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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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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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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Adapting hippocampus multi-scale place field distributions in cluttered environments optimizes spatial navigation and learning
Extensive studies in rodents show that place cells in the hippocampus have firing patterns that are highly correlated with the animal's location in the environment and are organized in layers of increasing field sizes or scales along its dorsoventral axis. In this study, we use a spatial cognition model to show that different field sizes could be exploited to adapt the place cell representation to different environments according to their size and complexity. Specifically, we provide an in-depth...
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Extensive studies in rodents show that place cells in the hippocampus have firing patterns that are highly correlated with the animal's location in the environment and are organized in layers of increasing field sizes or scales along its dorsoventral axis. In this study, we use a spatial cognition model to show that different field sizes could be exploited to adapt the place cell representation to different environments according to their size and complexity. Specifically, we provide an in-depth...
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Emergence of radial orientation selectivity: Effect of cell density changes and eccentricity in a layered network
We establish a simple mechanism by which radially oriented simple cells can emerge in the primary visual cortex. In 1986, R. Linsker. proposed a means by which radially symmetric, spatial opponent cells can evolve, driven entirely by noise, from structure in the initial synaptic connectivity distribution. We provide an analytical derivation of Linsker's results, and further show that radial eigenfunctions can be expressed as a weighted sum of degenerate Cartesian eigenfunctions, and vice-versa....
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We establish a simple mechanism by which radially oriented simple cells can emerge in the primary visual cortex. In 1986, R. Linsker. proposed a means by which radially symmetric, spatial opponent cells can evolve, driven entirely by noise, from structure in the initial synaptic connectivity distribution. We provide an analytical derivation of Linsker's results, and further show that radial eigenfunctions can be expressed as a weighted sum of degenerate Cartesian eigenfunctions, and vice-versa....
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