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COMPUTATIONAL NEUROSCIENCE FOR ADVANCING ARTIFICIAL INTELLIGENCE
Published 2011-01-01Get full text
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EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification
Published 2025-01-01“…Frontiers in Computational Neuroscience…”
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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection
Published 2025-01-01“…Frontiers in Computational Neuroscience…”
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MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks
Published 2025-01-01“…Frontiers in Computational Neuroscience…”
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Editorial: Computer vision and image synthesis for neurological applications
Published 2025-02-01“…Frontiers in Computational Neuroscience…”
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Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach
Published 2025-01-01“…Frontiers in Computational Neuroscience…”
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Neuroimaging stratification reveals the striatal vulnerability to stress as a risk for schizophrenia
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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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Verbal Encoding Strategies in Visuo-Spatial Working Memory
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The effect of positive interspike interval correlations on neuronal information transmission
Published 2015-12-01Get full text
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Editorial: Artificial intelligence applications for cancer diagnosis in radiology
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From Bench to Brain: A Metadata-driven Approach to Research Data Management in a Collaborative Neuroscientific Research Center
Published 2025-01-01“…The practice paper outlines the approach of the interdisciplinary Collaborative Research Center (CRC) 1280 ‘Extinction Learning’ with 81 researchers from biology, psychology, medicine, and computational neuroscience across four different institutions. …”
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Investigating the intrinsic top-down dynamics of deep generative models
Published 2025-01-01“…This capability can be linked to current theories in computational neuroscience, which propose that spontaneous brain activity at rest is the manifestation of top-down dynamics of generative models detached from action-perception cycles. …”
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