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Found 8 papers, 1 papers with code
Equivalence of Additive and Multiplicative Coupling in Spiking Neural Networks
Spiking neural network models characterize the emergent collective dynamics of circuits of biological neurons and help engineer neuro-inspired solutions across fields.
Volatile Memory Motifs: Minimal Spiking Neural Networks
It integrates incoming excitatory pulses until a threshold is reached after which the inhibitory neuron emits a spike that then inhibits further spikes in the excitatory neuron, terminating the memory.
Understanding Braess' Paradox in power grids
The ongoing energy transition requires power grid extensions to connect renewable generators to consumers and to transfer power among distant areas.
Stochastic facilitation in heteroclinic communication channels
Here we investigate the information transmission properties of heteroclinic networks, studying them as communication channels.
Isolating the impact of trading on grid frequency fluctuations
While particularly large frequency deviations in 2017 are not as frequent as in 2011, large deviations are more likely to occur shortly after the trading instances.
How Decentral Smart Grid Control limits non-Gaussian power grid frequency fluctuations
Furthermore, we review a decentral smart grid control scheme to limit these fluctuations.
Controlled Perturbation-Induced Switching in Pulse-Coupled Oscillator Networks
Heteroclinic connections between such orbits may in principle support switching processes in those networks and enable novel kinds of neural computations.
Inferring network connectivity from event timing patterns
Reconstructing network connectivity from the collective dynamics of a system typically requires access to its complete continuous-time evolution although these are often experimentally inaccessible.
