Earlier and more distributed neural networks for bilinguals than monolinguals during switching
Sign Up to like & getrecommendations! Published in 2017 at "Neuropsychologia"
DOI: 10.1016/j.neuropsychologia.2017.09.017
Abstract: Abstract The present study investigated processing differences between young adults who were English monolinguals or English‐French bilinguals on a task‐ and language‐switching paradigm. The mechanisms responsible for task switching and language switching were investigated using… read more here.
Keywords: distributed neural; task switching; language switching; language ... See more keywords
Bandwidth-Efficient Distributed Neural Network Architectures With Application to Neuro-Sensor Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3225019
Abstract: In this paper, we describe a design methodology to design distributed neural network architectures that can perform efficient inference within sensor networks with communication bandwidth constraints. The different sensor channels are distributed across multiple sensor… read more here.
Keywords: neural network; network; methodology; sensor networks ... See more keywords
Learning Distributed Neural Network-Based Beam Codebooks on FPGAs: Adapting to Unevenly Distributed Users in mmWave Massive MIMO IoT System With Hardware Acceleration
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3569551
Abstract: Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) is one of the most promising technologies from 5G-based Internet of Things (IoT) to future wireless communication-based IoT, which usually relies on beamforming codebooks for data transmission. However,… read more here.
Keywords: learning distributed; mmwave massive; massive mimo; distributed neural ... See more keywords
Distributed Neural Adaptive Impedance Control for Cooperative Manipulation With Unknown Objects
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3478215
Abstract: Existing cooperative manipulation methods for multiple manipulator systems usually assume that the grasp matrix and the desired trajectory of each manipulator are known in advance. In this work, distributed neural adaptive impedance control (AIC) strategies… read more here.
Keywords: neural adaptive; adaptive impedance; control; cooperative manipulation ... See more keywords
Distributed Neural Systems Support Flexible Attention Updating during Category Learning
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cognitive Neuroscience"
DOI: 10.1162/jocn_a_01882
Abstract: Abstract To accurately categorize items, humans learn to selectively attend to the stimulus dimensions that are most relevant to the task. Models of category learning describe how attention changes across trials as labeled stimuli are… read more here.
Keywords: support flexible; distributed neural; category learning; attention ... See more keywords
Distributed Neural Processing Predictors of Multi-dimensional Properties of Affect
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2017.00459
Abstract: Recent evidence suggests that emotions have a distributed neural representation, which has significant implications for our understanding of the mechanisms underlying emotion regulation and dysregulation as well as the potential targets available for neuromodulation-based emotion… read more here.
Keywords: processing; distributed neural; valence arousal; valence ... See more keywords