These resources include original and publicly available datasets that were standardised according to the CND data structure, as well as original analysis noscripts and links to publicly available toolboxes for the analysis of continuous-event neural data. Note that each dataset should be used according to its own license and should be referenced as indicated by the authors in their original submission.

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POSTDOCTORAL FELLOW POSITION IN EPILEPSY RESEARCH

The EEG and Epilepsy Unit of the University Hospitals and Faculty of medicine of the University of Geneva are offering a
POSTDOCTORAL FELLOW POSITION IN EPILEPSY RESEARCH
Start date: March 1st 2024 or mutual agreement
Review starts on September 30th 2023 and continues until the position is filled.
 
We are looking for a postdoctoral fellow funded jointly by two projects of the Swiss National Science Foundation (SNSF): (1) “Network Analysis to Predict Eligibility for Epilepsy Surgery” and (2) “Precision mapping of electrical brain network dynamics with application to epilepsy”.

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The Computational Machinery of Cognition (CMC) Lab (PI: Shervin Safavi), will be established at the Technische Universität Dresden in Fall 2023. We will be building the team in the next few months (starting with openings for Ph.D. students and master students).

Research theme:
We are interested in understanding the computational machinery of cognitive processes (in particular inference and decision processes). We do:

* normative and biophysical modeling of cognitive functions (starting with perceptual decisions);
* testing these models with neural and behavioral data (in collaboration with experimental labs)
* developing methods for multi- and cross-scale analysis of neural data to better capture the neural markers of cognitive processes.

If the research of our lab resonates with yours, and you like to get future announcements (e.g., call for PhD positions). please fill out this form (https://docs.google.com/forms/d/e/1FAIpQLSd8V5Mu8d-JwZXjs_Ck5toLl0IBg5pTpTrZs4A_QW-71pi13A/viewform?usp=sf_link)

Also, please feel free to get in touch (shervin.safavi@tuebingen.mpg.de) if you like to know more and/or to collaborate. It would also be great if pass it to your colleagues/friends who might be interested.

Pure python QR Code generator

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The International Brain Laboratory will release all data sets within 12 months of collection, or upon acceptance for publication of an associated manunoscript, whichever comes first.

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A freely available short course on neuroscience for people with a machine learning background. Designed by Dan Goodman and Marcus Ghosh.

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“Python for scientific computing” an on-line course aimed to improve your scientific Python skills starting Tuesday 7th November at 10:00 EET (4 days, 3 hours per day). 1 ECTS available if you need it.

More info and registration at:
https://scicomp.aalto.fi/training/scip/python-for-scicomp-2023/

Theoretical Neuroscience Podcast

Podcast #1: On models of the mind – with Grace Lindsay

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Python Books for Beginners, Intermediate And Advanced Programmers

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Hi everyone, following up on my previous message, now I have an opening for a computational neuroscience PhD position in my lab. You can find more details in the CMC lab website (which is still under construction, but probably have some helpful information):
https://shervinsafavi.github.io/cmclab/join/bne_phd_202310/
If you are interested in applying for this position, please follow the instructions in the official call from the university, i.e. upload a cover letter, a brief denoscription of your research interests, and your CV in the university portal.
If you have any questions, please let me know. If you are interested, but cannot meet the deadline, please let me know as soon as possible and we’ll see if we can figure out something.

Calculus Made Easy is a free book on calculus originally published in 1910 by Silvanus P. Thompson, considered a classic and elegant introduction to the subject.

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Public datasets!

Github

Calculus and Applications
Free online book on calculus by Vahid Shahrezaei

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Fundamentals of Data Visualization
by Claus O. Wilke

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Neuronal Modeling Workshop
Part I: Simplified point neurons

This in-person workshop aims to provide participants with an introduction to various topics related to simulating a network of point neurons. The workshop is designed to be interactive, allowing participants to work on their own computers while receiving guidance from experienced instructors.

Lecturers:
• Alireza Valizadeh
• Mojtaba Madadi Asl
• Mozhgan Khanjanianpak
• Saeed Taghavi

Schedule: February 21-22, 2024
Venue: Pasargad Institute for Advanced Innovative Solutions (PIAIS), Khatam University, Tehran, Iran

Registration deadline: February 10, 2024
Registration form: www.b2n.ir/NMW-form
Website: www.b2n.ir/NMW-web

For details, please inquire mojtabamadadi7@gmail.com
For technical support, contact saeed.taghavi.v@gmail.com

List of summer schools and workshops in computational neuroscience
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"Ambitions for theory in the physics of life" (by William Bialek): https://arxiv.org/abs/2401.15538

[note: Lectures at the 2023 Les Houches Summer School, Theoretical Biophysics]

Theoretical physicists have been fascinated by the phenomena of life for more than a century. As we engage with more realistic denoscriptions of living systems, however, things get complicated. After reviewing different reactions to this complexity, I explore the optimization of information flow as a potentially general theoretical principle. The primary example is a genetic network guiding development of the fly embryo, but each idea also is illustrated by examples from neural systems. In each case, optimization makes detailed, largely parameter-free predictions that connect quantitatively with experiment

Summer School | Advanced tools for data analysis in neuroscience

Advanced tools for data analysis in neuroscience
Research discoveries are increasingly dependent on the development of new tools and technologies, as well as on the ability to process, manage and analyze the large amounts of data collected with these tools....

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IPython Interactive Computing and Visualization Cookbook, Second Edition (2018), by Cyrille Rossant, contains over 100 hands-on recipes on high-performance numerical computing and data science in the Jupyter Notebook.

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