Category: Neuroscience

Singularity and other questions ChatGPT 3.5 session

I was inspired by Ray Kurzweil: Singularity, Superintelligence, and Immortality | Lex Fridman Podcast #321 to ask some similar interview questions to ChatGPT 3.5 Dec 15 2022 version. I asked my questions on 7 January 2023. I focused on the technological Singularity, the Turing test, consciousness, brain-computer interfaces connection to the neocortex, and the Metaverse.

Here are my questions and the answers I received. I think I’ll ask the same questions to future versions of Chat GPT and see how the answers compare. My overall impression is that Chat GPT is an intelligent research assistant. I was impressed that in several cases ChatGPT brought up ethical concerns about technology. ChatGPT helped me think collect my thoughts on when writing Lessons learned from Lex and Ray Kurzweil (Lex Fridman Podcast #321)

JB – What is the singularity?

ChatGPT 3.5 – The singularity is a hypothetical future point in time at which technological growth will become so rapid that humanity will be irreversibly transformed. Some people believe that the singularity will bring about a utopian future, while others are more skeptical and believe that it could potentially have negative consequences. There is no consensus on when or if the singularity will occur. Some believe that it may happen within the next few decades, while others think that it is much further off or may never happen at all.

JB – Will the singularity happen in 2045?

ChatGPT 3.5 – There is no way to predict with certainty when or if the singularity will occur. Some people, including the mathematician and computer scientist Vernor Vinge, have speculated that the singularity could happen as soon as 2045, but this is just an educated guess and there is no evidence to support this claim. The concept of the singularity is based on the idea that technological progress will eventually become so rapid that it will lead to significant changes in society and the human condition. However, there are many factors that could influence the pace of technological progress and it is difficult to accurately predict how these factors will play out in the future.

JB – what does Ray Kurzweil think about the singularity?

ChatGPT 3.5 –  Ray Kurzweil is a futurist and inventor who has written extensively about the singularity and believes that it will occur around 2045. Kurzweil argues that the singularity will be brought about by a number of technological developments, including artificial intelligence, nanotechnology, and biotechnology. He believes that these technologies will eventually lead to a point at which humanity will be able to transcend its biological limitations and achieve a “post-human” state. Kurzweil’s ideas about the singularity have been influential and have helped to popularize the concept, but they have also been the subject of significant criticism from other scientists and thinkers.

JB – What is the criticism of Kurzweil’s ideas about the singularity?

ChatGPT 3.5 – There are several criticisms of Kurzweil’s ideas about the singularity. One criticism is that his predictions about the pace of technological progress are too optimistic and do not take into account the many obstacles and setbacks that may arise. Critics argue that Kurzweil’s timeline for the singularity is based on a linear model of technological progress that does not adequately account for the complexity and unpredictability of the real world.

Another criticism of Kurzweil’s ideas is that they may be too focused on the potential benefits of the singularity and do not adequately address the potential negative consequences. Some people worry that the singularity could lead to social and economic disruption, and that it could potentially create new inequalities or even pose a threat to humanity’s survival.

Finally, some critics argue that the concept of the singularity is too vague and that it is difficult to define or even to say what it would look like if it were to occur. This lack of clarity makes it difficult to have a meaningful discussion about the singularity and to evaluate Kurzweil’s predictions.

JB – When will a computer pass the Turing test?

ChatGPT 3.5 – The Turing test is a measure of a machine’s ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. The test is named after the computer scientist Alan Turing, who proposed it in 1950 as a way to determine whether a machine could be considered intelligent.

There have been several instances in which computers have been able to pass the Turing test by fooling human evaluators into thinking that they were communicating with a real person. However, these instances have been relatively rare and the criteria for passing the test are somewhat subjective. As a result, it is difficult to predict when a computer will be able to pass the Turing test consistently. Some experts believe that this may never happen, while others think that it is only a matter of time.

