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DeepReducer: A linear transformer-based model for MEG denoising
Published 2025-03-01“…Measuring event-related magnetic fields (ERFs) in magnetoencephalography (MEG) is crucial for investigating perceptual and cognitive information processing in both neuroscience research and clinical practice. However, the magnitude of the ERF in cortical sources is comparable to the noise in a single trial. …”
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1902
Preface
Published 2013-08-01“…This Special Issue of Mathematical Biosciences and Engineeringcontains ten selected papers presented at the Neural Coding 2012workshop. Neuroscience is traditionally very close to mathematicswhich stems from the famous theoretical work of McCulloch--Pitts andHodgkin--Huxley in the middle of the previous century. …”
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1903
Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings
Published 2025-01-01“…Abstract Intracellular electrophysiology is essential in neuroscience, cardiology, and pharmacology for studying cells’ electrical properties. …”
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1904
LSVT LOUD and LSVT BIG: Behavioral Treatment Programs for Speech and Body Movement in Parkinson Disease
Published 2012-01-01“…Recent advances in neuroscience have suggested that exercise-based behavioral treatments may improve function and possibly slow progression of motor symptoms in individuals with Parkinson disease (PD). …”
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1905
Body Percussion: Active and inclusive teaching oriented to disciplinary knowledge and transversal skills
Published 2025-01-01“…Moreover, the point of view of neuroscience has further strengthened the integration of dualism mind-body according to the unifying perspective of corporeity; in this sense, some research evidence has in fact shown that you learn first and better through the body and movement, as well as through the experience and intentionality that guide the learning itself. …”
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1906
Robotic Vision with the Conformal Camera: Modeling Perisaccadic Perception
Published 2010-01-01“…Here, the related neuroscience background is presented, effectiveness of the conformal camera's non-Euclidean geometry in intermediate-level vision is discussed, and the algorithmic steps in modeling perisaccadic perception with PFT are proposed. …”
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1907
Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions
Published 2024-12-01“…Addressing these limitations through enhanced interpretability, optimized multimodal techniques, and expanded labeled datasets is crucial to fully harness the potential of GNNs for neuroscience research and clinical applications.…”
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Intervention Models in Functional Connectivity Identification Applied to fMRI
Published 2006-01-01“…Recent advances in neuroimaging techniques have provided precise spatial localization of brain activation applied in several neuroscience subareas. The development of functional magnetic resonance imaging (fMRI), based on the BOLD signal, is one of the most popular techniques related to the detection of neuronal activation. …”
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1909
Neural plasticity in early potters: Shape analysis and TMS-EEG co-registration trace the rise of a new motor skill.
Published 2025-01-01“…Archaeological methods were integrated with neuroscience techniques to explore the impact on neuroplasticity resulting from the introduction of early pottery techniques. …”
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1910
Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks
Published 2016-01-01“…A key limitation of human neuroscience is the difficulty in isolating neuronal excitation/inhibition drive in vivo. …”
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1911
Stationarity assessment of resting state condition via permutation entropy on EEG recordings
Published 2025-01-01“…Abstract The analysis of electrophysiological recordings of the human brain in resting state is a key experimental technique in neuroscience. Resting state is the default condition to characterize brain dynamics. …”
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1912
Studying Cortical Plasticity in Ophthalmic and Neurological Disorders: From Stimulus-Driven to Cortical Circuitry Modeling Approaches
Published 2019-01-01“…Unsolved questions in computational visual neuroscience research are whether and how neurons and their connecting cortical networks can adapt when normal vision is compromised by a neurodevelopmental disorder or damage to the visual system. …”
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1913
EEG Transformer for Classifying Students’ Epistemic Cognition States in Educational Contexts
Published 2025-01-01“…Grounded in the Learning Sciences, which emphasize an interdisciplinary and scientific approach to understanding human learning, this applied research demonstrates the transformative potential of integrating artificial intelligence with education and neuroscience to generate actionable insights into educational practices.…”
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1914
Intravitreal Therapy for Diabetic Macular Edema: An Update
Published 2021-01-01Get full text
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Transcranial Direct Current Stimulation (tDCS) in Unilateral Cerebral Palsy: A Pilot Study of Motor Effect
Published 2019-01-01Get full text
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IGF-1 Restores Visual Cortex Plasticity in Adult Life by Reducing Local GABA Levels
Published 2012-01-01Get full text
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