Shortform link:
https://shortform.com/artem.
In this video we will explore a very interesting paper published in Nature in 2022, which describes the hidden torus in the neuronal activity of cells in the entorhinal cortex, known as grid cells.
Place cell video: https://www.youtube.com/watch?v=iV-EMA5g288&t=158s.
Neural manifolds video: https://www.youtube.com/watch?v=QHj9uVmwA_0
Shortform link:
https://shortform.com/artem.
My name is Artem, Iâm a computational neuroscience student and researcher.
In this video we will talk about the fundamental role of lognormal distribution in neuroscience. First, we will derive it through Central Limit Theorem, and then explore how it support brain operations on many scales â from cells to perception.
REFERENCES:
Posted in engineering, neuroscience
Reverse engineering the cognitive brain.
Dropbox is a free service that lets you bring your photos, docs, and videos anywhere and share them easily. Never email yourself a file again!
Through a vast network of nerve fibers, electrical signals are constantly traveling across the brain. This complicated activity is what ultimately gives rise to our thoughts, emotions, and behaviors â but also possibly to mental health and neurological problems when things go wrong.
Brain stimulation is an emerging treatment for such disorders. Stimulating a region of your brain with electrical or magnetic pulses will trigger a cascade of signals through your network of nerve connections.
However, at the moment, scientists are not quite sure how these cascades travel to impact the activity of your brain as a whole â an important missing piece that limits the benefits of brain stimulation therapies.
Quantum consciousness microtubules.
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The goal of brain imaging is to provide in-vivo measures of the human brain to better understand how the brain is structured, connected and functions.
In this talk, we will discuss how to analyze brain imaging data in order to make sense of the large amount of data that comes out of the scanner.
đ€ **About the speaker**
[Dr. Camille Maumet](https://twitter.com/cmaumet) is a research scientist in neuroinformatics at Inria, Univ Rennes, CNRS, Inserm in Rennes, France.
After 12 years of work, a huge team of researchers from the UK, US, and Germany have completed the largest and most complex brain map to date, describing every neural connection in the brain of a larval fruit fly.
Though nowhere near the size and complexity of a human brain, it still covers a respectable 548,000 connections between a total of 3,016 neurons.
The mapping identifies the different types of neurons and their pathways, including interactions between the two sides of the brain, and between the brain and ventral nerve cord. This brings scientists closer to understanding how the movements of signals from neuron to neuron lead to behavior and learning.
After debunking many myths around male and female brains, Gina Ripponâs research interests now include gender gaps in science and why they persist, even in allegedly gender-equal societies.
Posted in nanotechnology, neuroscience, physics
How does the brain retrieve memories, articulate words, and focus attention? Recent advances have provided a newfound ability to decipher, sharpen, and adjust electrical signals relevant to speech, attention, memory and emotion. Join Brian Greene and leading neuroscientists György BuzsĂĄki, Edward Chang, Michael Halassa, Michael Kahana and Helen Mayberg for a thrilling exploration of how weâre learning to read and manipulate the mind.
The Kavli Prize recognizes scientists for their seminal advances in astrophysics, nanoscience, and neuroscience â topics covered in the series âThe Big, the Small, and the Complex.â This series is sponsored by The Kavli Foundation and The Norwegian Academy of Science and Letters.
Participants:
Michael Halassa.
Edward Chang.
Michael Kahana.
Helen S. Mayberg.
György Buzsåki.
Moderator:
The formula for rational thinking explained by Harvard professor Steven Pinker.
Up next, The war on rationality âș https://youtu.be/qdzNKQwkp-Y
In his explanation of Bayesâ theorem, cognitive psychologist Steven Pinker highlights how this type of reasoning can help us determine the degree of belief we assign to a claim based on available evidence.
Bayesâ theorem takes into account the prior probability of a claim, the likelihood of the evidence given the claim is true, and the commonness of the evidence regardless of the claimâs truth.