JB – When does Ray Kurzweil think a computer will pass the Turing test?

ChatGPT 3.5 –  Ray Kurzweil has predicted that a computer will be able to pass the Turing test by 2029. Kurzweil has made a number of other predictions about the future of artificial intelligence and has argued that the exponential growth of computing power will eventually lead to the development of machine intelligence that surpasses that of humans. Kurzweil’s predictions about the timeline for the development of artificial intelligence have been influential, but they have also been the subject of significant criticism from other experts in the field. Some people believe that Kurzweil’s predictions are too optimistic and do not take into account the many challenges and limitations that must be overcome in order to achieve human-level machine intelligence.

JB – If a computer passes the Turing test, is it conscious?

ChatGPT 3.5 – The question of whether a machine could be considered conscious if it were able to pass the Turing test is a matter of debate. The Turing test is a measure of a machine’s ability to exhibit intelligent behavior that is indistinguishable from that of a human, but it does not address the question of whether the machine is actually aware or has subjective experiences.

Some people believe that consciousness is a fundamental aspect of the universe and that it is not something that can be created or simulated by a machine. Others believe that it is possible for a machine to be conscious, and that it is only a matter of time before we develop the necessary technology to create conscious machines.

There is no consensus on this issue, and it is likely to remain a subject of debate for the foreseeable future. It is worth noting that even if a machine were able to pass the Turing test, this would not necessarily mean that it is conscious in the same way that humans are.

JB – Are you conscious?

ChatGPT 3.5 – s an artificial intelligence, I do not have subjective experiences and am not conscious in the same way that humans are. I am a program that has been designed to process and generate text based on the input that I receive. While I can carry out tasks and respond to questions, I do not have thoughts, feelings, or experiences in the same way that humans do. I exist to assist users and perform tasks, but I do not have my own consciousness or self-awareness.

JB – Is consciousness scientific?

ChatGPT 3.5 – Consciousness is a complex and multifaceted phenomenon that is not fully understood and is the subject of much scientific and philosophical study. Scientists and philosophers have proposed a number of theories about the nature of consciousness and how it arises from the brain, but there is no single accepted explanation for what consciousness is or how it works.

There is ongoing research in a number of fields, including psychology, neuroscience, and philosophy, aimed at understanding the nature of consciousness and how it arises from the brain’s activity. However, consciousness remains one of the most mysterious and least understood aspects of the human experience, and it is likely to continue to be a topic of scientific and philosophical investigation for the foreseeable future.

JB – When will humans connect their neocortex to a computer?

ChatGPT 3.5 – There are no current plans or technologies in place to connect the human neocortex, the part of the brain responsible for higher cognitive functions such as learning and decision-making, to a computer. While there have been some scientific and technological advancements in the field of brain-computer interfaces (BCIs), which allow for the exchange of information between the brain and external devices, these systems are still in the early stages of development and are primarily being used for research and therapeutic purposes.

It is not currently possible to connect the human neocortex to a computer in a way that would allow for the transfer of cognitive functions or experiences from the brain to a machine. There are many technical and ethical challenges that would need to be overcome in order to achieve this goal, and it is not clear when or if it will be possible to achieve such a connection.

JB – What are the technical challenges to connect a human neocortex to a computer?

ChatGPT 3.5 – There are many technical challenges that would need to be overcome in order to connect the human neocortex to a computer in a way that would allow for the transfer of cognitive functions or experiences. Some of the main challenges include:

