The Neuroscience Information Framework is a dynamic inventory of Web-based neuroscience resources: data, materials, and tools accessible via any computer connected to the Internet. An initiative of the NIH Blueprint for Neuroscience Research, NIF advances neuroscience research by enabling discovery and access to public research data and tools worldwide through an open source, networked environment.

Link: Neuroscience Information Framework

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Link: YouTube

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MAY, R. M. (1972). Will a Large Complex System be Stable? Nature, 238(5364), 413–414. doi:10.1038/238413a0

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The goal of the NeuroElectro Project is to extract information about the electrophysiological properties (e.g. resting membrane potentials and membrane time constants) of diverse neuron types from the existing literature and place it into a centralized database.

Link: NeuroElectro

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https://www.youtube.com/watch?v=BucMrSUy0I8

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Denoscription:
• Projection of NeuroElectro neuron types onto space defined by the first 2 electrophysiology principal components which collectively represent ~70% of variance. Neuron types are indicated by circles and circle size is proportional to number of corresponding articles indexed in NeuroElectro database.

Interactivity:
• Click on neuron types to go to corresponding neuron page.
• Zoom in on a section of plot by dragging cursor. Zoom out by double clicking on plot.

Link: NeuroElectro

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Course Denoscription
Time series data is all around us; some examples are the weather, human behavioral patterns as consumers and members of society, and financial data. In this course, you'll learn how to calculate technical indicators from historical stock data, and how to create features and targets out of the historical stock data. You'll understand how to prepare our features for linear models, xgboost models, and neural network models. We will then use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. You will also learn how to evaluate the performance of the various models we train in order to optimize them, so our predictions have enough accuracy to make a stock trading strategy profitable.

Link: Machine Learning for Finance in Python

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Create stunning plots is not that hard you think. You just need to do some tricks that I didn’t see people use them that much.

Link: Visualisation with python

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Git cheatsheet

Link: Git

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Initiative Q is an attempt by ex-PayPal guys to create a new payment system instead of payment cards that were designed in the 1950s. The system uses its own currency, the Q, and to get people to start using the system once it's ready they are allocating Qs for free to people that sign up now (the amount drops as more people join - so better to join early). Signing up is free and they only ask for your name and an email address. There's nothing to lose but if this payment system becomes a world leading payment method your Qs can be worth a lot. If you missed getting bitcoin seven years ago, you wouldn't want to miss this.

Here is my invite link: Invite-link

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Measurements and Data Analysis for Agricultural Engineers Using Python
by Matti Pastell

Link: PyAgEng

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The Way You’re Currently Sitting Reveals Everything About Your Personality

Even if your job doesn’t require you to spend a lot of time behind a desk, there’s a good chance that you spend a lot of time sitting on the couch, at the kitchen table, or in a comfy arm chair.
While sitting for too long can have some adverse side effects on our health and well-being (be sure to stand or walk for 10 to 20 minutes every hour!), there’s something about sitting that few people realize…
The way you sit actually says a lot about your personality!

Link: LittleThings

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These mini-lectures are designed around a class that I occasionally teach, as well as my book Analyzing Neural Time Series Data: Theory and Practice (2014, MIT Press). Each lecture is between ~5 and ~30 minutes, although some are longer because the material is more complex. My lecture slides are not available for download, so please do not ask for them.

Link: Mike X Cohen

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Introduction to Neuroimaging

Measuring in-vivo brain activity from humans is an extraordinary feat. What is Neuroimaging? and What can we learn about the brain using this technique?
In this section, we will provide an overview of the course and a very introductory overview of the different types neuroimaging and a few examples of different types of things we can do with BOLD fMRI.

Link: Neuroimaging

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Ecosia is a search engine based in Berlin, Germany, that donates 80% or more of its profits to nonprofit organizations that focus on reforestation. It considers itself a social business, is CO₂-negative, claims to support full financial transparency and protect the privacy of its users. Ecosia is also B Lab-certified.

Link: Ecosia

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We can define a neural network that can learn to recognize objects in less than 100 lines of code. However, after training, it is characterized by millions of weights that contain the knowledge about many object types across visual scenes. Such networks are thus dramatically easier to understand in terms of the code that makes them than the resulting properties, such as tuning or connections. In analogy, we conjecture that rules for development and learning in brains may be far easier to understand than their resulting properties. The analogy suggests that neuroscience would benefit from a focus on learning and development.

Link: arXiv

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This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory.

Link: YouTube

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Data Science & Machine Learning

I am a data scientist with a decade of experience applying statistical learning, artificial intelligence, and software engineering to political, social, and humanitarian efforts -- from election monitoring to disaster relief.
Learning machine learning? Check out my Machine Learning Flashcards or my book, Machine Learning With Python Cookbook.

Link: ChrisAlbon
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The 5 Top Traits of the Worst Advisors

In the post, Dr. Isis describes a shocking encounter in graduate school when a mentor informed her that because she had no first author publications, she was seen as unproductive, and not a competitive contender for grants.

Link: TheProfessorIn

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