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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Bayesian continual learning <em>via</em> spiking neural networks

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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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Active inference, morphogenesis, and computational psychiatry

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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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Classification of dry and wet macular degeneration based on the ConvNeXT model

CONCLUSION: The ConvNeXT-based category model for dry and wet macular degeneration automatically identified dry and wet macular degeneration, aiding rapid, and accurate clinical diagnosis.
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