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