'Different transformations' presentation slideshows

Movement

383 views • 20 slides

STDP - spike-timing-dependent plasticity

STDP - spike-timing-dependent plasticity. What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? STDP Finds the Start of Repeating Patterns in Continuous Spike Trains. Abstract. Spiking neurons are flexible computational modules.

1.08k views • 15 slides

Hugo Bruneliere (INRIA) MODELPLEX Technology Showcase

Combining Model Transformation, Model Weaving and Megamodeling Use Case: Performance-Annotated UML2 State Charts. Hugo Bruneliere (INRIA) MODELPLEX Technology Showcase University of Twente, Enschede (The Netherlands), 23 rd of June 2009. Overall Context. UML. Yesterday: Contemplative.

201 views • 12 slides

The transformer is an independent entity that reacts when a signal is sent by a model or the driver. This signal is sent

Principles of the transformer. The transformer is an independent entity that reacts when a signal is sent by a model or the driver. This signal is sent via MPI persistent communications:

186 views • 8 slides