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the Turing Machine
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Join me through the journey of learning Computational Neuroscience topics.
Useful resources, positions and much more!
Get in touch: @nosratullah
Website: nosratullah.github.io
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Forwarded from the last neural cell (Aleksejs Timčenko)
Continuing sharing newsletters for inspiration and general perspective broadening

Neural manifolds: Latest buzzword or pathway to understand the brain?

Check out this insightful piece from The Transmitter on neural manifolds and population coding.

The article presents a case for viewing neural information processing through the lens of coordinated population activity rather than individual neuron responses. The neural manifold framework – where neural activity is represented as trajectories on a geometric surface in high-dimensional space – offers a powerful way to understand how the brain processes information.

🔥 Key insight: while neural activity involves billions of neurons, it appears to be constrained to lower-dimensional manifolds, similar to how individual words gain meaning only in the context of sentences. The author addresses common misconceptions, clarifying that manifolds aren't just about dimensionality reduction, but rather about understanding the geometry and topology of neural population dynamics.

@Altime: I am also starting my work in neural manifolds in visual processing, so going to share some cool stuff with you once it's done 👀


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The Transmitter consistently delivers such perspectives on neuroscience, bridging theoretical frameworks with experimental insights. Worth following for anyone interested in systems neuroscience and neural computation!

They can send you weekly or monthly digests, whichever you prefer.

P.S. [For lang=ru audience] Так как мы пишем на двух языках, советую пользоваться встроенным переводом от телеграма, если возникают трудности.
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The Elements of Style

Author: William Strunk, Jr.

Asserting that one must first know the rules to break them, this classic reference book is a must-have for any student and conscientious writer. Intended for use in which the practice of composition is combined with the study of literature, it gives in brief space the principal requirements of plain English style and concentrates attention on the rules of usage and principles of composition most commonly violated.

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@theTuringMachine
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Forwarded from Scientific Programming (ziaee)
Global Brain Reconfiguration After Local Neural Manipulation.wav
37.2 MB
Our new research article from PNAS investigates how localized brain manipulations, such as lesions or silencing, impact the entire brain's functional connectivity in mice. Combining fMRI data with computational modeling, the study reveals that these targeted interventions lead to widespread network reconfigurations, sometimes decreasing and other times increasing connectivity. We used personalized brain simulations to explore the underlying mechanisms of this phenomenon, known as diaschisis, finding that alterations in local neuronal excitability drive these global changes. Their findings offer insights into understanding the broad effects of focal brain disruptions and could inform the development of more precise therapeutic strategies targeting brain dynamics. The data and analysis tools are publicly available.

https://www.pnas.org/doi/10.1073/pnas.2405706122
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Low-dimensional shared variability can be generated in spatial network models
• Synaptic spatial and temporal scales determine the dimensions of shared variability
• Depolarizing inhibitory neurons suppresses the population-wide fluctuations
• Modeling the attentional modulation of variability within and between brain areas

[ link ]
Job Details

Postdoctoral Researcher
Department of Experimental Psychology, Life and Mind Building, South Parks Road
This is an exciting opportunity to help shape the direction of a new research group, and supervise PhDs and Masters’ students. We are looking for an independent postdoc who wants to explore both the PI’s research directions as well as their own.
 
Reporting to the Principal Investigator, James Whittington, the post holder will be a member of a research group with responsibility for carrying out research for understanding the learned algorithms in brains and machines. The post holder will provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students.
 
The post is full-time and funded until 31 October 2030.
 
Find out more: [Link]