Background: To date more than 2,1 million gene products from more than 100000 different species have been described specifying their function, the processes they are involved in a...
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
We argue that a realistic model for quantum computations should be general with respect to measurements, and complete with respect to the information flow between the quantum and ...