Neuroinformatics View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

2002

PUBLISHER

Springer US

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/12021

Recent publications latest 20 shown

  • 2019-04-10 NengoDL: Combining Deep Learning and Neuromorphic Modelling Methods.
  • 2019-04-02 Fallacies of Mice Experiments
  • 2019-03-27 Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging
  • 2019-03-22 Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics
  • 2019-03-15 Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning
  • 2019-02-09 Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment
  • 2019-01-16 Handling Multiplicity in Neuroimaging Through Bayesian Lenses with Multilevel Modeling
  • 2019-01-11 Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites
  • 2019-01-02 Stochastic Rank Aggregation for the Identification of Functional Neuromarkers
  • 2019-01 QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis
  • 2019-01 Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large Databases
  • 2019-01 New Features for Neuron Classification
  • 2019-01 Towards Differential Connectomics with NeuroVIISAS
  • 2019-01 The Decision Decoding ToolBOX (DDTBOX) – A Multivariate Pattern Analysis Toolbox for Event-Related Potentials
  • 2019-01 Morphological Neuron Classification Based on Dendritic Tree Hierarchy
  • 2019-01 A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain
  • 2019-01 What Is Old Is New Again: Investigating and Analyzing the Mysteries of the Claustrum
  • 2019-01 PyPNS: Multiscale Simulation of a Peripheral Nerve in Python
  • 2018-12-19 Small Animal Multivariate Brain Analysis (SAMBA) – a High Throughput Pipeline with a Validation Framework
  • 2018-12-14 Automatic Thalamus Segmentation on Unenhanced 3D T1 Weighted Images: Comparison of Publicly Available Segmentation Methods in a Pediatric Population
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

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