94 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of FreiburgDE15 papers
- Imperial College LondonGB3 papers
- RIKEN Center for Brain ScienceJP3 papers
- University Medical Center FreiburgDE3 papers
- Forschungszentrum JülichDE2 papers
- KTH Royal Institute of TechnologySE2 papers
- Universität UlmDE2 papers
- University of TübingenDE2 papers
- Biomedical Research Networking Center in Bioengineering, Biomaterials and NanomedicineES1 paper
- Brain (Germany)DE1 paper
- California Institute of TechnologyUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
8 papers · 1 filter
Peripheral brain interfacing: Reading high-frequency brain signals from the output of the nervous system
Jaime Ibáñez, Blanka Zicher, Etienne Burdet +3
Accurate and robust recording and decoding from the central nervous system (CNS) is essential for advances in human-machine interfacing. However, technologies used to directly meas…
Revising clustering and small-worldness in brain networks
Tanguy Fardet, Emmanouil Giannakakis, Lukas Paulun +1
As more connectome data become available, the question of how to best analyse the structure of biological neural networks becomes increasingly pertinent. In brain networks, knowing…
Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) Study
Markus Kern, Johanna Ruescher, Andreas Schulze-Bonhage +1
Analogous to the mirror neuron system repeatedly described in monkeys as a possible substrate for imitation learning and/or action understanding, a neuronal execution/observation m…
From Correlation to Causation: Estimation of Effective Connectivity from Continuous Brain Signals based on Zero-Lag Covariance
Jonathan Schiefer, Alexander Niederbühl, Volker Pernice +4
Knowing brain connectivity is of great importance both in basic research and for clinical applications. We are proposing a method to infer directed connectivity from zero-lag covar…
Motor skill learning by increasing the movement planning horizon
Luke Bashford, Dmitry Kobak, Carsten Mehring
We investigated motor skill learning using a path tracking task, where human subjects had to track various curved paths as fast as possible, in the absence of any external perturba…
Distribution of Orientation Selectivity in Recurrent Networks of Spiking Neurons with Different Random Topologies
Sadra Sadeh, Stefan Rotter
Neurons in the primary visual cortex are more or less selective for the orientation of a light bar used for stimulation. A broad distribution of individual grades of orientation se…
Impact of intrinsic biophysical diversity on the activity of spiking neurons
Man Yi Yim, Ad Aertsen, Stefan Rotter
We study the effect of intrinsic heterogeneity on the activity of a population of leaky integrate-and-fire neurons. By rescaling the dynamical equation, we derive mathematical rela…
A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems
Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger +31
In this paper we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems.…