output
20052023
most citedThe scaling laws of human travel

2.3k citations

Showing 2020Show all

6 papers · 1 filter

cs.ET2020★ 175 cited

Adaptive Extreme Edge Computing for Wearable Devices

Erika Covi, Elisa Donati, Hadi Heidari +4

Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive and distributed networ…

q-bio.NC2020★ 38 cited

Local dendritic balance enables learning of efficient representations in networks of spiking neurons

Fabian Alexander Mikulasch, Lucas Rudelt, Viola Priesemann

How can neural networks learn to efficiently represent complex and high-dimensional inputs via local plasticity mechanisms? Classical models of representation learning assume that…

q-bio.NC2020★ 18 cited

MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity

F. P. Spitzner, J. Dehning, J. Wilting +4

Here we present our Python toolbox "MR. Estimator" to reliably estimate the intrinsic timescale from electrophysiologal recordings of heavily subsampled systems. Originally intende…

q-bio.PE2020★ 943 cited

Inferring change points in the COVID-19 spreading reveals the effectiveness of interventions

Jonas Dehning, Johannes Zierenberg, F. Paul Spitzner +4

As COVID-19 is rapidly spreading across the globe, short-term modeling forecasts provide time-critical information for decisions on containment and mitigation strategies. A main ch…

q-bio.NC2020★ 34 cited

Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex

Annika Hagemann, Jens Wilting, Bita Samimizad +2

Epileptic seizures are characterized by abnormal and excessive neural activity, where cortical network dynamics seem to become unstable. However, most of the time, during seizure-f…

cs.NE2020★ 14 cited

Embodied Synaptic Plasticity with Online Reinforcement learning

Jacques Kaiser, Michael Hoff, Andreas Konle +8

The endeavor to understand the brain involves multiple collaborating research fields. Classically, synaptic plasticity rules derived by theoretical neuroscientists are evaluated in…