Neural decoding on imbalanced calcium imaging data with a network of support vector machines
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Robotics"
DOI: 10.1080/01691864.2020.1863259
Abstract: We present a novel neural decoding system for calcium imaging data. Miniature calcium imaging is of great utility for examining population neural activity of animals. Our neural decoding system is developed using a carefully designed… read more here.
Keywords: neural decoding; imaging data; system; support vector ... See more keywords
Neural decoding of semantic concepts: a systematic literature review
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac619a
Abstract: Objective. Semantic concepts are coherent entities within our minds. They underpin our thought processes and are a part of the basis for our understanding of the world. Modern neuroscience research is increasingly exploring how individual… read more here.
Keywords: review; decoding semantic; semantic concepts; neural decoding ... See more keywords
Deep learning for neural decoding in motor cortex
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac8fb5
Abstract: Objective. Neural decoding is an important tool in neural engineering and neural data analysis. Of various machine learning algorithms adopted for neural decoding, the recently introduced deep learning is promising to excel. Therefore, we sought… read more here.
Keywords: network; movement; decoding scheme; neural decoding ... See more keywords
On-FPGA Spiking Neural Networks for End-to-End Neural Decoding
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3269598
Abstract: In the last decades, deep learning neural decoding algorithms have gained momentum in the field of neural interfaces and neural processing systems. However, to be deployed on low-budget portable devices while maintaining real-time operability, these… read more here.
Keywords: end end; neural networks; networks end; fpga spiking ... See more keywords
Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3207519
Abstract: Functional magnetic resonance imaging (fMRI) is a methodology for measuring human brain activities. It has become more and more popular in neural decoding due to its noninvasive. Neural decoding aims to establishing models to reconstruct… read more here.
Keywords: multi scale; brain; brain networks; spatial logical ... See more keywords
Selective CS: An Energy-Efficient Sensing Architecture for Wireless Implantable Neural Decoding
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2018.2809906
Abstract: The spike classification is a critical step in the implantable neural decoding. The energy efficiency issue in the sensor node is a big challenge for the entire system. Compressive sensing (CS) theory provides a potential… read more here.
Keywords: neural decoding; implantable neural; energy efficient; energy ... See more keywords
Neural Decoding With Optimization of Node Activations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3197974
Abstract: The problem of maximum likelihood decoding with a neural decoder for error-correcting code is considered. It is shown that the neural decoder can be improved with two novel loss terms on the node’s activations. The… read more here.
Keywords: node; decoder; decoding optimization; optimization node ... See more keywords
Concurrent and Continuous Prediction of Finger Kinetics and Kinematics via Motoneuron Activities
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3232067
Abstract: Objective: Robust neural decoding of intended motor output is crucial to enable intuitive control of assistive devices, such as robotic hands, to perform daily tasks. Few existing neural decoders can predict kinetic and kinematic variables… read more here.
Keywords: finger; kinematics; motoneuron; prediction ... See more keywords
Classification of Electronic Devices and Software Processes via Unintentional Electronic Emissions With Neural Decoding Algorithms
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Electromagnetic Compatibility"
DOI: 10.1109/temc.2019.2903232
Abstract: Electronic and electromechanical devices continuously emit electromagnetic (EM) signals while in use. These EM emissions (EMEs) contain unique spectral characteristics that can be leveraged for a variety of purposes, including identification of the device's unique… read more here.
Keywords: software processes; classification electronic; neural decoding; software ... See more keywords
A parameter-optimization framework for neural decoding systems
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2023.938689
Abstract: Real-time neuron detection and neural activity extraction are critical components of real-time neural decoding. They are modeled effectively in dataflow graphs. However, these graphs and the components within them in general have many parameters, including… read more here.
Keywords: time; neural decoding; parameter optimization; optimization framework ... See more keywords
Phase-amplitude coupling-based adaptive filters for neural signal decoding
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1153568
Abstract: Bandpass filters play a core role in ECoG signal processing. Commonly used frequency bands such as alpha, beta, and gamma bands can reflect the normal rhythm of the brain. However, the universally predefined bands might… read more here.
Keywords: phase amplitude; frequency; frequency bands; neural decoding ... See more keywords