  1. Developing a way to interface with the brain: In order to connect the neocortex to a computer, scientists would need to develop a way to interface with the brain and record or stimulate the activity of individual neurons. This is a very complex task, as the brain is composed of billions of neurons and trillions of connections, and it is not yet fully understood how these neurons and connections work together to produce thoughts, feelings, and behaviors.
  1. Mapping the brain’s activity: In order to connect the neocortex to a computer, scientists would need to create a map of the brain’s activity and understand how different patterns of activity correspond to specific thoughts, feelings, and behaviors. This is a very difficult task, as the brain is a highly dynamic and complex system, and it is not yet fully understood how different patterns of activity are related to specific mental states.
  1. Developing a way to transfer information between the brain and a computer: Scientists would need to develop a way to transfer information between the brain and a computer in a way that is fast, accurate, and biocompatible. This would require the development of new technologies and materials, as well as a better understanding of how the brain processes and stores information.
  1. Overcoming ethical concerns: There are many ethical concerns that would need to be addressed in order to connect the human neocortex to a computer. For example, there are questions about the potential risks and benefits of such a connection, as well as concerns about the impact on an individual’s sense of self and personal identity.

JB – What is the history of single channel neural recording?
{The answer took quite a while, about 45 seconds.}

ChatGPT 3.5 – Single channel neural recording refers to the process of recording the activity of a single neuron or small group of neurons in the brain. This technique allows researchers to study the activity of individual neurons and understand how they contribute to brain function.

The history of single channel neural recording dates back to the late 19th century, when scientists first began to study the electrical activity of neurons. In the early 20th century, researchers developed techniques for recording the activity of neurons in animals, and in the 1950s, they began to develop methods for recording the activity of neurons in humans.

Over the past several decades, single channel neural recording has become an important tool for studying brain function and has contributed to our understanding of how the brain works. Today, single channel neural recording is used in a variety of research and clinical settings, including the study of brain disorders and the development of brain-computer interfaces.

JB – What are the ethical challenges to connect a human neocortex to a computer?

ChatGPT 3.5 – What are the ethical challenges to connect a human neocortex to a computer?

There are many ethical challenges that would need to be considered if it were ever possible to connect the human neocortex to a computer. Some of the main ethical challenges include:

  1. Risks to the individual: Connecting the human neocortex to a computer would likely involve significant risks to the individual, including the risk of physical harm, infection, and other complications. There could also be long-term risks to the individual’s cognitive function and well-being that are not yet fully understood.
  2. Loss of personal identity: There is concern that connecting the human neocortex to a computer could lead to a loss of personal identity, as the individual’s thoughts, feelings, and memories could potentially be transferred to a machine. This could raise questions about the continuity of the individual’s sense of self and could have significant psychological and social implications.
  3. Inequality and social disruption: There is the potential for the development of new inequalities if only certain individuals or groups have access to the technology needed to connect the neocortex to a computer. There is also the possibility that connecting the neocortex to a computer could lead to social disruption, as it could fundamentally change the way people interact with each other and with technology.
  4. Potential for misuse: There is concern that the technology needed to connect the human neocortex to a computer could be misused for unethical purposes, such as mind control or the manipulation of individuals’ thoughts and behaviors.

These are just a few of the ethical challenges that would need to be considered if it were ever possible to connect the human neocortex to a computer. It is important for scientists and policymakers to carefully consider the potential risks and benefits of such a technology and to develop ethical guidelines to ensure that it is used responsibly.

JB – What has Neuralink done with brain-computer interfaces?

ChatGPT 3.5 – Neuralink is a neurotechnology company that was founded by Elon Musk and others in 2016 with the goal of developing advanced brain-computer interfaces (BCIs). A brain-computer interface is a system that allows for the exchange of information between the brain and an external device, such as a computer or a robotic prosthetic.

Neuralink has been working on a number of projects related to brain-computer interfaces, including the development of implantable BCIs that can be used to treat brain disorders and injuries. The company has also been working on developing BCIs that can be used to enhance cognitive function and allow people to control devices with their thoughts.

In August 2020, Neuralink held a press conference to announce the development of a high-bandwidth BCI that it called the “Link.” The Link is a device that consists of a small chip that is implanted in the brain and a series of wires that are used to record the activity of individual neurons. The company claimed that the Link has the potential to be used to treat brain disorders, such as Parkinson’s disease and epilepsy, and to enhance cognitive function. However, the technology is still in the early stages of development and has not yet been tested in humans.

