خورشید گرفتگی را به صورت آنلاین مشاهده کنید.
رصدخانه هلیا - دانشگاه تحصیلات تکمیلی زنجان
https://www.aparat.com/heliya_observatory/live
رصدخانه هلیا - دانشگاه تحصیلات تکمیلی زنجان
https://www.aparat.com/heliya_observatory/live
Heliya_observatory - آپارات
پخش زنده رویداد های انجمن
KCNI Virtual Summer School
ChrowdCast Link:
https://www.crowdcast.io/e/s4qmka1v/1
Password for the Session:
Neuroinformatics
GitHup
ChrowdCast Link:
https://www.crowdcast.io/e/s4qmka1v/1
Password for the Session:
Neuroinformatics
GitHup
crowdcast
Krembil Centre for Neuroinformatics Summer School 2020
Register now for Krembil Centre for Neuroinformatics Summer School 2020 on crowdcast, scheduled to go live on July 6, 2020, 10:45 AM EDT.
Second week is running.
Check twitter : @neuromatch for updates.
https://github.com/NeuromatchAcademy/course-content/tree/master/tutorials
Check twitter : @neuromatch for updates.
https://github.com/NeuromatchAcademy/course-content/tree/master/tutorials
GitHub
course-content/tutorials at main · NeuromatchAcademy/course-content
NMA Computational Neuroscience course. Contribute to NeuromatchAcademy/course-content development by creating an account on GitHub.
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory. IDTxl provides functionality to estimate the following measures:
For network inference:
🌱multivariate transfer entropy (TE)/Granger causality (GC)
🌱 multivariate mutual information (MI)
🌱 bivariate TE/GC
🌱 bivariate MI
For analysis of node dynamics:
🌱 active information storage (AIS)
🌱partial information decomposition (PID)
https://github.com/pwollstadt/IDTxl
#information_theory
#network_inference
#transfer_entropy
#python
For network inference:
🌱multivariate transfer entropy (TE)/Granger causality (GC)
🌱 multivariate mutual information (MI)
🌱 bivariate TE/GC
🌱 bivariate MI
For analysis of node dynamics:
🌱 active information storage (AIS)
🌱partial information decomposition (PID)
https://github.com/pwollstadt/IDTxl
#information_theory
#network_inference
#transfer_entropy
#python
GitHub
GitHub - pwollstadt/IDTxl: The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference…
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theo...
2020 Schedule | Neurohack Years | Neurohackademy
https://neurohackademy.org/neurohack_year/2020/
لینک یوتیوب کورس ها بعد از برگزاری هر جلسه به برنامه زمانی اضافه می شود.
https://neurohackademy.org/neurohack_year/2020/
لینک یوتیوب کورس ها بعد از برگزاری هر جلسه به برنامه زمانی اضافه می شود.
neurohackademy/nh2020-curriculum: Materials for NH2020
https://github.com/neurohackademy/nh2020-curriculum
آدرس گیتهاب Neurohackademy برای نوت بوک های جلسات.
https://github.com/neurohackademy/nh2020-curriculum
آدرس گیتهاب Neurohackademy برای نوت بوک های جلسات.
GitHub
GitHub - neurohackademy/nh2020-curriculum: Materials for NH2020
Materials for NH2020. Contribute to neurohackademy/nh2020-curriculum development by creating an account on GitHub.
C++ implementation of the Python Numpy library
GITHUB
DOCUMENTATION
برای استفاده از کتابخانه numcpp باید کتابخانه boost نصب شده و آپدیت باشد. برای آپدیت کردن کتابخانه boost به اینجا و اینجا نگاه کنید.
برای راهنمای سریع استفاده از کتابخانه به صفحه اول README.md گیتهاب مراجعه کنید.
GITHUB
DOCUMENTATION
برای استفاده از کتابخانه numcpp باید کتابخانه boost نصب شده و آپدیت باشد. برای آپدیت کردن کتابخانه boost به اینجا و اینجا نگاه کنید.
برای راهنمای سریع استفاده از کتابخانه به صفحه اول README.md گیتهاب مراجعه کنید.
GitHub
GitHub - dpilger26/NumCpp: C++ implementation of the Python Numpy library
C++ implementation of the Python Numpy library. Contribute to dpilger26/NumCpp development by creating an account on GitHub.
