A Thousand Brains

The brain is one of humanity's greatest mysteries. Despite decades of research and many observations by neuroscientists, we still do not understand how individual neurons connect to form intelligence and consciousness. In A Thousand Brains, Jeff Hawkins presents a new theory suggesting that our brains are an assemblage of thousands of tiny "brains" - cortical columns. These columns function as prediction machines that model and predict the world around us. Hawkins' theory offers an exciting insight into the neocortex and its role in our intelligence, creativity and consciousness.

In the book, Hawkins puts forward a revolutionary theory that the brain is made up of thousands of tiny "brains," called cortical columns. Each of these columns is the basic unit of information processing and functions like a small brain. These cortical columns are small units of neural connections, each responsible for processing different types of sensory input and motor output. The neocortex, which occupies up to 70% of the space in our skull, is made up of these cortical columns. This complex organ, often likened to a wrinkled piece of brain matter, is responsible for a wide range of our mental abilities, from perception to abstract thinking. Each cortical column functions autonomously, creating models of the world based on sensory input and predictions. For example, when examining an object such as a stapler, the brain uses these columns to make predictions and update models based on new data. If we turn the stapler and squeeze it, causing a staple to come out, the brain records this experience and adjusts its previous predictions about how the stapler works. The authors of this theory are Jeff Hawkins, who introduced it in his book "A Thousand Brains" in 2021, and Richard Dawkins, a renowned biologist, who supported its relevance and potential impact on our understanding of brain activity. According to Dawkins, this theory is so fascinating and stimulating that it may completely change our perception of how intelligence and consciousness work. This new view of the brain is of great importance to neuroscience because it suggests that each of these cortical columns is essentially a universal processor, capable of performing a variety of functions based on its connections to sensory inputs and motor outputs. This universality could explain why the brain is so adaptable and resilient to damage, a property that has important implications for treatment and rehabilitation after neurological injury.

The brain is constantly trying to predict what will happen next based on the sensory data it receives. The brain receives various sensory inputs and tries to identify patterns that allow it to make predictions about future inputs. As the brain processes these inputs, it updates its models based on errors in the predictions. If a prediction turns out to be incorrect, the brain adjusts the models to reduce the likelihood of incorrect predictions in the future. This process of constantly improving predictions is the basis of learning and adaptation. As an example, Hawkins gives the hypothetical situation of a brain in a vat that is not connected to the body. If we connect this brain to a camera and start supplying it with visual signals, the brain starts to detect patterns in the input data and make predictions about what will follow. For example, if the brain sees an image of a tree and then an image of leaves, it will start to predict that the next image will contain more details about the tree. Each incorrect prediction leads to an update of the model. Hawkins likens this process to the workings of supercomputers that use models to predict the weather. Like these computers, the brain uses complex algorithms to process the data and improve its predictions. Supercomputers collect data on temperature, humidity, and other meteorological factors and make predictions about future weather based on that data. If the predictions are wrong, the models are adjusted to make them more accurate in the future. The ability to make predictions is crucial to the survival of organisms because it allows them to interact effectively with the world. Predictions allow organisms to plan their activities and respond to changes in the environment in a way that increases their chances of survival. For example, the prediction that a door will open when you reach out and grasp the handle is critical for basic activities. With this theory, Jeff Hawkins brings new insight into the workings of the brain and its ability to process and interpret sensory input. His work highlights the importance of predictions in our daily lives and shows how the brain is constantly working to improve its models of the world so that it can better anticipate and respond to changes in the environment.

Hawkins critiques the traditional view of the brain as a set of separate functional modules. According to traditional theory, there are specialized areas in the brain that process sensory inputs and control motor outputs. For example, the visual cortex processes visual information, while the motor cortex controls muscle movement. The new insight introduced by Hawkins suggests that each cortical column has its own sensory and motor connections. That is, these columns are not strictly divided by function, but each can both process sensory input and control motor output. As an example, Hawkins cites the cortical columns connected to the retina and muscles of the eye. These columns process visual inputs and also control eye movements, allowing for accurate scanning of the visual field. This new view of the brain as a set of universal processors is supported by the neuroscientists who contributed to this discovery. Experiments with young animals, where the optic and auditory nerves were confused, have provided important evidence for this new view. The animals learned to use these nerves correctly, suggesting that the brain can adapt its functions according to the available inputs, independent of the original designation of each area. This new insight also explains the remarkable adaptability of the brain after damage. If someone suffers a traumatic brain injury that damages part of the cerebral cortex, the brain simply reprograms the remaining cortical tissue around the damage to restore its function. This ability to adapt and reorganize is one piece of evidence that the brain does not function as a set of rigidly separated modules, but rather as a flexible network of universal processors. This new approach to understanding the brain offers a deeper understanding of how the brain works and how it is able to perform a wide range of functions. Hawkins' theory suggests that each cortical column is essentially the same and differs only in what inputs and outputs it is connected to. This provides new avenues for research and potential therapeutic approaches to treat neurological injuries and diseases.

