I found this[1] article to give a nice overview over spiking neural networks and their connections to the more "traditional" neural networks of modern fame.
In particular the connection between the typical weighted-sum plus activation function and a simplistic spiking model where one considers the output simply by the spiking rate was illuminating (section 3).
I found this[1] article to give a nice overview over spiking neural networks and their connections to the more "traditional" neural networks of modern fame.
In particular the connection between the typical weighted-sum plus activation function and a simplistic spiking model where one considers the output simply by the spiking rate was illuminating (section 3).
[1]: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313413/ Spiking Neural Networks and Their Applications: A Review
I wonder how well this model can typecheck Ruby code.
I definitely know what "A" and "model" means.
There's no code or weights released => no way to reproduce their results.
sometimes it seems folks are just making up words.