Mind reading AI, oh my!

[Sparko]

Yeah, definitely possible - I acknowledged things could improve in my first response in this thread. It's just a hard problem. It's easy to get detailed, real time, higher resolution data, but it requires brain surgery to stick electrodes into someone's head. And we can get real time but very low resolution data by sticking a bunch of electrodes on someone's scalp. So, there's definitely a lot of work being put into several parallel approaches, but I've not seen any indication of rapid advances in any of them.

And it would be really nice to see progress, since there's a lot of medical conditions where better tech this sort could be life changing for a lot of people.

Maybe AI can enhance the resolution of the external electrode setup, similar to the way AI can enhance the resolution of pictures using predictive techniques. And really they only need to be able to read two areas, the speech center and the motor cortex. The later for helping disabled people move artificial limbs and such.

Scientists read brain waves to recreate Pink Floyd's Another Brick in the Wall. This uses just external electrodes and software and not fMRI or implanted electrodes. So basically this means such devices can be made smaller as the technology progresses. Still really rough and low res but it shows the technology is moving forward pretty quickly.

[shunyadragon]

Well, fMRI has been around for over 30 years. It's gotten better in terms of resolution since that time in the same way that transistors improved since their invention. But no alternative technology's come along that can give us the same information without a room-sized supercooled magnet yet.

I do not consider this AI technology truly mind reading. It is the same thing that humans do all the time inferring further formation from limited information provided by the person. People do not realize how transparent they are in interactions of everyday life, AI is just becoming more sophisticated at doing this.

[shunyadragon]

There is a significant advance in technology where the images people see can be traced, monitored, and repeated the images using brain scans. What these and other similar advances in AI and other technology achieve is linking consciousness and intelligence to the direct function of the brain.

Source: https://www.science.org/content/article/ai-re-creates-what-people-see-reading-their-brain-scans

AI re-creates what people see by reading their brain scans

A new artificial intelligence system can reconstruct images a person saw based on their brain activity

7 MAR 2023 BYKAMAL NAHAS
As neuroscientists struggle to demystify how the human brain converts what our eyes see into mental images, artificial intelligence (AI) has been getting better at mimicking that feat. A recent study, scheduled to be presented at an upcoming computer vision conference, demonstrates that AI can read brain scans and re-create largely realistic versions of images a person has seen. As this technology develops, researchers say, it could have numerous applications, from exploring how various animal species perceive the world to perhaps one day recording human dreams and aiding communication in people with paralysis.

Many labs have used AI to read brain scans and re-create images a subject has recently seen, such as human faces and photos of landscapes. The new study marks the first time an AI algorithm called Stable Diffusion, developed by a German group and publicly released in 2022, has been used to do this. Stable Diffusion is similar to other text-to-image “generative” AIs such as DALL-E 2 and Midjourney, which produce new images from text prompts after being trained on billions of images associated with text descriptions.

For the new study, a group in Japan added additional training to the standard Stable Diffusion system, linking additional text descriptions about thousands of photos to brain patterns elicited when those photos were observed by participants in brain scan studies.

© Copyright Original Source

[Sparko]

There is a significant advance in technology where the images people see can be traced, monitored, and repeated the images using brain scans. What these and other similar advances in AI and other technology achieve is linking consciousness and intelligence to the direct function of the brain.

Source: https://www.science.org/content/article/ai-re-creates-what-people-see-reading-their-brain-scans

AI re-creates what people see by reading their brain scans

A new artificial intelligence system can reconstruct images a person saw based on their brain activity

7 MAR 2023 BYKAMAL NAHAS
As neuroscientists struggle to demystify how the human brain converts what our eyes see into mental images, artificial intelligence (AI) has been getting better at mimicking that feat. A recent study, scheduled to be presented at an upcoming computer vision conference, demonstrates that AI can read brain scans and re-create largely realistic versions of images a person has seen. As this technology develops, researchers say, it could have numerous applications, from exploring how various animal species perceive the world to perhaps one day recording human dreams and aiding communication in people with paralysis.

Many labs have used AI to read brain scans and re-create images a subject has recently seen, such as human faces and photos of landscapes. The new study marks the first time an AI algorithm called Stable Diffusion, developed by a German group and publicly released in 2022, has been used to do this. Stable Diffusion is similar to other text-to-image “generative” AIs such as DALL-E 2 and Midjourney, which produce new images from text prompts after being trained on billions of images associated with text descriptions.

