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Analysis of argument structure constructions in the large language model BERT
Published 2025-01-01“…Understanding how language and linguistic constructions are processed in the brain is a fundamental question in cognitive computational neuroscience. In this study, we investigate the processing and representation of Argument Structure Constructions (ASCs) in the BERT language model, extending previous analyses conducted with Long Short-Term Memory (LSTM) networks. …”
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Effects of Alzheimer’s disease plasma marker levels on multilayer centrality in healthy individuals
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Verbal Encoding Strategies in Visuo-Spatial Working Memory
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Cerebellar-driven cortical dynamics can enable task acquisition, switching and consolidation
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Three-dimensional architecture and linearized mapping of vibrissa follicle afferents
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The effect of positive interspike interval correlations on neuronal information transmission
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Task relevant autoencoding enhances machine learning for human neuroscience
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Intracortical microstimulation of human somatosensory cortex induces natural perceptual biases
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The NeuroML ecosystem for standardized multi-scale modeling in neuroscience
Published 2025-01-01“…NeuroML, a model description language for computational neuroscience, was developed to address this fragmentation in modeling tools. …”
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A brain machine interface framework for exploring proactive control of smart environments
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Editorial: Artificial intelligence applications for cancer diagnosis in radiology
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Numerical algorithms based on splines for singularly perturbed parabolic partial differential equations with mixed shifts
Published 2024-12-01“…Abstract In this paper, we discuss singularly perturbed time-dependent convection–diffusion problems that arise in computational neuroscience. Specifically, we provide approaches for one-dimensional singularly perturbed parabolic partial differential difference equations (SPPPDDEs) with mixed shifts in the spatial variable using fitted operator spline in compression and adaptive spline. …”
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