10 likes | 160 Views
Wlodek Duch (NCU PL/NTU Sing). Neurocognitive informatics => Autonomous machine learning. Detailed simulation of brain functions (ex. Blue Brain project) did not generate principles that could be used for large-scale simulation of cognitive functions.
E N D
Wlodek Duch (NCU PL/NTU Sing) Neurocognitive informatics => Autonomous machine learning Detailed simulation of brain functions (ex. Blue Brain project) did not generate principles that could be used for large-scale simulation of cognitive functions. • CI: lower cognitive functions, perception, signal analysis, action control, sensorimotor behavior etc. • AI: higher cognitive functions, thinking, reasoning, planning etc. • Neurocognitive informatics:brain processes can be a great inspiration for AI algorithms, if we could only understand them …. What are neurons doing? Perceptrons, basic units in multilayer perceptron networks, use threshold logic – Artificial NN inspirations. What are the networks doing? Specific sensory/motor system transformations, implementing various types of memory, estimating similarity, LSM. How do higher cognitive functions map to the brain activity? Still hard but … Neurocognitive informatics = abstractions of this process, a few algorithms have been proposed recently (aRMP, SFM, neuroNLP). Duch W, Intuition, Insight, Imagination and Creativity. CIMagazine 2(3), 2007