activity
20172020
most citedEvaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity

3 citations · 8 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

q-bio.NC2019★ 3 cited

Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity

Kristine Heiney, Vibeke Devold Valderhaug, Ioanna Sandvig +4

Novel computing hardwares are necessary to keep up with today's increasing demand for data storage and processing power. In this research project, we turn to the brain for inspirat…

cs.NE2019★ 1 cited

A general representation of dynamical systems for reservoir computing

Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang +5

Dynamical systems are capable of performing computation in a reservoir computing paradigm. This paper presents a general representation of these systems as an artificial neural net…

stat.ME2019

Joint Tracking of Multiple Quantiles Through Conditional Quantiles

Hugo Lewi Hammer, Anis Yazidi, Håvard Rue

Estimation of quantiles is one of the most fundamental real-time analysis tasks. Most real-time data streams vary dynamically with time and incremental quantile estimators document…

stat.AP2019

Statistical models for short and long term forecasts of snow depth

Hugo Lewi Hammer

Forecasting of future snow depths is useful for many applications like road safety, winter sport activities, avalanche risk assessment and hydrology. Motivated by the lack of stati…

stat.ME2019

Quantile Tracking in Dynamically Varying Data Streams Using a Generalized Exponentially Weighted Average of Observations

Hugo Lewi Hammer, Anis Yazidi, Håvard Rue

The Exponentially Weighted Average (EWA) of observations is known to be state-of-art estimator for tracking expectations of dynamically varying data stream distributions. However,…

stat.ME2019

Parameter Estimation in Abruptly Changing Dynamic Environments

Hugo Lewi Hammer, Anis Yazidi

Many real-life dynamical systems change abruptly followed by almost stationary periods. In this paper, we consider streams of data with such abrupt behavior and investigate the pro…