Neural Data Science

Here is the latest research on scientific methods, processes, algorithms, and systems pertaining to the nervous system.

January 16, 2022

Predicting the outputs of finite deep neural networks trained with noisy gradients.

Physical Review. E
Gadi NavehZohar Ringel
January 15, 2022
Open Access

SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies.

Frontiers in Neuroinformatics
Sergio E GalindoLuis Pastor
January 12, 2022
Open Access

KANPHOS: A Database of Kinase-Associated Neural Protein Phosphorylation in the Brain.

Rijwan Uddin AhammadKozo Kaibuchi
January 11, 2022
Open Access

Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques.

Frontiers in Neuroinformatics
Ramon CasanovaPaul J Laurienti
January 11, 2022
Open Access

TReC: Transferred ResNet and CBAM for Detecting Brain Diseases.

Frontiers in Neuroinformatics
Yuteng XiaoYu-Dong Zhang
January 8, 2022

Learning Low-Dimensional Semantics for Music and Language via Multi-Subject fMRI.

Francisco Afonso RaposoRicardo Ribeiro
January 6, 2022

Validation of the Psychological Insight Scale: A new scale to assess psychological insight following a psychedelic experience.

Journal of Psychopharmacology
Joseph M PeillRobin L Carhart-Harris
January 5, 2022

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis.

Cailey I KerleyBennett A Landman
January 3, 2022
Open Access

Co-optimization Learning Network for MRI Segmentation of Ischemic Penumbra Tissues.

Frontiers in Neuroinformatics
Liangliang LiuHui Zhang
December 28, 2021
Open Access

Analyzing Complex Problem Solving by Dynamic Brain Networks.

Frontiers in Neuroinformatics
Abdullah AlchihabiFatos T Yarman Vural
December 21, 2021
Open Access

A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography.

Frontiers in Neuroinformatics
Gurgen SoghoyanMaxim Sharaev
December 21, 2021
Open Access

Providing Evidence for the Null Hypothesis in Functional Magnetic Resonance Imaging Using Group-Level Bayesian Inference.

Frontiers in Neuroinformatics
Ruslan MasharipovMaxim Kireev

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