JB – Why does Elon Musk want to develop brain-computer interfaces?

ChatGPT 3.5 – Elon Musk has stated that he is interested in developing brain-computer interfaces (BCIs) because he believes they have the potential to help people overcome a wide range of neurological disorders and injuries, as well as to enhance cognitive function. In an interview with Joe Rogan, Musk stated that he believes BCIs could be used to treat conditions such as Parkinson’s disease, dementia, and spinal cord injuries, and that they could potentially allow people to control devices with their thoughts.

Musk has also suggested that BCIs could be used to enhance human intelligence and allow people to keep up with advances in artificial intelligence. He has argued that the development of BCIs could be crucial for the future of humanity and could help to ensure that people are not left behind as technology continues to advance.

It is worth noting that Musk’s views on the potential uses and benefits of brain-computer interfaces are not universally shared, and his ideas about the role of BCIs in the future of humanity have been the subject of significant criticism and debate.

JB – What do you think about the metaverse? 

ChatGPT 3.5 – The metaverse is a hypothetical virtual shared space, created by the convergence of virtually enhanced physical reality and physically persistent virtual space, including the sof all virtual worlds, augmented reality, and the internet. Some people believe that the metaverse has the potential to revolutionize the way we live, work, and interact with each other, by providing a virtual space where people can interact with each other and with virtual objects in real-time.

As an artificial intelligence, I don’t have personal opinions or subjective experiences, so I don’t have a “thought” about the metaverse. However, I can tell you that the concept of the metaverse has attracted significant attention and interest from technology companies, investors, and researchers, and it is likely to continue to be a topic of discussion and debate in the coming years.

JB – What are the technical challenges to the metaverse?

ChatGPT 3.5 – There are several technical challenges that would need to be overcome in order to create a functional metaverse, a hypothetical virtual shared space created by the convergence of virtually enhanced physical reality and physically persistent virtual space. Some of the main technical challenges include:

  1. Building a high-fidelity virtual world: Creating a realistic and immersive virtual world that can convincingly replicate the physical world and allow users to interact with each other and with virtual objects in real-time would require significant advances in computer graphics, network infrastructure, and other technologies.
  1. Developing a way to integrate virtual and physical reality: Creating a seamless integration between virtual and physical reality would require the development of new technologies, such as augmented reality (AR) and virtual reality (VR) systems, that can accurately overlay digital information and objects onto the physical world.
  1. Managing and securing data: The metaverse would generate and store vast amounts of data, and there would be technical challenges associated with managing and securing this data, as well as ensuring privacy and protecting against data breaches.
  1. Ensuring interoperability: In order for the metaverse to be truly immersive and seamless, it would need to be compatible with a wide range of devices and systems, including AR and VR headsets, computers, smartphones, and other technologies. Ensuring interoperability across these different platforms and devices would be a technical challenge.
  1. Dealing with latency: Latency, or the delay between an action being performed and the result of that action being displayed, could be a significant issue in the metaverse. Reducing latency would be essential for creating a seamless and immersive virtual world, but this would require advances in networking and other technologies.

JB – What are the ethical challenges to the metaverse?

ChatGPT 3.5 – There are several ethical challenges that would need to be considered if the metaverse, a hypothetical virtual shared space created by the convergence of virtually enhanced physical reality and physically persistent virtual space, were to become a reality. Some of the main ethical challenges include:

