GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism
With the increasing demand for deep learning in the last few years, CNNs have been widely used in many applications and have gained interest in classification, regression, and image recognition tasks. The training of these deep neural networks is compute-intensive and takes days or even weeks to train the model from scratch. The compute-intensive nature of these deep neural networks sometimes limits the practical implementation of CNNs in real-time applications. Therefore, the computational...
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With the increasing demand for deep learning in the last few years, CNNs have been widely used in many applications and have gained interest in classification, regression, and image recognition tasks. The training of these deep neural networks is compute-intensive and takes days or even weeks to train the model from scratch. The compute-intensive nature of these deep neural networks sometimes limits the practical implementation of CNNs in real-time applications. Therefore, the computational...
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Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies
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Dynamic control of eye-head gaze shifts by a spiking neural network model of the superior colliculus
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Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks
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Outer-synchronization criterions for asymmetric recurrent time-varying neural networks described by differential-algebraic system <em>via</em> data-sampling principles
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A theoretical model reveals specialized synaptic depressions and temporal frequency tuning in retinal parallel channels
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BIAS-3D: Brain inspired attentional search model fashioned after what and where/how pathways for target search in 3D environment
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Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification
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Production of adaptive movement patterns <em>via</em> an insect inspired spiking neural network central pattern generator
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Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study
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Integrating ankle and hip strategies for the stabilization of upright standing: An intermittent control model
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Integrated world modeling theory expanded: Implications for the future of consciousness
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An interpretable approach for automatic aesthetic assessment of remote sensing images
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Biases in BCI experiments: Do we really need to balance stimulus properties across categories?
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An efficient computer vision-based approach for acute lymphoblastic leukemia prediction
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Mathematical processing of trading strategy based on long short-term memory neural network model
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Disrupted visual input unveils the computational details of artificial neural networks for face perception
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Quasicriticality explains variability of human neural dynamics across life span
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