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Loneliness isn’t just about being alone—it can happen even in relationships. People in unhappy marriages or toxic relationships can suffer from emotional loneliness despite having a social network, showing that quality of relationships matters more than quantity.

Understanding loneliness as multidimensional has significant implications for clinical practice. EL is more strongly associated with mental health conditions such as depression and anxiety. In contrast, SL is less directly linked to psychological distress but remains an indicator of social disconnection. Meta-analyses of loneliness interventions have shown that generic approaches often fail because they do not differentiate between EL and SL, leading to inconsistent results. Cross-sectional studies indicate that EL contributes to depressive symptoms more than SL, and longitudinal research suggests that EL has a stronger predictive value for long-term mental health deterioration. In contrast, SL can often be addressed through social interventions that encourage group participation and community engagement.

Loneliness has profound implications for physical health and mortality risk. Longitudinal studies show that EL, in particular, is associated with increased mortality rates, even after controlling for medical conditions and demographic factors. One explanation is that EL triggers chronic stress responses, leading to adverse physiological effects such as inflammation and weakened immune function. For example, a five-year study of nursing home residents found that EL, but not SL, was a significant predictor of earlier mortality, reinforcing its unique impact on health. While SL also presents health risks, its impact on mortality appears to be less severe than that of EL.

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:

Researchers discovered that amyloid precursor protein interacts with talin to maintain synaptic stability. Disruptions in this interaction may lead to Alzheimer’s disease by impairing mechanical signaling, triggering synaptic degeneration, and promoting amyloid plaque formation.

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 \.

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.

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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#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.

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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/shttps://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 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.