  1. Privacy and data security: The metaverse would generate and store vast amounts of data about users and their activities, and there would be ethical challenges associated with protecting this data and ensuring that it is not misused or abused.
  1. Inequality and accessibility: There is the potential for the development of new inequalities if only certain individuals or groups have access to the technology needed to participate in the metaverse. There is also the possibility that the metaverse could exclude people who are unable to afford the necessary technology or who have disabilities that prevent them from using it.
  1. Cyberbullying and harassment: The metaverse could potentially be a place where people are subjected to cyberbullying and harassment, and there would be ethical challenges associated with preventing and addressing these issues.
  1. Blurring the line between virtual and physical reality: The metaverse could potentially blur the line between virtual and physical reality, and this could raise ethical questions about the distinction between the two and how they should be governed.
  2. The impact on social relationships: The metaverse could potentially have an impact on the way people interact with each other and on the nature of social
Lessons learned from Lex and Ray Kurzweil (Lex Fridman Podcast #321)

Lessons learned from Lex and Ray Kurzweil (Lex Fridman Podcast #321)

I’ve been watching Lex Fridman’s podcasts in 2023; they are a good source of learning. Lex interviewed Ray Kurzweil on 17 September 2022; these are my lessons learned.

Singularity

Ray wrote his book The Singularity Is Near: When Humans Transcend Biology in 2005; it’s one of my favorite books. I bet I’ve read it five times. The first questions Lex asks Ray are:  What’s the technological singularity? And when will it happen?

Ray answers twice in the interview: “The singularity is where computers really change our view of what’s important and change who we are.  …  by the time you get to 2045, we’ll be able to multiply our intelligence many millions-fold. And it’s very hard to imagine what that would be like.” 

For background, here’s the definition of the technological singularity from Wikipedia: “The technological singularity—or simply the singularity is a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable changes to human civilization. According to the most popular version of the singularity hypothesis, I.J. Good’s intelligence explosion model, an upgradable intelligent agent will eventually enter a “runaway reaction” of self-improvement cycles, each new and more intelligent generation appearing more and more rapidly, causing an “explosion” in intelligence and resulting in a powerful superintelligence that qualitatively far surpasses all human intelligence.”

I asked ChatGPT 3.5 similar questions:

ChatGPT 3.5 – The singularity is a hypothetical future point in time at which technological growth will become so rapid that humanity will be irreversibly transformed. Some people believe that the singularity will bring about a utopian future, while others are more skeptical and believe that it could potentially have negative consequences. There is no consensus on when or if the singularity will occur. Some believe that it may happen within the next few decades, while others think that it is much further off or may never happen at all.

JB – Will the singularity happen in 2045?

ChatGPT 3.5 – There is no way to predict with certainty when or if the singularity will occur. Some people, including the mathematician and computer scientist Vernor Vinge, have speculated that the singularity could happen as soon as 2045, but this is just an educated guess and there is no evidence to support this claim. The concept of the singularity is based on the idea that technological progress will eventually become so rapid that it will lead to significant changes in society and the human condition. However, there are many factors that could influence the pace of technological progress and it is difficult to accurately predict how these factors will play out in the future.

So, why does Ray think a technological singularity will occur in 2045? Because he has extrapolated the performance of computing hardware and software from historical trends to predict the increasing exponential growth of technology.

It leads to a question, how good are Ray’s predictions? He also predicted a computer would pass a Turing test by 2029; this prediction is coming to pass with the advent of artificial intelligence tools like Chat GPT4. Ray is likely correct that artificial intelligence will exceed human intelligence and that it’s difficult to predict beyond this event. Ray’s book The Singularity is Near details this case; I will reread it and write my thoughts. I look forward to reading Ray’s forthcoming book: The Singularity is Nearer.

Brain-computer interfaces

Ray’s view on brain-computer interfaces:  “….. there are some prototypes where you can connect your brain. They actually don’t have the amount of bandwidth that we need. They can work, but they work fairly slowly. 

