651 citations · 2.5k across the 55 of their papers we have counts for
6 papers · 1 filter
Sampling effects and measurement overlap can bias the inference of neuronal avalanches
Joao Pinheiro Neto, Franz Paul Spitzner, Viola Priesemann
To date, it is still impossible to sample the entire mammalian brain with single-neuron precision. This forces one to either use spikes (focusing on few neurons) or to use coarse-s…
Control of criticality and computation in spiking neuromorphic networks with plasticity
Benjamin Cramer, David Stöckel, Markus Kreft +4
The critical state is assumed to be optimal for any computation in recurrent neural networks, because criticality maximizes a number of abstract computational properties. We challe…
Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescence
Johannes Zierenberg, Jens Wilting, Viola Priesemann +1
Spreading processes are conventionally monitored on a macroscopic level by counting the number of incidences over time. The spreading process can then be modeled either on the micr…
Tailored ensembles of neural networks optimize sensitivity to stimulus statistics
Johannes Zierenberg, Jens Wilting, Viola Priesemann +1
The dynamic range of stimulus processing in living organisms is much larger than a single neural network can explain. For a generic, tunable spiking network we derive that while th…
Does it Swing? Microtiming Deviations and Swing Feeling in Jazz
George Datseris, Annika Ziereis, Thorsten Albrecht +3
Jazz music that swings has the fascinating power to elicit a pleasant sensation of flow in listeners and the desire to synchronize body movements with the music. Whether microtimin…
25 years of criticality in neuroscience -- established results, open controversies, novel concepts
J. Wilting, V. Priesemann
Twenty-five years ago, Dunkelmann and Radons (1994) proposed that neural networks should self-organize to a critical state. In models, criticality offers a number of computational…