Each cortical column in the brain has its own frame of reference that it uses to process sensory inputs and predictions. This frame of reference is similar to a geographical map that allows us to locate and orient ourselves in space. Imagine holding a cup of coffee and examining it with a finger. The brain uses this frame of reference to create a spatial map of the sensations our fingers perceive. These sensations are organized into patterns that the brain uses to identify and understand objects. Thus, each cortical column creates its own "map" of the object under study. This ability of the brain to develop frames of reference comes from an evolutionary mechanism called grid cells. Grid cells originally helped simple organisms navigate in space and map their environment. Evolution has intricately used this mechanism and applied it to more complex tasks, such as mapping and processing objects in the brain. In touch analysis of a cup of coffee, the brain uses frames of reference to predict and recognize its shape, size, and texture. When a finger passes over the surface of the cup, the brain produces sequences of information that are compared to stored patterns. If the brain encounters something unexpected, such as a crack in the cup, it updates its model to better predict future sensory input. These frames of reference and reality mappings are important to the brain's ability to predict and navigate the world. Each cortical column creates maps for different objects and sensations, allowing the brain to process and interpret sensory input efficiently. This improves our ability to predict what will happen next and take appropriate action. The ability to create frames of reference and map reality is crucial to our perception and interaction with the world. Hawkins' theory provides new insight into how the brain processes information and how this ability allows us to better predict and adapt to our environment. This mechanism is fundamental to our ability to learn, recognize objects, and navigate the world around us.

Cortical columns achieve unified perception and action through a voting-like process of convergence. Each cortical column functions as an autonomous processor of information, but they must work together to form a coherent experience or response. Voting neurons are the key to this cooperation. These neurons are connected over long distances and their job is to integrate the results from different cortical columns. This process works much like voting, where each column "votes" for its perceived outcome, and the voting neurons aggregate these votes into a unified result. Let's go back to the coffee cup. When the brain receives sensory input about a cup of coffee, individual cortical columns process different aspects of that input - shape, texture, temperature, etc. Vocal neurons then collect this information and integrate it into a unified perception of the object we identify as the coffee cup. This process of convergence ensures that even though each column has its own piece of information, the resulting perception is coherent and accurate. Hawkins explains that conscious experience is the result of the aggregation of the voices of these vocal neurons. This democratic process allows the thousands of little "brains" in our neocortex to work together to form a unified perception of the world. This mechanism is the basis for the functioning of consciousness and decision making. The significance of this theory is enormous. It shows how the brain can integrate disparate information and create a coherent and meaningful perception. The cooperation of thousands of small brains leads to a unified and accurate perception of the world, which is crucial for our daily functioning and survival. This process is a testament to the incredible complexity and efficiency of the human brain. Hawkins' theory thus offers new insights into how the brain processes information and how the different parts of the brain work together to form our consciousness and decision-making ability. This democratic mechanism is fundamental to understanding how the brain works and how it can integrate vast amounts of information into a unified experience.

The basic unit of cognition is the prediction of sensory input following motor movement. According to him, intelligence and perception are based on the brain's ability to predict what will happen after a certain movement is made and sensory input is received. The brain constantly analyzes what the senses perceive and predicts further sensory input based on that. This process is the basis for intelligence and perception. As we move around, touch, and manipulate objects, we generate sequences of information that allow us to better understand and predict their properties. Each cortical column in the brain has its own frame of reference or coordinate system that it uses to process sensory input. This frame of reference allows the columns to form models of the world and make predictions that are the basis for our perception and interaction with the environment. Evolution has used this mapping mechanism to store models of objects and improve predictions. This mechanism allows us to better navigate and interact with the world. The ability to make accurate predictions of sensory inputs after movement is crucial for our survival and daily functioning. Hawkins' theory provides new insight into how the brain processes information and creates models of the world. The ability to predict sensory input after movement is fundamental to intelligence and perception and shows how the brain uses movement and the senses to better understand and interact with the environment.

In A Thousand Brains, Jeff Hawkins presents a groundbreaking theory about the workings of the human brain that changes our traditional understanding of neuroscience. Hawkins explains that the brain is composed of thousands of tiny units called cortical columns that are capable of independently processing sensory input and controlling motor output. These columns work together through a voting-like process to form a unified and coherent perception of the world. Hawkins' theory also emphasizes the role of predictions in our cognition and interactions with the environment, with the brain constantly adjusting its models based on new information. This new view of the brain reveals its incredible adaptability and complexity, providing a deeper understanding of how our intelligence, consciousness, and ability to learn work. Do you have feedback for us? We'd love it if you let us know your opinion on our content! Just send an email to feedback@rewio.app with the title of this book in the subject line and share your impressions!