Author: Audra Davidson

  • If I only had a…spine?

    For as long as I can remember, I have been obsessed with how people move. Now, hear me out. Even simple movements are fascinating if you really think about it. Electrical signals from your brain and spinal cord communicating with hundreds of muscles, forcing them to work together in a perfectly balanced symphony of contractions. All to maneuver our unwieldy skeletons gracefully through space.

    Do me a favor and stand up.

    For most of us, this movement feels like one of the simplest things we can do.

    Now, look at your legs.

    There are over 50 muscles below your hips alone. Yet, all these muscles just contracted in expert harmony to use the precise amount of force needed to move your body against gravity, all while maintaining near perfect balance. Precisely how we can perform these seemingly simple yet crucial movements on a whim is an active and exciting area of research, leading us toward innovation in movement rehabilitation, robotics, and beyond. These are movements we don’t even notice, like activating our muscles to breathe, blink, maintain our balance, or even walk. If you did notice these movements, you likely wouldn’t be able to focus on much else, transforming a simple grasp into an impossible and difficult task.

    Luckily, you don’t need your brain to do any of these things.

    More than just a cord

    Many people think of the spinal cord as just that, a cord. The cords and cables we typically interact with are charged with a very important but relatively simple task: bringing electricity from point a to point b. While the spinal cord is very important for bringing electrical signals from your brain to your muscles and organs, it does so much more.

    Picture an orchestra with a smart but rather lazy conductor performing for an audience. The musicians are like the motor neurons in the spinal cord, connecting to and contracting the muscles when the neurons fire, allowing you to move. Complicated musical pieces require guidance by our lazy conductor, just like throwing a dart or grasping an object requires guidance by the brain [1]–[4].  The audience’s cheers allow the orchestra to adapt, just like you use sensations from your body to improve or guide movements [5], [6].

    Yet, just like our experienced musicians don’t need the conductor to play simple or repetitive musical pieces, you don’t need your brain to perform “classic” movements. “The spinal cord is able to achieve so many behaviors by itself, completely isolated from the brain,” explains Dr. Cope, spinal cord neurobiology researcher and Georgia Institute of Technology professor.  “You can completely isolate the spinal cord in a living animal from the brain and it can walk on a treadmill [7], [8]. It can change speeds as the treadmill changes speed. You put an obstacle in its way, it can learn to lift its leg over that obstacle,” all without our lazy conductor [9].

    It was discovered in the early 1900’s that your motor neurons are fully capable of running the show [10]. “What that tells you is that there is this rich circuitry that in fact the whole motor system relies upon,” Dr. Cope explained. All in all, it looks like the spinal cord has the classics all worked out for you. Feel free to tell your conductor they can take the day off.

    How to run around like a chicken with its head cut off

    Unsurprisingly, experienced musicians are able to play complicated, intricate music without their conductor. Surprisingly to many, however, your spinal cord is able perform complicated, intricate behaviors without any input from the brain. How exactly are these behaviors possible? It’s all in the organization.

    If you’ve ever gotten a physical, you have probably experienced the odd sensation of your leg flying through the air without your consent. In the right spot, a simple tap on your knee by the doctor sends your foot on a trip automatically. We commonly refer to these types of movements as “reflexes,” in which no approval by the brain is required. This reflex pathway is relatively simple in organization; only two neurons are required, making this one of the fastest reflexes we have. One neuron senses the stretch of your muscle caused by the tap and immediately tells the second neuron to flex that same muscle. This flexion rapidly moves your leg before you can stop to think about it. This can happen in less than a few milliseconds [11]! You use your stretch reflex more often than your visits to the doctor, however. The stretch reflex helps you keep your balance without a second thought and is believed to be crucial for general sensory feedback and movement control.

