In Motor Learning, New Brain Connections Form Rapidly
Science Daily has a report on research demonstrating directly that new connections begin to form between brain cells almost immediately as animals learn a new task. A team lead by researchers at UC Santa Cruz performed "...detailed observations of the rewiring processes that take place in the brain during motor learning. The researchers studied mice as they were trained to reach through a slot to get a seed. They observed rapid growth of... synapses between nerve cells in the motor cortex... The study used mice that had been genetically altered to make a fluorescent protein within certain neurons in the brain. The researchers were then able to use a special microscopy technique (two-photon microscopy) to obtain clear images of those neurons near the surface of the brain. The noninvasive imaging technique enabled them to view changes in individual brain cells of the mice before, during, and after the mice were trained in the seed-reaching task."
* The laws of physics work on more than 2 dimensions. From this:
Current student of Ken Stanley in Neuroevolution and Generative Development this semester.
Parent is correct: The devil is in the details. A Neural Network is a _model_ of what actually happens in the brain. It is an approximation. There are a number of things that the model does not account for, such as the growth of new connections (somewhat accounted for in the GA-NN NEAT), and the exponential response nature (accounted for in CRTNN networks).
CPPNs are a model to account for generative development, rather than Neural Networks. The hope is to get a full system without going through the actual step-by-step constructive development of it. To this end, it is successful.
You can find more information about the subject, or implement your own CPPN network here: http://www.cs.ucf.edu/~kstanley/neat.html
The article presents a good argument that the ANN model is at least partially incorrect on its approximation of brain development. ANNs do not add connections after the topology is created. This could provide interesting new developments to the AI crowd.
I just learned kung-fu.