MEG: An Introduction to Methods: 9780195307238: Medicine & Health Science Books @ Amazon.com
https://www.amazon.com/MEG-Introduction-Methods-Peter-Hansen/dp/0195307232
https://www.amazon.com/MEG-Introduction-Methods-Peter-Hansen/dp/0195307232
Amazon
MEG: An Introduction to Methods
MEG: An Introduction to Methods: 9780195307238: Medicine & Health Science Books @ Amazon.com
Connectome dataset
Connectome File Format - Datasets (Version 2.0)
Connectome File Format - Datasets (Version 2.0)
The Viking (Gunnar Blohm) on Twitter: "For @neuromatch we're looking for an open M/EEG dataset to use. Must include behavior! Any suggestions?" / Twitter
https://twitter.com/GunnarBlohm/status/1259421747071397889
پاسخ ها به این توییت بیشتر منظورم بوده
منابع خوبی رو معرفی کرده اند.
https://twitter.com/GunnarBlohm/status/1259421747071397889
پاسخ ها به این توییت بیشتر منظورم بوده
منابع خوبی رو معرفی کرده اند.
Twitter
The Viking (Gunnar Blohm)
For @neuromatch we're looking for an open M/EEG dataset to use. Must include behavior! Any suggestions?
openlists/ElectrophysiologyData: A list of openly available datasets in (mostly human) electrophysiology.
Open Datasets in Electrophysiology
@BrainDataAnalysis
Open Datasets in Electrophysiology
@BrainDataAnalysis
GitHub
GitHub - openlists/ElectrophysiologyData: A list of openly available datasets in (mostly human) electrophysiology.
A list of openly available datasets in (mostly human) electrophysiology. - GitHub - openlists/ElectrophysiologyData: A list of openly available datasets in (mostly human) electrophysiology.
Megocclusion-vr3
This is the third version for Megocclusion dataset: RepOD. http://dx.doi.org/10.18150/repod.7137328. Data for the mask and no-mask conditions were mislabeled in the previous version (Megocclusion-vr2: RepOD. http://dx.doi.org/10.18150/repod.7536911). This is now fixed in the new version.
@BrainDataAnalysis
This is the third version for Megocclusion dataset: RepOD. http://dx.doi.org/10.18150/repod.7137328. Data for the mask and no-mask conditions were mislabeled in the previous version (Megocclusion-vr2: RepOD. http://dx.doi.org/10.18150/repod.7536911). This is now fixed in the new version.
@BrainDataAnalysis
repod.pon.edu.pl
Megocclusion - RepOD
This data is from a MEG study investigating the temporal dynamics of object recognition under the challenging condition of occlusion. For more information about experimental design and data...
Causality Challenge
Estimate causal direction in noisy background
EEG and simulated data
@BainDataAnalysis
Estimate causal direction in noisy background
EEG and simulated data
@BainDataAnalysis
https://app.dimensions.ai/
جستجو در قسمت dataset اجازه دسترسی به فایل های به اشتراک گذاشته شده مقالات رو میده.
جستجو در قسمت dataset اجازه دسترسی به فایل های به اشتراک گذاشته شده مقالات رو میده.
app.dimensions.ai
Sign in - Dimensions
Re-imagining discovery and access to research: grants, datasets, publications, citations, clinical trials, patents and policy documents in one place. With more than 100 million publications...
Please check the project materials section of this page:
https://github.com/NeuromatchAcademy/course-content/tree/master/projects
https://github.com/NeuromatchAcademy/course-content/tree/master/projects
GitHub
course-content/projects at master · NeuromatchAcademy/course-content
NMA Computational Neuroscience course. Contribute to NeuromatchAcademy/course-content development by creating an account on GitHub.
https://neurodata.io/project/connectomes/
This page hosts animal connectomes produced using data from a multitude of labs, across model species, using different modalities. A 'connectome' is a specific, cell-to-cell mapping of axonal tracts between neurons, created from cellular data like electron microscopy. Animal models included are cat, fly, the macaque monkey, mouse, rat, and worm. Every graph is annotated with a source attribute that denotes its origin.
This page hosts animal connectomes produced using data from a multitude of labs, across model species, using different modalities. A 'connectome' is a specific, cell-to-cell mapping of axonal tracts between neurons, created from cellular data like electron microscopy. Animal models included are cat, fly, the macaque monkey, mouse, rat, and worm. Every graph is annotated with a source attribute that denotes its origin.
neurodata.io
Networks
Extending and fusing statistical machine learning to address the most important brain science and mental health questions of our time
Shared Datasets from the Cortexlab
http://data.cortexlab.net/
Above datasets collected by Nick Steinmetz.
http://data.cortexlab.net/
Above datasets collected by Nick Steinmetz.
The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure
Paper
The code and data to reproduce the results are available on GitHub.
Paper
The code and data to reproduce the results are available on GitHub.
GitHub
TommyBoshkovski/The_R1-weighted_connectome
Scripts in support of the preprint: Boshkovski et al. (2020). The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure. - TommyBoshkovski/The_R1-weighted_connectome
Really happy to share our new publication in Nature SciData describing a huge rsEEG dataset (N=1274) collected over the last Two Decades at the Brainclinics Foundation. TDBRAIN can be downloaded from https://t.co/wy5Ly32xGl. Happy datamining!!! 1/5 https://t.co/yw07XoLiuc
Brainclinics
resources - Brainclinics