Part of the Computational Neuroscience Commons

Works in Computational Neuroscience

2024

Elucidating Neuroinflammation in Multiple Sclerosis by Network Analysis, Nora C. Welsh
Dartmouth College Ph.D Dissertations

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2023

DNA METHYLATION-BASED EPIGENETIC BIOMARKERS IN CELL-TYPE DECONVOLUTION AND TUMOR TISSUE OF ORIGIN IDENTIFICATION, Ze Zhang
Dartmouth College Ph.D Dissertations

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Self-Supervised Pretraining and Transfer Learning on fMRI Data with Transformers, Sean Paulsen
Dartmouth College Ph.D Dissertations

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Unraveling the neural basis of emotions: Advancing understanding with ecologically valid paradigms and high-resolution intracranial EEG, Tiankang Xie
Dartmouth College Ph.D Dissertations

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Accelerated Forgetting in People with Epilepsy: Pathologic Memory Loss, Its Neural Basis, and Potential Therapies, Sarah Ashley Steimel PhD
Dartmouth College Ph.D Dissertations

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2022

BEYOND HOMOGENOUS DECISION-MAKING MODELS: ROLE OF BRAIN AREAS INTERACTION AND HETEROGENEITY, Mohsen Rakhshan
Dartmouth College Ph.D Dissertations

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2021

NMDA Receptors Enhance the Fidelity of Synaptic Integration, Chenguang Li, Allan Gulledge
Dartmouth Scholarship

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2016

The Brain Imaging Data Structure, a Format for Organizing and Describing Outputs of Neuroimaging Experiments, Krzysztof Gorgolewski, Tibor Auer, Vince Calhoun, R Cameron Craddock, Samir Das, Eugene Duff, Guillaume Flandin, Tristan Glatard, Yaroslav Halchenko
Dartmouth Scholarship

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A Normalized Contrast-Encoding Model Exhibits Bright/Dark Asymmetries Similar to Early Visual Neurons, Emily A. Cooper
Dartmouth Scholarship

Neuron Morphology Influences Axon Initial Segment Plasticity, Allan T. Gulledge, Jaime J. Bravo
Dartmouth Scholarship

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2015

Modeling Neurovascular Coupling from Clustered Parameter Sets for Multimodal EEG-NIRS, M. Tanveer Talukdar, H. Robert Frost, Solomon G. G. Diamond
Dartmouth Scholarship

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2012

Derivation of a Novel Efficient Supervised Learning Algorithm from Cortical-Subcortical Loops, Ashok Chandrashekar, Richard Granger
Dartmouth Scholarship

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