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The Random Trip Model: Stability, Stationary Regime, and Perfect Simulation The Random Trip Model: Stability, Stationary Regime, and Perfect Simulation

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Distributor of neurons in a neocortical column

Henry Markram, Felix Schürmann, Georges Khazen, Martin Telefont

Computer-implemented methods, software, and systems for determining a distribution of neuronal cells across a portion of a brain are described. One computer-implemented method for determining a target distribution of one or more neuronal cells across a por ...

2014

Rendering Glints on High-resolution Normal-mapped Specular Surfaces

Wenzel Alban Jakob

Complex specular surfaces under sharp point lighting show a fascinating glinty appearance, but rendering it is an unsolved problem. Using Monte Carlo pixel sampling for this purpose is impractical: the energy is concentrated in tiny highlights that take up ...

ACM2014

Analysis and Design of Large-scale Online Classes

Martin Vetterli, Paolo Prandoni, Tao-Chun Lee

Massive Open Online Courses (MOOCs) have become an emergent paradigm of large-scale knowledge distribution, have generated wide interest in the higher education community and are anticipated by many to bring impact to the future of higher education. In thi ...

2014

Tuning the length dispersion of multi-walled carbon nanotubes by ball milling

László Forró, Arnaud Magrez, Claudio Grimaldi, Richard Gaal, Marijana Mionic Ebersold, Rita Smajda, Primoz Rebernik Ribic

The statistical analysis of the length distribution of catalytic chemical vapour deposition synthesized multi-walled carbon nanotubes cut by planetary ball milling is reported. The nanotube lengths follow a log-normal distribution in a broad range of grind ...

Amer Inst Physics2013

On the rate of convergence in the martingale central limit theorem

Jean-Christophe Mourrat

Consider a discrete-time martingale, and let V-2 be its normalized quadratic variation. As V-2 approaches 1, and provided that some Lindeberg condition is satisfied, the distribution of the rescaled martingale approaches the Gaussian distribution. For any ...

Int Statistical Inst2013

Metastable densities for the contact process on power law random graphs

Thomas Mountford, Daniel Rodrigues Valesin

We consider the contact process on a random graph with a fixed degree distribution given by a power law. We follow the work of Chatterjee and Durrett [2], who showed that for arbitrarily small infection parameter lambda, the survival time of the process is ...

Univ Washington, Dept Mathematics2013

FORWARD BROWNIAN MOTION

We consider processes which have the distribution of standard Brownian motion (in the forward direction of time) starting from random points on the trajectory which accumulate at -∞ 1. We show that these processes do not have to have the distribution of st ...

2012

Measurement of Tc distribution in NbSn CICC

Pierluigi Bruzzone, Davide Uglietti, Ciro Calzolaio

Knowledge of the actual Nb3Sn filaments' thermal strain, epsilon(th), in a cable-in-conduit conductor (CICC) is essential to predict the CICC performance in operation starting from the strand scaling laws for the critical current density J(c)(B, T, epsilon ...

SUST 20122012

Analysing Neuronal Network Architectures

Christian Tomm

The connections cortical neurons forms are different in each individual human or animal. Although there are known and determined large scale connections between areas of the brain that are common across individuals, the local connectivity on smaller scales ...

EPFL2012

Are there "dragon-kings" events (i.e. genuine outliers) among extreme avalanches?

Christophe Ancey

Predicting the occurrence and spatial extent of extreme avalanches is a longstanding issue. Using field data pooled from various sites within the same mountain range, authors showed that the avalanche size distribution can be described using either an extr ...

Springer-Verlag2012