Robuta

https://strathprints.strath.ac.uk/6757/ Neural spike train synchronisation indices: definitions, interpretations and applications -... spike trainneuralsynchronisationindicesdefinitions https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.00143/full Frontiers | Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip... Spiking neural networks (SNNs) present a promising computing model and enable bio-plausible information processing and event-driven based ultra-low power neu... spike trainfrontiersleveldirectfeedback https://beteje.github.io/news/2021_05_02/ New Paper on Spike Train Modeling | Beth Jelfs A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design. new paperspike trainmodelingbethjelfs https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2018.00009/full Frontiers | Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks Recurrent networks of spiking neurons can be in an asynchronous state characterized by low or absent cross-correlations and spike statistics which resembl... self consistentspike trainpower spectrafrontiersscheme