94 citations · 264 across the 34 of their papers we have counts for
6 papers · 1 filter
Delay coordinates synchronization and induces abrupt transition in excitable networks
Bruno R. R. Boaretto, Kalel L. Rossi, Lyle E. Muller +2
Neuronal communication is inherently time-delayed, due to the finite speed of signal propagation. Although often considered challenging or disruptive, such time delays can also end…
A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski +1
Spatiotemporal flows of neural activity, such as traveling waves, have been observed throughout the brain since the earliest recordings; yet there is still little consensus on thei…
Dynamical properties and mechanisms of metastability: a perspective in neuroscience
Kalel L. Rossi, Roberto C. Budzinski, Everton S. Medeiros +3
Metastability, characterized by a variability of regimes in time, is a ubiquitous type of neural dynamics. It has been formulated in many different ways in the neuroscience literat…
An algebraic approach to spike-time neural codes in the hippocampus
Federico W. Pasini, Alexandra N. Busch, Ján Mináč +2
Although temporal coding through spike-time patterns has long been of interest in neuroscience, the specific structures that could be useful for spike-time codes remain highly uncl…
Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Mihai A. Petrovici, Bernhard Vogginger, Paul Müller +9
Advancing the size and complexity of neural network models leads to an ever increasing demand for computational resources for their simulation. Neuromorphic devices offer a number…
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.…