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Prikvačeni tweet
Wow! Now our paper http://doi.org/10.1016/j.neuroimage.2019.04.028 … is on the cover page of
@NeuroImage_EiC! Legend: "Our brain constantly attempts to predict the next value in a sequence of stimuli presented to it via our senses. /pic.twitter.com/9ewdzKjYAb
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Alireza Modirshanechi proslijedio/la je Tweet
Twitter-sized history of neuroscience (biased by my interests).
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Alireza Modirshanechi proslijedio/la je Tweet
For those of you who didn’t live through the invasion of Iraq, here is what is about to happen: 1. There will be a MASSIVE propaganda push (by Republicans) to frame this act of war as a moral necessity and to act like anyone who opposes it is working for “the enemy.”
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Alireza Modirshanechi proslijedio/la je Tweet
I was right about Vietnam. I was right about Iraq. I will do everything in my power to prevent a war with Iran. I apologize to no one.pic.twitter.com/Lna3oBZMKB
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Alireza Modirshanechi proslijedio/la je Tweet
When we talk about responsibility and ethical concerns with autonomous AI-driven bots, how is it different from a K-9 unit? What I see is a lethal autonomous entity with a trained black-box cognitive system, whose behavior is known only statistically. What are the regulations?https://twitter.com/ABC7/status/1208108588872261632 …
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Alireza Modirshanechi proslijedio/la je Tweet
Johanni Brea: A memory-augmented RL model of food caching in birds
#ccneuro2019#ccn19 Paper: https://ccneuro.org/2019/Papers/ViewPapers.asp?PaperNum=1316 …pic.twitter.com/hKFWOHtKQn
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Alireza Modirshanechi proslijedio/la je Tweet
Excited to share our paper! https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007122 … Adaptation changes the spectral properties of chaotic dynamics in random neural networks. This increases network correlation time and improves transmission of slow signals.
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Alireza Modirshanechi proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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/It generates special neural activity when an incoming value differs from what it expected and hence incites a surprise. This surprise can be decoded from recorded EEG signals."
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Alireza Modirshanechi proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Thanks to Florent Meyniel,
@maheump, and@StanDehaene who shared their codes for their Sequence Processing Model published in http://doi.org/10.1371/journal.pcbi.1005260 …https://twitter.com/maheump/status/1118132519428345859?s=19 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Three highlights from our results are as follows: 1. The P300 and MMN components are equally informative about the surprise of stimuli. 2. Perception of surprise is independent of the sensory modality. 3. All rare stimuli are not necessarily surprising stimuli.pic.twitter.com/DVdtoKo0fM
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Rather than usual encoding models, a decoding model was developed for the model-based analysis of subjective surprise in oddball tasks for the first time.pic.twitter.com/La7vPJjaVR
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My first journal paper "Trial-by-trial surprise-decoding model for visual and auditory binary oddball tasks" is now available online: http://doi.org/10.1016/j.neuroimage.2019.04.028 … I would be more than glad to hear what you think. Your feedback would be highly appreciated.
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Alireza Modirshanechi proslijedio/la je Tweet
Super happy that our model of sequence processing developed with Florent Meyniel and
@StanDehaene (and available@github) is used by@modirshanechi et al. in a recent@NeuroImage_EiC paper https://doi.org/10.1016/j.neuroimage.2019.04.028 …#OpenSource#OpenSciencePrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Alireza Modirshanechi proslijedio/la je Tweet
Localization of active brain sources from EEG signals using Empirical Mode Decomposition: Comparative study: Pablo Andrés Muñoz Gutiérrez, Eduardo Giraldo Suárez, Marta Molinas, Maximiliano Bueno Lópezhttps://goo.gl/dqRwgn
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Alireza Modirshanechi proslijedio/la je Tweet
Blacked-out poster at
#SfN2018 from@neuronewy lab, submitted because the author was prevented from coming to the USA. The travel ban is an awful policy, and brutally unfair to the people affected, especially trainees. Glad this poster was here as a reminder.pic.twitter.com/oPWJ49svGC
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Alireza Modirshanechi proslijedio/la je Tweet
"Has science gone too far?" As long as it is humans asking this, the answer is no. But if your fridge says that, it might have a point.
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Alireza Modirshanechi proslijedio/la je Tweet
1/ New
#deeplearning paper at the intersection of#AI#mathematics#psychology and#neuroscience: A mathematical theory of semantic development in deep neural networks: https://arxiv.org/abs/1810.10531 Thanks to awesome collaborators Andrew Saxe and Jay McClelland!pic.twitter.com/ibmjvlAGlU
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Alireza Modirshanechi proslijedio/la je Tweet
Hamiltonian Descent Methods (https://arxiv.org/abs/1809.05042 ): our generalisation of the momentum method extends the class of convex functions that can be optimised with exponential rates using just gradients.pic.twitter.com/myeFLjB8Zj
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