Technion, IEM faculty - Operations Research & Statistics seminar Speaker: Dmitri "Mitya" Chklovskii, Janelia Farm, HHMI Title: Can neurons be modeled by online learning algorithms? Date: 24/12/2012 Time: 12:30 Place: Bloomfield-527 Abstract: <http://ie.technion.ac.il/seminar_files/1355819038_20121224.pdf> Or read it here: Abstract: The astounding complexity of human thoughts, feelings, and behavior is generated by a self-organizing network of 10^11 neurons. What basic com- putation is performed by each neuron in such a network? We propose to model neuronal computation by online learning algorithms for estimation and prediction of time varying signals. First, by using projection pursuit, synaptic learning rules could discover a linear combination of inputs with non-Gaussian, e.g. Laplace distribution. Second, Laplacian signal contami- nated by Gaussian noise can be robustly estimated by an integrator followed by a threshold linear response function common firing rate model of a neu- ron. If the estimation signal must be encoded by a binary sequence, the estimator reduces to an integrate-and-fire neuron --------------------------------------------------------- Technion Math. Net (TECHMATH) Editor: Michael Cwikel <techm@math.technion.ac.il> Announcement from: <tomerk@.technion.ac.il>