vortices, with their unique orbital angular momentum (OAM) characteristics, have demonstrated great potential in applications such as optical multiplexing, particle manipulation, imaging, holographic display, optical communication, and op...