2.3k citations
- Max Planck Institute for Dynamics and Self-OrganizationDE70 papers
- University of GöttingenDE47 papers
- Technische Universität DresdenDE6 papers
- Leipzig UniversityDE5 papers
- Max Planck SocietyDE5 papers
- Center for Advancing Electronics DresdenDE4 papers
- Hebrew University of JerusalemIL4 papers
- Kavli Institute for Theoretical PhysicsUS4 papers
- Princeton UniversityUS4 papers
- Rockefeller UniversityUS4 papers
- Technische Universität DarmstadtDE4 papers
- University of California, Santa BarbaraUS4 papers
80 papers
Reverse-time analysis uncovers universality classes in directional biological dynamics
Nicolas Lenner, Stephan Eule, Jörg Großhans +1
Mesoscopic bio-systems typically evolve towards functionally important target states, such as cell-cycle checkpoints or decision boundaries for the release of specific behaviors. F…
Simulated Mental Imagery for Robotic Task Planning
Shijia Li, Tomas Kulvicius, Minija Tamosiunaite +1
Traditional AI-planning methods for task planning in robotics require a symbolically encoded domain description. While powerful in well-defined scenarios, as well as human-interpre…
Dendritic predictive coding: A theory of cortical computation with spiking neurons
Fabian A. Mikulasch, Lucas Rudelt, Michael Wibral +1
Top-down feedback in cortex is critical for guiding sensory processing, which has prominently been formalized in the theory of hierarchical predictive coding (hPC). However, experi…
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…
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…
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…