     

    What if we make things a little more complicated? Instead of just two neurons, let’s add in two sets of neurons in the spinal cord: set A controlling muscle a, and set B controlling muscle b. Much like a seesaw, these sets of neurons rhythmically alternate in activity. A neurons fire until they run out of juice, then B neurons take over and the cycle continues. With this small set of neurons, a pattern of alternating activity emerges. Together, A and B neurons form a central pattern generator. For humans, however, a 2-muscle central pattern generator isn’t very useful. Adding in more sets of neurons allows your spinal cord to rhythmically control more muscles in a more complicated pattern. With anything from breathing and scratching an itch to walking and running, the spinal cord is in charge.

     

    The patterns are there in your spinal cord, all you need to do is press start. “One of the things the brain does and can take full advantage of is to just send a ‘go’ signal to the spinal cord,” Dr. Cope explained. “[The brain] can say ‘Hey, all of the complicated things you do with timing and organizing … different muscles in different patterns, you do it. You’ve worked all that out. I don’t have to complicate my life with that.’” And while the brain can initiate and influence this pattern of alternating activity, it isn’t required. This pattern can just as easily be started by sensory input from your environment, or by sensory signals from throughout your body [9].

    At the end of the day, it seems like the spinal cord has it all figured out for us. But do we have the spinal cord all figured out? Not even close.

    The Mysterious Cord

    In the past year, the news has been abuzz with instances of paralyzed patients regaining the ability to walk [12]. Paralysis is typically caused by spinal cord damage. Up until recently it seems, spinal cord injuries often left patients with limbs that were difficult or impossible to move willingly, oftentimes without hope for improvement. So how are these patients taking these miraculous steps?

    A better question might be what happens to the spinal cord when it’s injured? We know some things about how it repairs itself, but we are far from the whole story. This means we are a far cry from fully repairing spinal cords ourselves. While these recent miraculous findings may make it seem like we have it all figured out, don’t let that fool you. “I think it’s exciting and I think it’s encouraging. I would say that we shouldn’t let our encouragement overshadow the fact that it’s nowhere close to what we want,” laments Dr. Cope.  “It’s going to require some basic neuroscience information about what the mechanisms are that are limiting recovery.”

    Researchers like Dr. Cope at Georgia Tech are working on a piece of this puzzle, studying to understand how the healthy and injured spinal cord contributes to and controls movement. Even with the great strides achieved recently by clinical studies [12], Dr. Cope explains that “We’re encouraged, but we have a long way to go.”

    References

    [1] D. P. Hanes and J. D. Schall, “Neural Control of Voluntary Movement Initiation,” Science (80-. )., vol. 274, no. 5286, pp. 427–430, 1996.

    [2] D. M. Wolpert and Z. Ghahramani, “Computational principles of movement neuroscience,” vol. 3, no. november, 2000.

    [3] D. A. Rosenbaum, K. M. Chapman, M. Weigelt, D. J. Weiss, and R. van der Wel, “Cognition, Action, and Object Manipulation,” Psychol. Bull., vol. 138, no. 5, pp. 924–946, 2013.

    [4] E. Freud, S. N. Macdonald, J. Chen, D. J. Quinlan, M. A. Goodale, and J. C. Culham, “Getting a grip on reality: Grasping movements directed to real objects and images rely on dissociable neural representations,” Cortex, vol. 98, pp. 34–48, 2018.

    [5] R. Shadmehr, M. A. Smith, and J. W. Krakauer, “Error Correction, Sensory Prediction, and Adaptation in Motor Control,” Annu. Rev. Neurosci., vol. 33, pp. 89–108, 2010.

    [6] D. M. Wolpert, Z. Ghahramani, and M. I. Jordan, “An internal model for sensorimotor integration,” Science (80-. )., vol. 269, no. 5232, pp. 1880–1882, 1995.

    [7] T. G. Brown, “The Intrinsic Factors in the Act o f Progression in the Mammal,” Proc. R. Soc. London. Ser. B, Contain. Pap. a Biol. character, vol. 84, no. 572, pp. 308–319, 1911.