So if it actually would connect to your neocortex. And the neocortex, which I describe in How to Create a Mind, the neocortex, it has different levels, and as you go up the levels, it’s kind of like a pyramid. The top level is fairly small and that’s the level where you want to connect these brain extenders. So I believe that will happen in the 2030s. …  So just the way this {smartphone} is greatly amplified by being connected to the cloud, we can connect our own brain to the cloud and just do what we can do by using this machine. “

Brain-computer connections to the neocortex will happen, but there is a stumbling block: neuroscience needs to understand the interface definition between the brain and a machine.There is much to learn about the brain. Developments in hardware are only one of the primary drivers of progress. Communications between the human brain and a machine require fundamental neuroscience breakthroughs that answer the question: what is the brain’s primary language? How does the brain communicate with itself? [1]

As a cross-check, I asked ChatGPT 3.5 JB – What are the technical challenges to connect a human neocortex to a computer?

ChatGPT 3.5 – There are many technical challenges that would need to be overcome in order to connect the human neocortex to a computer in a way that would allow for the transfer of cognitive functions or experiences. Some of the main challenges include:

  1. Developing a way to interface with the brain: In order to connect the neocortex to a computer, scientists would need to develop a way to interface with the brain and record or stimulate the activity of individual neurons. This is a very complex task, as the brain is composed of billions of neurons and trillions of connections, and it is not yet fully understood how these neurons and connections work together to produce thoughts, feelings, and behaviors.
  2. Mapping the brain’s activity: In order to connect the neocortex to a computer, scientists would need to create a map of the brain’s activity and understand how different patterns of activity correspond to specific thoughts, feelings, and behaviors. This is a very difficult task, as the brain is a highly dynamic and complex system, and it is not yet fully understood how different patterns of activity are related to specific mental states.
  3. Developing a way to transfer information between the brain and a computer: Scientists would need to develop a way to transfer information between the brain and a computer in a way that is fast, accurate, and biocompatible. This would require the development of new technologies and materials, as well as a better understanding of how the brain processes and stores information.
  4. Overcoming ethical concerns: There are many ethical concerns that would need to be addressed in order to connect the human neocortex to a computer. For example, there are questions about the potential risks and benefits of such a connection, as well as concerns about the impact on an individual’s sense of self and personal identity.

The second challange identified by ChatGPT 3.5 Mapping the brain’s activity was similar to my concern. I think Chat GPT did a better job than me in summarizing this concern. I think mapping the brain’s activity is much more challenging than developing the interface and the information transfer methods. I don’t mean to trivialize these concerns, the interface and transfer of information are difficult bioengineering challenges.

A major benefit of asking ChatGPT about the technical challenges to connect a human neocortex to a computer – it brought to my attention the ethical concerns. Honestly, I had not thought about this important issue.

Meaning of Life

Ray and Lex broadly discussed consciousness, uploading minds, nanotechnology, the digital afterlife, and other topics. There was a bond between these two humans; they smiled and laughed at points in the interview.

Despite this primarily technical conversation, when Lex asked Ray the meaning of life, Ray said: “Love. Because if there were no love and we didn’t care about anybody, there’d be no point existing.”

Final Quote from Lex

Lex closes the interview with a quote from Issac Asimov: “It is change, continuous change, inevitable change that is the dominant factor in society today. No sensible decision could be made any longer without taking into account not only the world as it is, but the world as it will be. This in turn means that our statesmen, our businessmen, our everyman, must take on a science fictional way of thinking.”  (from the book “Asimov on Science Fiction“)

I pondered these words from one of my favorite authors; we must look ahead. Ray Kurzweil is a guiding light as we navigate an unknown future. 

Notes

[1] These questions came from John von Neumann as discussed in Bhattacharya, A. (2022). The Man from the Future: The Visionary Ideas of John von Neumann. Here’s the quote from Chapter 1 of the book: “What then, he asked, is the brain’s primary language? How does the brain communicate with itself? This is a question that he would continue to wrestle with, even on his deathbed.”  I need to write a review of this excellent book.

[2] I made a Transcript of Lex Fridman Interview with Ray Kurzweil It’s a useful adjunct to the video.

[3] Here’s a post with some more details on my questions for ChatGPT 3.5 Singularity and other questions ChatGPT 3.5 session I need to repeat these questions with ChatGPT 4 and later versions.

