Recent advances in neuroscience are reshaping our understanding of how synaptic repair and circuit remodeling can impact neurological health. Despite ...
This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.
A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...
New research demonstrates that electroacupuncture can significantly alleviate pain-induced anxiety- and depression-like behaviors by modulating specific excitatory neurons in the brain. Using a mouse ...
Abstract: The presence of sparse samples poses a formidable challenge for neural networks (NNs) in shaping representative patterns due to the limited coverage of concentrative activation range in NNs.
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Abstract: In this work, a chaotic neural network model for epilepsy is studied. The network is modeled as a discrete map, consisting of two layers, in which the presence of chaos denotes healthy ...
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