Symmetry Breaking in Space-Time Hierarchies Shapes Brain Dynamics and Behavior
In order to maintain brain function, neural activity needs to be tightly coordinated within the brain network. How this coordination is achieved and related to behavior is largely unknown. It has been previously argued that the study of the link between brain and behavior is impossible without a guiding vision. Here we propose behavioral-level concepts and mechanisms embodied as structured flows on manifold (SFM) that provide a formal denoscription of behavior as a low-dimensional process emerging from a network’s dynamics dependent on the symmetry and invariance properties of the network connectivity....
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In order to maintain brain function, neural activity needs to be tightly coordinated within the brain network. How this coordination is achieved and related to behavior is largely unknown. It has been previously argued that the study of the link between brain and behavior is impossible without a guiding vision. Here we propose behavioral-level concepts and mechanisms embodied as structured flows on manifold (SFM) that provide a formal denoscription of behavior as a low-dimensional process emerging from a network’s dynamics dependent on the symmetry and invariance properties of the network connectivity....
#articles
[ source ]
Follow: @theTuringMachine
Everything you did and didn't know about PCA
Many scientists are familiar with organizing and handling data in 2D tables. For example, we might record the mRNA expression level of
p genes in n
tissue samples. We might store these data in a n×p
matrix, where each row corresponds to a sample, and each column corresponds to a gene. Principle components analysis (PCA) is a standard way to reduce the dimension
p (which can be quite large) to something more manageable.
[ source ]
Follow: @theTuringMachine
Many scientists are familiar with organizing and handling data in 2D tables. For example, we might record the mRNA expression level of
p genes in n
tissue samples. We might store these data in a n×p
matrix, where each row corresponds to a sample, and each column corresponds to a gene. Principle components analysis (PCA) is a standard way to reduce the dimension
p (which can be quite large) to something more manageable.
[ source ]
Follow: @theTuringMachine
Forwarded from Complex Systems Studies
🔹 Simons-Emory Workshop on Neural Dynamics
- "What could neural dynamics have to say about neural computation, and do we know how to listen?"
- Friday December 4th from 11am-2pm EST
- Event WebSite
- Register
- The workshop will assume familiarity with Vyas et al., Ann Rev Neuro 2020. Please review before attending.
- "What could neural dynamics have to say about neural computation, and do we know how to listen?"
- Friday December 4th from 11am-2pm EST
- Event WebSite
- Register
- The workshop will assume familiarity with Vyas et al., Ann Rev Neuro 2020. Please review before attending.
Google Docs
Simons-Emory Workshop on Neural Dynamics
We are pleased to announce the Simons-Emory Workshop on Neural Dynamics, which will livestream on Friday, December 4th from 11am-2pm EST.
"What could neural dynamics have to say about neural computation, and do we know how to listen?"
Speakers will deliver…
"What could neural dynamics have to say about neural computation, and do we know how to listen?"
Speakers will deliver…
Forwarded from Complex Systems Studies
Recurring event
Next on 15.12.2020 11:30 – 12:45 (Tehran Time)
Where Online event
🧠 Nonlinear Independent Component Analysis
Prof. Aapo Hyvärinen, Department of Computer Science, University of Helsinki
🧠 Learning representations from neural time series
Dr. Alexandre Gramfort, Université Paris-Saclay, Inria, Palaiseau, France
🔗 For more information see here:
https://www.aalto.fi/en/events/brain-mind-computational-seminar
Next on 15.12.2020 11:30 – 12:45 (Tehran Time)
Where Online event
🧠 Nonlinear Independent Component Analysis
Prof. Aapo Hyvärinen, Department of Computer Science, University of Helsinki
🧠 Learning representations from neural time series
Dr. Alexandre Gramfort, Université Paris-Saclay, Inria, Palaiseau, France
🔗 For more information see here:
https://www.aalto.fi/en/events/brain-mind-computational-seminar
PhD positions in the lab of Rava Azeredo da Silveira in Basel
#positions
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*Openings for PhD positions in the lab of Rava Azeredo da Silveira *
*(Basel)*
The lab of Rava Azeredo da Silveira invites applications for *PhD*
*positions* at the Institute for Molecular and Clinical Ophthalmology Basel
(IOB), an associated institute of the University of Basel.
Research questions will be chosen from a broad range of topics in
theoretical/computational neuroscience and cognitive science (see the
denoscription of the lab’s activity, below). Candidates with backgrounds in
mathematics, statistics, artificial intelligence, physics, computer
science, engineering, biology, and psychology are welcome. Experience with
data analysis and proficiency with numerical methods, in addition to
familiarity with neuroscience topics and mathematical and statistical
methods, are desirable. Equally desirable are a spirit of intellectual
adventure, eagerness, and drive.
The positions will come with highly competitive work conditions and
salaries.*How to apply:*
Please send the following information *in one single PDF, to <silveira at iob.ch>*:*
1. letter on motivation and interests;
2. curriculum vitæ;
3. trannoscripts of undergraduate and Master grades.#positions
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Forwarded from Complex Systems Studies
💰 Join us to do research in dynamical systems at VU Amsterdam: We have a 3-year #postdoc position open without many strings (or any existing projects) attached, so excellent candidates with their own ideas are wanted. Apply at https://t.co/u5Xr91qObU by Feb 1. Please share!
workingat.vu.nl
Postdoc in Dynamical Systems - >Working at VU
Location: AMSTERDAM FTE: 0.8 - 1 Job denoscription The Department of Mathematics of Vrije Universiteit Amsterdam welcomes applications for a three-year Postdoctoral position in Dynamical Systems, including (but not limited to) computational dynamics, data...
Forwarded from Complex Systems Studies
📯We are hiring!📯
4-year fully funded #PhD position in Sample-Efficient Probabilistic Machine Learning @UnivHelsinkiCS with links to @FCAI_fi
Please see blurb below, and full ad here: https://t.co/w7Y3Nhxn3w
Application deadline: Jan 10, 2021. Please RT! https://t.co/Nr5plMuJ2C
4-year fully funded #PhD position in Sample-Efficient Probabilistic Machine Learning @UnivHelsinkiCS with links to @FCAI_fi
Please see blurb below, and full ad here: https://t.co/w7Y3Nhxn3w
Application deadline: Jan 10, 2021. Please RT! https://t.co/Nr5plMuJ2C