My lab is hiring. We are interested in the neurophysiology of Social Cognition and Spatial Navigation. Available positions for PhD students, Postdocs and technicians.
Apply here:
https://t.co/1TQ7NcQrLq
Our new review in @SfNJournals outlines an emerging modular view of the locus coeruleus. You can see one of our figure images on the cover of this issue of J. Neuroscience. The article accompanies our mini-symposium on Tuesday afternoon at #SfN19. https://t.co/mbVjs0V3mQ
(Jr) scientists!
Wanna get a PhD?☑️
Interested in synapse neurobiology?☑️
Don't wanna shovel snow in winter?☑️
I'm recruiting through UVA Psychology Grad Program, deadline Dec 1: https://t.co/AjSpRQv5QS
PM for details, #SfN19 meetup or contact info of past trainees. Pls RT!
The Ribic Lab will open its door in January 2020-come work with me on assembly & plasticity of visual circuits in the amazing @UVA Psychology Department! Plus, you get to celeb hunt @TheRock around C-ville 😎 https://t.co/eAATLA5QAc
I'm still looking for one-two PhD students to work on computational methods for high-dimensional neural data focusing on temporal patterns & network correlations, and development of efficient algorithms for such data.
https://t.co/kYXMILefhS
@thecryptolotto Hi @thecryptolotto the things you mention are indicators which are calculate based on the OHLC data. I'm afraid there is no way to download them. So you will have to calculate them yourself. In case you don't have the data yet: https://t.co/iWzgOqBc6j
Looking for high resolution #OHLC crypto data? Just released this dataset on #Kaggle
401 crypto currency pairs at minute resolution on #kaggle via @KaggleDatasets#bitcoin#trading https://t.co/NhV3aLXCms
How do you remove noise from an image or figure out who-says-what at a cocktail party? One way: Independent Component Analysis. Have a look at my latest article in @TDataScience to see how it works. #machinelearning#python#datascience
https://t.co/uzPZu7kmnu
How trying to understand how neurons work has led to the Perceptron algorithm, the groundwork for today's deep learning techniques. My recent article on @TDataScience#ai#MachineLearning#neuroscience
https://t.co/cxe30DjrgI
If you are going to #SfN18 and are interested in how the low-dimensional single trial population response structure relates to the underlying single neuron network communication structure, come see my poster PP16, 585.27 on Tuesday afternoon.
Today we're open sourcing TRFL, a library of building blocks for reinforcement learning agents - containing key algorithmic components of many of our most successful RL agents.
GitHub: https://t.co/J6OTTyHlN9
Blog post: https://t.co/FE2RojT7zn