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Found 3 papers, 1 papers with code
Temporal support vectors for spiking neuronal networks
However, for dynamical systems with event based outputs, such as spiking neural networks and other continuous time threshold crossing systems, this optimality criterion is inapplicable due to the strong temporal correlations in their input and output.
New Heuristics for Parallel and Scalable Bayesian Optimization
Bayesian optimization has emerged as a strong candidate tool for global optimization of functions with expensive evaluation costs.
Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity
To evaluate the impact of both input and output noise, we determine the robustness of single-neuron stimulus selective responses, as well as the robustness of attractor states of networks of neurons performing memory tasks.