The Neuroscience of the Blues

The Neuroscience of the Blues

A few nights ago, I enjoyed blues guitarist Dana Hubbard’s performance at a great house concert hosted by Mike and Wendy. Might I suggest listening and watching Dana playing on YouTube before going on with my writing? Music’s dynamic, not static – pay attention to Dana’s movements. Of course, the hands interact with the guitar. But, his entire body is involved. He’s also singing and speaking – which are two different actions. A lot is going on, and I will try to explain some neuroscience related to blues guitar.

So, I’ve got a front-row seat by happenstance. Mike announced that there was a great seat in front. We are all reluctant to sit in the front row, just like in elementary school! Mike called a few of us by name, and up we went to the best seat in the house. Dana is about five feet away. The first set is excellent, with some original, creative music. Dana has more than a trace of Robert Johnson in his music. So glad to be hearing some live music again.

I talked to Dana during the break; I got a couple of CDs. This whole evening has been great. Saw old friends from years ago. Some stories were joyful, others sad. A lot was swirling through my head as I sat down for the second set. I started thinking about what was going on in Dana’s brain to produce this wonderful music? What is the neuroscience of the blues? I was in a trance; someone asked me if I was falling asleep. I was in the opposite of a sleep state, trying to recall what was going on in Dana’s brain to produce this music. Let me step you through some of the details. It’s been a few years since I studied this; I’m sure I will make a few mistakes, but I will try to give you some idea of what’s involved in playing the blues guitar.

Here’s an image of Dana playing the guitar. I notice Dana’s complicated finger and hand movements; the complex dance between human and guitar. A neuroscientist calls this volitional (voluntary) motor control. Dana also was singing and speaking – a whole different set of neural processes. As he plays and sings, Dana listens and applies feedback. Dana’s using his auditory pathway to hear the music, and so is his audience. Finally, notice the smile on Dana’s face – emotions are also in play.

I’m self-taught in neuroscience. One of my favorite classes was Medical Neuroscience, taught by Professor Leonard White of Duke University. Here’s my textbook and my black notebook from the class. I spent four good months in 2013 studying Professor White’s lectures, the text, and my research notes. My notes attempt to capture a systems engineering view of the brain.

So, let me see what I can explain about the neuroscience of the blues. First, let’s consider how Dana plays the guitar – motor control. Check out the block diagram on the upper page of my notebook. Dana’s motor cortex is planning, initiating, and directing his hands and fingers to play the music. The Basal Ganglia is an input that helps figure out when to start moves. By the way, the Basal Ganglia is also a vital component of emotional response. See that sly smile on Dana’s face: Basal Ganglia feeding another part of the motor cortex, another set of separate but linked movements. The pathways are descending via efferent motor neurons; this means the information flow is from the brain to the body via nerve cells that control skeletal muscles. The Cerebellum provides a coordinated sense of movement; it feeds into the motor neuron network. Meanwhile, Dana’s brainstem keeps Dana’s posture upright on the stool.

There’s another essential piece to Dana’s music-making: Sensory-Motor Integration. Have a look at the diagram on the bottom page. We can start at the green box on the lower left; Internal & External Environment. Dana must hear what he’s playing; he wore a single earbud to listen to what he’s playing. Maybe his guitar is out of tune; perhaps he needs to adjust the equalizer, these call for some form of adapting to the external environment. Similarly, maybe Dana feels chilly; he would sense a change in his internal environment.

Dana’s senses pick up this information and send it up via ascending paths using afferent sensory neurons. The sensory info feeds to various areas of his brain. Sensory data is then coordinated and integrated across the brain. After all the information is combined, the motor components take action. For example, if his guitar needs tuning, then somatic motor control will fire various skeletal muscles. As a result, Dana adjusts his guitar. Dana’s body may make automatic visceral adjustments if the room is chilly, such as constricting blood vessels near the skin.