Github
مدرسه تابستانی neuromatchacademy به پایان رسید. منابع و ویدئوها در دسترس عموم اند و منبع خوبی برای آشنایی با طیف وسیعی از مطالب تحلیل داده، نوروساینس و ... است.
مدرسه تابستانی neuromatchacademy به پایان رسید. منابع و ویدئوها در دسترس عموم اند و منبع خوبی برای آشنایی با طیف وسیعی از مطالب تحلیل داده، نوروساینس و ... است.
🔆 STAN
☘️ Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation.
☘️ Stan interfaces with the most popular data analysis languages (R, #python, shell, MATLAB, Julia, Stata) and runs on all major platforms (Linux, Mac, Windows).
🌱 Stan User’s Guide
🌱 PyStan Guide
To install simply use:
$ pip3 install pystan
☘️ Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation.
☘️ Stan interfaces with the most popular data analysis languages (R, #python, shell, MATLAB, Julia, Stata) and runs on all major platforms (Linux, Mac, Windows).
🌱 Stan User’s Guide
🌱 PyStan Guide
To install simply use:
$ pip3 install pystan
mc-stan.org
Stan User’s Guide
Stan user’s guide with examples and programming techniques.
Bernstein Network Computational Neuroscience
We are extremely happy to let you know that the registration for the #BernsteinConference 2020 is now open! This year, the conference is free of charge but registration is mandatory.
Link
We are extremely happy to let you know that the registration for the #BernsteinConference 2020 is now open! This year, the conference is free of charge but registration is mandatory.
Link
Twitter
#bernsteinconference hashtag on Twitter
On 19 Sep 2019 @hopihoekstra tweeted: "About to give a talk on the behavior of .." - read what others are saying and join the conversation.
ALLEN INSTITUTE MODELING WORKSHOP
The workshop will run from Wednesday, August 12 to Friday, August 14, and begin at 8am Pacific Time each day (7:30 PM in Tehran Time)
The workshop will run from Wednesday, August 12 to Friday, August 14, and begin at 8am Pacific Time each day (7:30 PM in Tehran Time)
Spiking neural networks as universal function approximators: Learning algorithms and applications
(Aug 31st / Sep 1st 2020)
The last years have seen many exciting new developments to train spiking neural networks to perform complex information processing. This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions.
The workshop is being organised by Dan Goodman and Friedemann Zenke.
Register here
#workshop
(Aug 31st / Sep 1st 2020)
The last years have seen many exciting new developments to train spiking neural networks to perform complex information processing. This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions.
The workshop is being organised by Dan Goodman and Friedemann Zenke.
Register here
#workshop
Eventbrite
Spiking neural networks as universal function approximators
Hear about and discuss the latest on training spiking neural networks to carry out complex information processing.
I am working on Modeling neural dynamics from Borgers using #brian2.
It's easy to learn and fast for development.
for a quick review and tutorial look at here.
There is also a course by #Gerstner which use brain2 in his book. [link to exercise]
The course is available by EPFL.
I am uploading the jupyter note books of Borgers using brian2 here.
Have fun coding!
It's easy to learn and fast for development.
for a quick review and tutorial look at here.
There is also a course by #Gerstner which use brain2 in his book. [link to exercise]
The course is available by EPFL.
I am uploading the jupyter note books of Borgers using brian2 here.
Have fun coding!
#brian2 simulator, introductory tutorial by Dan Goodman.
Watch "Introduction to Brian" on YouTube
https://youtu.be/cAF3UWTzX9A
Watch "Introduction to Brian" on YouTube
https://youtu.be/cAF3UWTzX9A
YouTube
Introduction to Brian
Covers:
Installing Python and Brian, virtual environments, Jupyter notebook.
Basic definitions of neurons and synapses.
Basics of running simulations.
Download Anaconda: https://www.anaconda.com/products/individual
Quick installation instructions for Brian:…
Installing Python and Brian, virtual environments, Jupyter notebook.
Basic definitions of neurons and synapses.
Basics of running simulations.
Download Anaconda: https://www.anaconda.com/products/individual
Quick installation instructions for Brian:…