For the new study, a group in Japan added additional training to the standard Stable Diffusion system, linking additional text descriptions about thousands of photos to brain patterns elicited when those photos were observed by participants in brain scan studies.

© Copyright Original Source

cool.

[shunyadragon]

One of the complicated problems with relating the physical brain with consciousness and behavior is the actual ability to map this relationship. Science found a way to map this relationship in all animals including humans by studying this relationship in a worm at the simplest level.

Source: https://scitechdaily.com/neural-navigators-how-mit-cracked-the-code-that-relates-brain-and-behavior-in-a-simple-animal/

Neural Navigators: How MIT Cracked the Code That Relates Brain and Behavior in a Simple Animal

MIT researchers model and map how neurons across the tiny brain of a C. elegans worm encode its behaviors, revealing many new insights about the robustness and flexibility of its nervous system

To understand the intricate relationship between brain activity and behavior, scientists have needed a way to map this relationship for all of the neurons across a whole brain. Thus far this has been an insurmountable challenge. But after inventing new technologies and methods for the purpose, a team of scientists in The Picower Institute for Learning and Memory at MIT has produced a meticulous accounting of the neurons in the tractably tiny brain of a humble C. elegans worm, mapping out how its brain cells encode almost all of its essential behaviors, such as movement and feeding.


In the journal Cell on August 21, the team presented new brain-wide recordings and a mathematical model that accurately predicts the versatile ways that neurons represent the worm’s behaviors. Applying that model specifically to each cell, the team produced an atlas of how most cells, and the circuits they take part in, encode the animal’s actions. The atlas, therefore, reveals the underlying “logic” of how the worm’s brain produces a sophisticated and flexible repertoire of behaviors, even as its environmental circumstances change.
Insights from the Research


“This study provides a global map of how the animal’s nervous system is organized to control behavior,” said senior author Steven Flavell, Associate Professor in MIT’s Department of Brain and Cognitive Sciences. “It shows how the many defined nodes that make up the animal’s nervous system encode precise behavioral features, and how this depends on factors like the animal’s recent experience and current state.”

Graduate students Jungsoo Kim and Adam Atanas, who each earned their PhDs this spring for the research, are the study’s co-lead authors.

© Copyright Original Source

[Sparko]

One of the complicated problems with relating the physical brain with consciousness and behavior is the actual ability to map this relationship. Science found a way to map this relationship in all animals including humans by studying this relationship in a worm at the simplest level.

Source: https://scitechdaily.com/neural-navigators-how-mit-cracked-the-code-that-relates-brain-and-behavior-in-a-simple-animal/

Neural Navigators: How MIT Cracked the Code That Relates Brain and Behavior in a Simple Animal

MIT researchers model and map how neurons across the tiny brain of a C. elegans worm encode its behaviors, revealing many new insights about the robustness and flexibility of its nervous system

To understand the intricate relationship between brain activity and behavior, scientists have needed a way to map this relationship for all of the neurons across a whole brain. Thus far this has been an insurmountable challenge. But after inventing new technologies and methods for the purpose, a team of scientists in The Picower Institute for Learning and Memory at MIT has produced a meticulous accounting of the neurons in the tractably tiny brain of a humble C. elegans worm, mapping out how its brain cells encode almost all of its essential behaviors, such as movement and feeding.


In the journal Cell on August 21, the team presented new brain-wide recordings and a mathematical model that accurately predicts the versatile ways that neurons represent the worm’s behaviors. Applying that model specifically to each cell, the team produced an atlas of how most cells, and the circuits they take part in, encode the animal’s actions. The atlas, therefore, reveals the underlying “logic” of how the worm’s brain produces a sophisticated and flexible repertoire of behaviors, even as its environmental circumstances change.
Insights from the Research


“This study provides a global map of how the animal’s nervous system is organized to control behavior,” said senior author Steven Flavell, Associate Professor in MIT’s Department of Brain and Cognitive Sciences. “It shows how the many defined nodes that make up the animal’s nervous system encode precise behavioral features, and how this depends on factors like the animal’s recent experience and current state.”

Graduate students Jungsoo Kim and Adam Atanas, who each earned their PhDs this spring for the research, are the study’s co-lead authors.

© Copyright Original Source

Well it only has 302 neurons, so..

But still interesting.

[shunyadragon]

Well it only has 302 neurons, so..

But still interesting.

If you read the article carefully it is not the size of the animal or the number of neurons involved. The issue is the process that MIT Cracked the Code That Relates to Brain and Behavior. They were able to do this in a small simple animal, but this process is the same in all animals including humans,