#neuroscience #brain Created at 2023-01-08 # [Anonymous feedback](https://www.admonymous.co/louis030195) # [[Epistemic status]] #shower-thought Last modified date: 2023-01-08 Commit: 0 # Related - [[Biology/Neuroscience/The brain s god module]] - [[Biology/Neuroscience/Synapse]] - [[Biology/Neuroscience/Neuroscience]] - [[Biology/Neuroscience/Neuron]] - [[Biology/Neuroscience/Neocortex]] - [[Biology/Neuroscience/The brain s god module]] - [[Biology/Neuroscience/Brain synapses and Assembly theory]] # TODO > [!TODO] TODO # The end-to-end model of the brain Jeff Hawkins proposes that the brain is a sophisticated algorithm processor. He believes that the brain processes sensory data in a similar manner as a computer, by relying on a hierarchical network of neurons that store patterns and make predictions based off these patterns. This suggests that the brain is not a static system, but rather is constantly learning and adjusting to new input. As a result, this theory has been integrated into a range of fields such as robotics, artificial intelligence, and neuroscience. Cortical columning is a particular example of this theory in action. Hawkins' research suggests that the brain is organized into columns of neurons, each with its own specialized function. By organizing neurons into columns, the brain is able to process patterns more efficiently, allowing for faster and more accurate predictions. This organization also allows for more specific responses to inputs, allowing for more precise control of motor movements, for example. Hawkins' research has been influential in the fields of robotics and artificial intelligence. His theory of cortical columning has been used to develop robots that can learn and adapt to their environments. This has allowed for robots to become more accurate and efficient in their tasks. Additionally, Hawkins' theory has been used to develop artificial neural networks, which are computer systems designed to simulate neurological processes in the brain. Such networks can be used to recognize patterns and make predictions in a manner similar to the brain. Overall, Hawkins' theory of cortical columning has been influential in a range of fields. It has been used to develop robots, artificial neural networks, and other cognitive technologies that can process and respond to data in a manner similar to the brain. His research has also provided insights into how the brain functions and has been used to better understand neurological diseases. ![[Screenshot 2023-01-08 at 19.27.13 1.png]]