    [8] S. Grillner and P. Zangger, “On the Central Generation of Locomotion in the Low Spinal Cat,” Exp. Brain Res., vol. 261, no. 34, pp. 241–261, 1979.

    [9] E. P. Zehr, “Neural Control of Rhythmic Human Movement : The Common Core Hypothesis,” Exerc. Sport. Sci. Rev., vol. 33, no. 1, pp. 54–60, 2005.

    [10] C. S. Sherrington, “Flexion‐reflex of the limb, crossed extension‐reflex, and reflex stepping and standing,” J. Physiol., vol. 40, no. 1–2, pp. 28–121, 1910.

    [11]  E. G. T. Liddell and C. S. Sherrington, “Reflexes in response to stretch (myotatic reflexes),” Proc. R. Soc. London. Ser. B, Contain. Pap. a Biol. Character, vol. 96, no. 675, pp. 212–242, 1924.

    [12] P. J. Grahn et al., “Enabling Task-Specific Volitional Motor Functions via Spinal Cord Neuromodulation in a Human With Paraplegia,” Mayo Clin. Proc., vol. 92, no. 4, pp. 544–554, 2017.

  • When to Start Panicking about Killer Robots

    If you’ve seen one too many sci-fi movies (or five minutes of West World), you might think artificially intelligent humanoid robots can, and likely will, outsmart their creators.

    After all, over the past century, humanoid robotics technology has accelerated from barely-believable Disney animatronics, to emotive, joke-cracking, robotic citizens. It’s not a stretch to envision what’s next. However, although potentially unsettling, modern artificial intelligence technology shouldn’t have you perusing panic room catalogs just yet. Or should it?

    RobotHumanShadows

    High-Tech One-Hit Wonders

    It is true that robotic devices developed in the past few decades can perform some truly remarkable tasks, such as have interactive conversations, dance, or do parkour. But, all of these amazing machines fall into two categories: they can move well, or they can think well. None can do both – yet.

    For example, Boston Dynamics is a robotics company that has built several robots with eerily life-like movement capabilities. Take their creation Big Dog. When pushed, this robot almost looks like a scared deer recovering from a fall. These machines, such as their newer creation called Handle, have both reflexes and complicated controls that allow them to move in uncertain environments with extreme precision, carrying heavy weights and performing multiple tasks. However, they aren’t exactly stimulating conversation partners.

    On the other hand, there are robots that very convincingly interact with humans, such as the now-famous Sophia from Hanson Robotics. Sophia can converse with humans relatively seamlessly. She can learn from conversations over time, tell jokes, and even throw shade. But her movements are clunky and relatively non-existent.

    Robots are designed to specialize in one task – they can either walk or talk but cannot yet do both. As prominent roboticist and Oregon State computer science professor Thomas Diettrich, Ph.D., explained in an interview with Tech Insider, “No [artificial intelligence] system comes anywhere close to having this immense breadth of capabilities, particularly when it comes to combining vision, language, and physical manipulation” (Del Prado, 2016). What happens when there is a robot that excels in all of these tasks? At that point, it might be time to consider investing in some off-grid property.

    Walking the Walk so You Can Talk the Talk

    Why does movement matter when talking about artificial intelligence? As MIT neuroscientist Daniel Wolpert, Ph.D. puts it, mammals have brains so that we can move. Evolutionarily speaking, mammals developed the ability to perform complex movements like walking before we developed higher cognitive abilities, such as speech.

    Moving and interacting with your environment is the best way to learn, even for robots. Peter Norvig, Ph.D and director of research at Google agreed. “Reasoning [in artificial intelligence] will be improved as we develop systems that continuously sense and interact with the world, as opposed to learning systems that passively observe information that others have chosen,” Norvig explains (Del Prado, 2016).