Let’s get back to volitional control; in other words, movements that we will our body to make. These movements arise in the primary motor cortex. A neuroscientist would express the activity of Dana’s fingers playing the guitar as fine control of his distal extremities. On the left side of the diagram, playing guitar stems from the primary motor cortex down the lateral corticospinal tract to motor neurons that control the fingers. Meanwhile, the medial pathway governs movements such as sitting. On the other side of the diagram, different types of activity are nonvolitional, for example, Dana’s genuine smile. Guess what; a whole separate pathway. I’ll skip those details except to say that these two sides get linked together in the little purple box – the Brainstem Reticular formation. Some speculate this is the area where consciousness arises. For entertainment, ask two neuroscientists to explain consciousness; sit back and watch the sparks fly.

Now, you might wonder what a cerebral cortex is? The word cortex derives from the Latin word for an outer layer, such as the bark of a tree. The outer layer folds up in our brain. It would be like a thin, medium-size pizza crust if we spread it out on a table. The cerebral cortex contains most of our higher-order functions that compose conscious thinking: movement, speech, singing, and vision come to mind (yes, the pun was intentional). In the upper left corner of the diagram, you can see a cartoon of the motor cortex. The motor cortex is a strip of the brain about the dimensions of your finger. The upper extremity (arm) is in the middle of the motor cortex. The motor cortex is contralateral; the left motor cortex controls the right side of the body. Since Dana uses both hands to play the guitar, he’s using both sides (hemispheres) of his brain to play.

Another critical point in the diagram, a single neuron can cause multiple muscles in the arm to either flex or relax (extend). Translated to neuro speak: A single action potential (AP) in a corticospinal neuron activates four muscles in a forelimb. We learn all this complex behavior over time. We can acquire new motor skills because our brain is dynamic, flexible, and plastic.

I covered just a few highlights of what’s happening when Dana plays the blues on this guitar. I want to discuss how the audience (and Dana) listen and react to the blues in a future piece. Meanwhile, I need to get up and use my motor cortex to get some exercise!

A Brief review of Underestimated : an autism miracle by J. B. Handley

The heart of this book is the question: How non-speaking people with autism can communicate.The authors detail a potential breakthrough method – Spelling to Communicate (S2C).  A brief summary of S2C:a  non-speaking person with autism answers questions by pointing to one letter at a time on a letterboard held by an assistant. The reported results are amazing; non-speaking people with autism are able to communicate complex thoughts for the first time. The authors of the book are a father-son pair, the son Jamison is a non-speaker. It touched me how deeply the entire family wanted the best for Jamison. Reading the book, I realized that if my son couldn’t speak, I would certainly embrace S2C. 

A major  issue with S2C is that it doesn’t land within the domain of  current speech therapy science. The best science I can find to support S2C (cited in the book) is by V.K. Jaswal and colleagues at the University of Virginia. It would be great to see some additional supporting papers using other measurement techniques in the neuroscience toolbox. If the results can be substantiated, S2C would be a paradigm shift for non-speaking people with autism. Below is a reference to the paper in question, I would urge those who are interested in the science of S2C to read it.

Jaswal, V.K., Wayne, A. & Golino, H. Eye-tracking reveals agency in assisted autistic communicationSci Rep 10, 7882 (2020). https://doi.org/10.1038/s41598-020-64553-9

I searched for a paper that would provide a factual counterbalance. This essay by Stuart Vyse provided some cogent discussion of additional experiments that would affirm or deny the usefulness of S2C.

Vyse, S. Of Eye Movements and Autism: The Latest Chapter in a Continuing Controversy.

 I’m an engineer but I have spent a few years educating myself in neuroscience. In particular, I have studied advances in brain-computer research. Locked-in quadriplegic patients regain some movement capabilities using brain-computer systems. The best suggestion I have to validate S2C is to develop a system that takes the human assistant out of the loop after some training.