A three-dimensional soft electronic sensor and stimulator array that is integrated with a three-dimensional cultured neural network can be used to record action potential from multiple planes over a period of 6 months, monitor evolving connectivity maps and pharmacological responses, as well as construct a reservoir neural network for biocomputing.
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We tend to imagine there are connectings between things that we don’t understand. Quantum mechanics and consciousness, aliens and pyramids, black holes and dark matter, dark matter and dark energy, dark energy and black holes. Usually there’s no real relationship whatsoever, but this last pair—black holes and dark energy being the same thing—has received some recent hype in the press. Let’s see if it might actually be true.
Episodes referenced companion playlist: • what if black hole ARE dark energy? | comp…
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The world is entering an era where “technology” and “living organisms” merge into one. Most recently, in 2026, a research team from Northwestern University created a landmark breakthrough by developing “Printed Neurons.” These are not designed just to mimic biology—they can actually “transmit signals” to communicate with living brain cells!
Why is this a big deal?
Typically, the silicon-based computers we use today operate entirely differently from the human brain. Computers consume massive amounts of power and are rigid. In contrast, our brains use only about 20 watts (less than some lightbulbs) and are incredibly flexible.
Creating artificial neurons that “speak the same language as the brain” is the key to treating diseases that were once considered incurable.
Innovations in “Electronic Ink” and “3D Printing“
At the heart of this research lies a leap forward in materials science and engineering:
• Nanomaterials (MoS₂ and Graphene): Researchers used these materials to create a specialized “ink” for printing neural networks. These materials are unique for being both flexible and excellent conductors of electricity.
• Aerosol Jet Printing: This technology allows for nano-level precision printing on flexible plastic sheets, designed to contour perfectly to human tissue.
• Biomimicry: These artificial cells can generate electrical signals called “Spikes,” matching the rhythm and speed of actual biological neurons.
Proven! Successful Communication with a “Mouse Brain“
The research team tested the connection between these printed neurons and mouse brain tissue. The results showed that the mouse brain cells could receive and respond to signals from the artificial device as if they were from their own kind. This is vital evidence that humans can create devices that interface seamlessly with the nervous system.
Printed artificial neurons reported by Northwestern University can produce neuron-like electrical spikes and trigger responses in living mouse brain tissue. This video explains what was shown, why it matters for brain-like computing and future neural interfaces, and why it is still early laboratory research, not a human implant.
Sources:
Northwestern Now: https://news.northwestern.edu/stories…
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Nature Nanotechnology: https://www.nature.com/natnanotech/
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Northwestern University engineers developed flexible, printed artificial neurons that communicate directly with living brain cells, marking a major breakthrough for brain-machine interfaces and neuroprosthetics. Using aerosol jet printing with materials like molybdenum disulfide, these devices generate signals that trigger responses in mouse brain tissue.
#neurons #braincells #wion.
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What if the human brain could be mapped, simulated… and eventually run like software?
Scientists have already mapped a single cubic millimeter of the human brain, generating a staggering 1.4 petabytes of data. But that’s just the beginning.
In this video, we break down:
The rise of connectomics and full brain mapping
How AI reconstructs neurons from petavoxel-scale data
Why a brain map alone isn’t enough to recreate intelligence
The emergence of digital brain twins
And how models like ZAPBench are predicting brain activity like a weather forecast.
From the complete neural wiring of a fruit fly to simulations like OpenWorm, we are entering an era where biology meets computation.
This isn’t science fiction anymore. It’s engineering.
The Big Why explores the cutting edge of science and technology: Artificial Brains! 🧠🤖 In this mind-blowing video, we dive into the quest to replicate the human brain’s complexity and power in a machine.
Discover the various approaches scientists are taking, from simulating neural networks to building brain-like hardware. We’ll examine the potential of this technology to revolutionize medicine, robotics, and even our understanding of consciousness.
But we won’t shy away from the big questions either: Could artificial brains surpass human intelligence? What are the ethical implications of creating conscious machines? Join us as we ponder the future of AI and the potential for a technological singularity.
#ArtificialBrain #AI #Neuroscience #Robotics #FutureTech #Consciousness #Singularity #thebigwhy
00:00 — Intro
01:33 — Overview
03:39 — Approaches to Brain Simulation
06:02 — Artificial Brain Thought Experiment
07:40 — Outro.
Artificial Neurons That Talk to the Brain? A Major Breakthrough in Neurotechnology
What if machines could communicate directly with your brain?
Scientists at Northwestern University have developed *printed artificial neurons* that can interact with real brain cells—sending signals that closely mimic natural neural activity. This breakthrough could redefine how we treat neurological disorders and build the next generation of energy-efficient AI systems.
In this video, we explore how these artificial neurons work, how they were tested on real brain tissue, and why this discovery could lead to revolutionary technologies like brain-machine interfaces and neuromorphic computing.
🔬 *What you’ll learn:*
How artificial neurons mimic real brain signals
Why traditional computing struggles with energy efficiency
The role of advanced materials like graphene and MoS₂
How this technology could restore vision, hearing, or movement
What neuromorphic computing means for the future of AI
🚀 *Why this matters:*
#HumanBehavior.
This Video is For Educational Purpose Only… It doesn’t have to be true in anyway. Everything is based on ones opinions and not a false narration.
This video examines the psychological factors behind strong political loyalty, using support for Trump as a case study. Based on findings from behavioral science and social psychology, it explores why some people continue to defend beliefs even when faced with opposing evidence.
Topics covered include cognitive dissonance, identity-protective thinking, and social dominance orientation—concepts that help explain how people process information, protect group identity, and remain committed to a political worldview.
This is not a partisan attack or political endorsement. It is an exploration of human behavior, showing how emotion, identity, and perception often shape decisions more powerfully than facts alone.
If you want to better understand why changing minds is so difficult in politics, this video provides a thoughtful, research-informed perspective.
The GSN SNN 4−10−30−2 is a hardware based spiking neural network that can autonomous control a remote control robot vehicle. There are 10 artificial neurons and 30 artificial synapses, and is built on 16 full-size breadboards. Four infrared proximity sensor are used on top of the vehicle to determine how far it is away from objects and walls. The sensor data is used as inputs into the first later of neurons.
A full circuit level diagram of the neural network is provided, as well as an architecture diagram. The weights on the network are set based on the resistance value. The synapses allow the weights to be set as excitatory or inhibitory.
Testing of the network went great and the robot had much smoother control than previous testing as the output now has an analog output.
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