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Ben Stauch proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Ben Stauch proslijedio/la je Tweet
No other textbook, and possibly no other book, will ever have a better opening paragraph than Goodstein's "States of Matter":pic.twitter.com/XkjvEj6sZR
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Ben Stauch proslijedio/la je Tweet
wow this looks pretty phenomenal A survey of spiking activity reveals a functional hierarchy of mouse corticothalamic visual areas https://www.biorxiv.org/content/10.1101/805010v1 …pic.twitter.com/TKE23hbnk1
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This looks awesome: FreeSurfer-like cortical surface reconstruction with improved accuracy in minutes of runtime! https://arxiv.org/abs/1910.03866
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Ben Stauch proslijedio/la je Tweet
Gamma-cycle duration predicts instantaneous amplitude, spike rate and synchrony in macaque V1.https://www.biorxiv.org/content/10.1101/793729v1 …
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Ben Stauch proslijedio/la je Tweet
Starting now! Elena Boto presenting her ground-breaking work on
#OPMs and wearable MEG!@UoN_MEG@sarangnemo@WCHN_UCLpic.twitter.com/IKYbvRF6bU
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Registrations for
#ESISyNC2019 - The recurrent cortex: feedback, dynamics, and dimensionality, happening in Frankfurt, September 5th and 6th, are now open at http://www.esi-frankfurt.de/esisync/ !pic.twitter.com/YJXO5BLyIe
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Are you a Matlab user and envious of those R-hipsters with their cool Wes Anderson color schemes (https://github.com/karthik/wesanderson/blob/master/README.md …)? Fret no more, because here they are for Matlab: https://gist.github.com/bmjstau/b1ba61141bc683655e442ee871aa1d7f …
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Ben Stauch proslijedio/la je Tweet
New by Selmaan Chettih & Chris Harvey in
@nature: Single-neuron perturbations reveal feature-specific competition in V1https://www.nature.com/articles/s41586-019-0997-6?WT.ec_id=NATURE-20190321&utm_source=nature_etoc&utm_medium=email&utm_campaign=20190321&sap-outbound-id=DB00436ABE39C021B968E6895A99C38B84261145#data-availability …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ben Stauch proslijedio/la je Tweet
New preprint: “Recurrence required to capture the dynamic computations of the human ventral visual stream.” with Courtney Spoerer,
@LynnKASorensen, Radoslaw Cichy,@OlafHauk,@KriegeskorteLab#MEG#DeepLearning#Neuroscience#ComputationalNeuroscience https://arxiv.org/abs/1903.05946 1/10Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ben Stauch proslijedio/la je Tweet
our paper with
@Marie_E_Bellet joachim bellet, hendrijke nienborg and ziad hafed@uni_tue on#deepneuralnetworks for#saccade detection has been published@JNeurophysiol https://www.physiology.org/doi/abs/10.1152/jn.00601.2018 …pic.twitter.com/wZgnJH28UY
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Registrations for
#ESISyNC2018 - Integrative Mechanisms in Cognitive Neuroscience are now open at http://www.esi-frankfurt.de/esisync/ !pic.twitter.com/k8hMRrejaW
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Ben Stauch proslijedio/la je Tweet
Story: 1. Neurons in the brain are very chatty: they fire action potentials, their basic unit of communication, even when there is nothing to communicate. For example in this video, in visual cortex recordings in complete darkness. Lots of chatting:pic.twitter.com/QCmHLhAI9x
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Ben Stauch proslijedio/la je Tweet
We just released our recordings of ~10,000 neurons in visual cortex during spontaneous behaviors. Check them out! via
@figshare#openscience#dataduel https://figshare.com/articles/Recordings_of_ten_thousand_neurons_in_visual_cortex_during_spontaneous_behaviors/6163622 …@marius10p@MatteoCarandinipic.twitter.com/CbSTVQfwUm
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'I'll just compute my gabor stimuli as a shader. Should be easy.' - me, 3 hours ago.pic.twitter.com/g1axOy7S1h
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Ben Stauch proslijedio/la je Tweet
Gamma synchronization between V1 and V4 improves behavioral performance http://biorxiv.org/cgi/content/short/290817v1 …
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Ben Stauch proslijedio/la je Tweet
Highly tuned neurons [eg, strong 'cat detectors'] in Deep Neural Networks are not super important to object classification https://deepmind.com/blog/understanding-deep-learning-through-neuron-deletion/ …pic.twitter.com/HuH4i4ezOV
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Ben Stauch proslijedio/la je Tweet
Strong coupling of neural populations implies high learning rate - is there a stable 'backbone' of stimulus representation with slow synaptic plasticity & coupling, underneath flexible neurons with fast plasticity and coupling? https://www.biorxiv.org/content/early/2018/02/14/265041?rss=1 …pic.twitter.com/JO4DhtL6Zy
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Ben Stauch proslijedio/la je Tweet
Finding decodable information that is read out in behaviour https://www.biorxiv.org/content/early/2018/01/16/248583?%3Fcollection= … Not all decodable activity is decoded by the brain. Preprint.pic.twitter.com/WTfwXPIAbs
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Ben Stauch proslijedio/la je Tweet
I just published “A not entirely serious future history of neuroscience”https://medium.com/p/a-not-entirely-serious-future-history-of-neuroscience-e5d92b85d470 …
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