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the Turing Machine
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Join me through the journey of learning Computational Neuroscience topics.
Useful resources, positions and much more!
Get in touch: @nosratullah
Website: nosratullah.github.io
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Computation Through Neural Population Dynamics
the Turing Machine
10.1146@annurev-neuro-092619-094115.pdf
Significant experimental, computational, and theoretical work has identified rich structure within the coordinated activity of interconnected neural pop- ulations. An emerging challenge now is to uncover the nature of the asso- ciated computations, how they are implemented, and what role they play in driving behavior. We term this computation through neural population dy- namics. If successful, this framework will reveal general motifs of neural pop- ulation activity and quantitatively describe how neural population dynamics implement computations necessary for driving goal-directed behavior. Here, we start with a mathematical primer on dynamical systems theory and ana- lytical tools necessary to apply this perspective to experimental data. Next, we highlight some recent discoveries resulting from successful application of dynamical systems. We focus on studies spanning motor control, timing, decision-making, and working memory. Finally, we briefly discuss promis- ing recent lines of investigation and future directions for the computation through neural population dynamics framework.
Compiled by William Chen
Link: Probability
Here you will find a collection of tutorials to guide you through the exploration of the world DataJoint!
You can now follow through the tutorial by using interactive DataJoint Playground! DataJoint Playground offers Jupyter based interactive Python environment, complete with all scientific libraries suitable for tutorials and experimenting with DataJoint with no setup required. Visit and sign up at https://datajoint.io

Link: https://tutorials.datajoint.io
#Neuroscience
Follow: @theTuringMachine
Forwarded from @UseLatex کانال آموزشی (Shapour Madadpour)
#درس۴۲۹
🔊 آموزش ویدئویی ساده برای نصب تکلایو در آرچ‌لینوکس (و در کل انواع گنو/لینوکس).
تهیه کننده: پدرام اردکانی
@uselatex
لینک آموزش در آپارات:
https://www.aparat.com/v/3Hqp2

تشکر از جناب اردکانی عزیز
گروه و کانال آموزشی یوزلاتک
@uselatex📌
Forwarded from Scientific Programming (ZiAEE)
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
Forwarded from Complex Systems Studies
260-m-Technical Incerto Vol 1.pdf
30 MB
Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications

Nassim Nicholas Taleb
https://www.researchers.one/article/2020-01-21.

The book investigates the misapplication of conventional statistical techniques to fat tailed distributions and looks for remedies, when possible.
Switching from thin tailed to fat tailed distributions requires more than "changing the color of the dress". Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under of the "laws of the medium numbers" --which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence.
Forwarded from Complex Systems Studies
Workshop on Critical Transitions in Complex Systems 2020 (online)
29th - 31st July 2020

Complex systems research has been at the forefront of scientific priorities for some time and many very interesting phenomena have been identified and explored in the context of a wide variety of applications. This workshop is part of a series, reflecting on an emerging movement to develop a mathematical theory for sudden changes in the dynamical behaviour of complex systems, so-called critical transitions. The prospect to develop reliable early-warning signals for such critical transitions is potentially far-reaching since these could lead to better control strategies to avoid or diminish the effect of catastrophes.

🔗 The workshop will be conducted via zoom. The registration is free but compulsory via the zoom link here.
TOWARDS MULTIPURPOSE MODELS OF CORTICAL CIRCUITS - JOIN US VIRTUALLY AUGUST 12-14

Link: Allen institute
the Turing Machine
Plants are alive! Link: YouTube #spare_time Follow: @theTuringMachine
Did you buy your mother flowers yesterday? While those sweet-smelling roses may bring a smile to your mother’s face, unless you cut them from your own backyard, those flowers are not making the environment smile. The floriculture industry, which thrives off of days of celebration like Mother’s Day and Valentine’s Day and birthdays, in fact has huge impacts on the environment through water usage, pollution, land degradation, and fossil fuel transportation emissions. Some estimates account that one hectare of a flower farm consumes over 900 cubic meters of water per month!
.... Continue reading
Link: Labroots
#spare_time