Dive into the fascinating world of Boltzmann Brains in our latest explainer video, “Boltzmann Brains: Consciousness in the Cosmos Explained!” 🌌 We unravel t…
Category: neuroscience – Page 294
Brain-Computer Interfaces
BCIs, Brain-Computer Interfaces, are no longer the technology of the future but of today. As this these devices improve and move from the lab to humans, what challenges and advantages will we gain, and how do they work?
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Credits:
Brain-Computer Interfaces.
Science & Futurism with Isaac Arthur.
Episode 296, June 24, 2021
Produced, written, and narrated by isaac arthur.
Editors:
Jerry Guern.
Keith Blockus.
Konstantin Sokerin.
Cover Art:
Human Brain vs. Artificial Intelligence: Reality and Prospects
The idea of creating machines that can think and act like humans is smoothly transforming from fiction to reality. Humanoid robots, digital humans, ChatGPT, and unmanned cars — today there are many applications driven by artificial intelligence that surpass humans in speed, accuracy, efficiency and tirelessness. But only in narrow areas so far.
And yet, this gives us hope to see a real miracle in the near future — artificial intelligence equal or superior to human intelligence in all parameters!
Can AI compare with us? Surpass us? Replace us? Deceive us and pursue its own goals? Today we will tell you how a miracle of nature such as the human brain differs from the main technology of the 21st century — artificial intelligence, and what prospects we have with AI in the future!
The journey of artificial intelligence (AI) is a captivating saga, dating back to 1956 when John McCarthy coined the term at a Dartmouth conference. Through the ensuing decades, AI witnessed three significant booms. Between the 1950s-70s, pioneers introduced groundbreaking neural perception networks and chat software. Though they foresaw AI surpassing human capabilities in a decade, this dream remained unfulfilled. By the 1980s, the second wave took shape, propelled by new machine learning techniques and neural networks, which promised innovations like speech recognition. Yet, many of these promises fell short.
But the tide turned in 2006. Deep learning emerged, and by 2016, AI systems like AlphaGo were defeating world champions. The third boom began, reinforced by large language models like ChatGPT, igniting discussions about amalgamating AI with humanoid robots. Discover more about this fascinating trend in our linked issue.
Our progress in cognitive psychology, neuroscience, quantum physics, and brain research has heavily influenced AI’s trajectory. Especially significant is our understanding of the human brain, pushing the boundaries of neural network development. Can AI truly emulate human cognition?
To understand this, we must comprehend neural networks, computer algorithms mimicking human brain functions. These virtual networks comprise \.
3D-printed nanopillars mimic brain environment to promote neuron growth
Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed. Researchers at the Delft University of Technology in The Netherlands (TU Delft) have developed a 3D-printed brain-like environment where neurons grow similarly to a real brain.
Using tiny nanopillars, they mimic the soft neural tissue and the brain extracellular matrix fibers. This model provides new insights into how neurons form networks, as well as a novel tool to understand in future how this process may change in neurological disorders such as Alzheimer’s, Parkinson’s disease, and autism spectrum disorders.
The work is published in the journal Advanced Functional Materials.
Fermi Paradox: ALL Intelligence is Artificial
An exploration of the idea that all true technological intelligence is inherently artificial in a sense, including the human brain. This has major implications on the Fermi Paradox and may be one of the strongest solutions of why when we search the heavens, we do not see evidence of alien life.
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Time Travel, Invisibility, and Teleportation… Are They Possible?(Can the Impossible Be Achieved)
#brain #brainhealth #discoveryourself #educationalyoutube #education #educationalvideo #health #healthtips.
#PhysicsOfTheImpossible.
#MichioKaku.
#TimeTravel.
#Teleportation.
#Invisibility.
#SciFiTech.
#ScientificImpossibilities.
#FutureTech.
#Physics Can the impossible be achieved scientifically? In this video, we explore the fascinating ideas from Physics of the Impossible by theoretical physicist Michio Kaku. We’ll discuss concepts like time travel, invisibility, and teleportation—could they become reality in the future?
If you’re a fan of science fiction and physics, this video is for you! Don’t forget to subscribe and turn on notifications for more exciting content.
📌 Topics Covered:
✔️ What is Physics of the Impossible?
✔️ The three categories of scientific impossibilities.
✔️ Is time travel possible?
✔️ Sci-fi technologies that may become real.
📚 Sources & References:
Physics of the impossible by michio kaku.
Amazon link to the book.
How Your Brain Chooses What to Remember
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My name is Artem, I’m a graduate student at NYU Center for Neural Science and researcher at Flatiron Institute.
In this video, we explore how the brain tags which memories to keep and the role of a special brain wave – a hippocampal sharp-wave ripple in this process.
Paper full text: https://www.science.org/doi/10.1126/s… https://winnieyangwannan.github.io/Ri… Outline: 00:00 Introduction 01:11 Sharp-Wave Ripples 04:38 Memory Consolidation 6:36 Experimental Setup 07:58 UMAP & Population Activity 10:33 Maze Manifold 12:02 Decoding Ripple Content 13:57 Putting it together 15:42 Brilliant.org 16:56 Outro Clip with dancers: • Jerome Robbins’ The Concert — Mistake… Icons by Freepik and Biorender This video was sponsored by Brilliant.
Website: https://winnieyangwannan.github.io/Ri…
Outline:
Sam Harris and Roger Penrose | Consciousness, split brains, and the illusion of the Self
Sam Harris and Roger Penrose discuss the mysteries of consciousness and selfhood.
Is the Self merely an illusion?
With a free trial, you can watch the full debate NOW at https://iai.tv/video/the-divided-self-sam-harris-roger-penro…escription.
Many have sought to divide the self into separate parts. From Aristotle’s distinction between the rational and irrational self to Freud’s separation of the conscious and unconscious mind, from Kahneman’s fast and slow self to McGilchrist’s selves of the left and right brain. But critics argue it makes no sense to see the self as divided. From Descartes to Sartre, many philosophers have concluded that to be conscious is to be conscious of something and there can be no further self hiding within consciousness. After all, if there are two aspects of the self does it not require a third to oversee or combine them? Meanwhile, neuroscience has been unable to identify a self at all let alone multiple selves.
Should we give up the idea of distinct selves as simply incoherent? Should we conclude that a single self is necessary to account for conscious experience and to enable responsibility for action? Or are multiple selves a better way to explain the wildly divergent thoughts and contradictory behaviours that we can sometimes exhibit?
#consciousness #samharris #rogerpenrose.
Genetics, Not Maternal Sickness, Drives Autism Risk
Health during pregnancy does not cause autism, according to a study of 1.1M pregnancies. Genetics and fetal complications play a much larger role, challenging long-held assumptions about autism risk factors. +.
Summary: A large study analyzing over 1.1 million pregnancies found no strong evidence that maternal health conditions during pregnancy cause autism. Instead, nearly all previously reported associations between maternal diagnoses and autism could be explained by genetic or environmental factors.
Researchers found that only fetal complications remained statistically linked to autism, suggesting these issues might be early signs rather than causes. By analyzing sibling and paternal health records, the study further ruled out many maternal conditions as contributing factors.
The findings emphasize that autism likely begins before birth due to genetic influences rather than maternal health conditions. This research may help alleviate guilt for parents and shift focus toward early diagnosis and support.