    Take, for example, a baby learning to talk. Although you don’t remember it, you probably learned what a ball was by seeing a ball, grabbing it, maybe even putting it in your mouth a few dozen times, all while someone repeated the word “ball” over and over. You were eventually able to define what the word “ball” meant by recalling your interactions with that object. This is likely why early motor skills are predictive language development (Bedford et al., 2016). Observations like these have led cognitive neuroscientists to develop the theory of embodied cognition. This theory suggests that cognitive functions – understanding the emotions of others, developing likes and dislikes, and communicating with those around you, to name a few – are rooted in our physical experiences with the environment, and the sensations we feel from those experiences. Essentially, you know what awkwardness is because you accidentally called your first-grade teacher ‘mom’ once or accidentally said “Love you!” before hanging up the phone with your boss.

    An entire body of developmental and neural imaging evidence supports this theory, showing that we use our own sensory and motor experiences for complex cognitive processes such as understanding the actions of others (Grafton, 2009) and the meaning of words (Pulvermuller, 2005). Fortunately for us, or unfortunately if you are a roboticist, manmade machines do not yet possess this ability.

    Moving Towards Independent Thought

    For a robot to have true, rich artificial intelligence they have to be able to think and learn without supervision. At the moment, robots have a hard time generating their own opinions about the environment because they can’t fully – or perhaps more importantly, independently –  experience the environment. If you tell a robot to “push” or to “walk,” they typically understand what you mean because someone went into the code and defined what those words meant, not because the machine defined it for themselves by actually pushing or walking. Deb Roy, Ph.D and a professor at MIT working on robots that understand language through physical interaction, describes this as “the machine [getting] caught in circular chains of dictionary-like definitions.” (Roy, 2005). Their group has managed to create Ripley, a robot that can physically interact with objects to form its own opinions about the environment. However, these types of machines still have a long way to go before engaging in rich social interactions as well as complicated physical movements.

    So what’s holding us back from developing robots that can move, sense, and think? It seems that researchers investigating things like movement and sensations in humans and robots are largely separated from roboticists developing cognitive algorithms. Similar to Dr. Roy, Dr. Fancesca Odone and colleagues are working to develop the cognitive and physical skills of iCub, a robot that can independently learn to visually recognize objects and perform physical manipulations. Fanello et al. (2017) explain that  “In spite of the complementary challenges, cognitive robotics and computer vision mainly proceeded on independent tracks.” To enable robots to walk and talk, perhaps researchers across fields must first talk to each other.

    We’re Safe. For now.

    Until robots can form experience-based definitions of the things they interact with through their own movement, we are probably safe from the potential robot apocalypse. When robots develop the ability to learn from their own physical experience – experience they gain themselves by interacting with the environment through coordinated movement – that is when their thinking will become truly independent.

    Who knows, maybe if we show them our good side, robots will like humans and decide to live harmoniously with their creators. However, since Sophia recently learned to walk, and seems to have other plans, you might want to keep those panic room catalogs within arm’s reach.

     

    Works Cited

    Bedford, R., Pickles, A., & Lord, C. (2016). Early gross motor skills predict the subsequent development of language in children with autism spectrum disorder. Autism Research, 9(9), 993-1001.

    Del Prado, G. M. (2016, March 09). Experts explain the biggest obstacles to creating human-like robots. https://www.businessinsider.com/biggest-challenges-human-artificial-intelligence-2016-2

    Fanello, S. R., Ciliberto, C., Noceti, N., Metta, G., & Odone, F. (2017). Visual recognition for humanoid robots. Robotics and Autonomous Systems, 91, 151-168.

    Grafton, S. T. (2009). Embodied cognition and the simulation of action to understand others. Annals of the New York Academy of Sciences, 1156(1), 97-117.

    Pulvermüller, F. (2005). Brain mechanisms linking language and action. Nature Reviews Neuroscience, 6(7), 576.

    Roy, D. (2005). Semiotic schemas: A framework for grounding language in action and perception. Artificial Intelligence, 167(1-2), 170-205.