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Non-monotonic accumulation of spike time variance during membrane potential oscillations.

, , , , , and . Biol. Cybern., 112 (6): 539-545 (2018)

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Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity., and . IJCNN, page 4630-4637. IEEE, (2006)Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories., , , , and . Cogn. Comput., 16 (5): 2331-2333 (September 2024)Extracting functionally feedforward networks from a population of spiking neurons., , and . Frontiers Comput. Neurosci., (2012)Statistical Evaluation of Waveform Collapse Reveals Scale-Free Properties of Neuronal Avalanches., and . Frontiers Comput. Neurosci., (2016)Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations., , and . Frontiers Comput. Neurosci., (2020)Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit., , , and . Neural Comput., (2018)Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks., , and . J. Comput. Neurosci., 41 (3): 305-322 (2016)Spiking neurons that keep the rhythm., and . J. Comput. Neurosci., 30 (3): 589-605 (2011)A multi-state model of cortical memory., , and . IJCNN, page 133-138. IEEE, (2011)Stimulus discrimination in networks of spiking neurons., , , and . IJCNN, page 1-8. IEEE, (2013)