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Computational models of the brain: from biology to applications
Anders Lansner, KTH
Turing Conference Room, IDt
The capabilities of the brain in perception, motor control and cognition
represent a primary target and a yardstick to judge performance in
artificial intelligence and robotics. One research strategy, that of
brain-like computing, is to design computational brain models that mimic
the structure and function of the brain to the extent that it is known,
relevant and feasible, with the aim towards applications.Modelling of neurons and neuronal circuitry is also becoming increasingly
important in brain research as a tool to integrate and organize available
experimental data into a testable computational model. More abstract
"connectionist" type of models are used in cognitive neuroscience and
neuropsychology to model cognitive phenomena.During the seminar these different aspects and levels will be illustrated
and exemplified by our own work on models of cortical perception and memory.