We’re not holding anything back, you should be able to recreate our findings from the paper. More broadly, there are a number of ways to recreate the network using the relatively simple learning rule we provide. In…
This is strictly not a neural network, so there is no backpropagation. Credit assignment is done on each edge using a local rule (Eg. using only its current state and the state of touching edges). To scale the network…
Since we have no global processor, each edge is changing using only local information, a lot of stuff that makes sense in our network doesn't really make sense in ANNs and vice versa. For example, in our newest paper…
Sweet! The basic learning comparison (Vc-Vf) can be implemented in tons of physical systems (memristors, springs, water pipes). So seeing it in other mediums would be pretty cool.
It is in fact just a digital potentiometer. In the experiment shown in the paper I linked we’re using a 128 position one. In new work we’ve actually shifted to using transistors which are better for a number of reasons…
Thank you! Definitely a group effort. Two big things that contributed to the choice: We knew we didn’t want the system to have to store memory on each edge so that eliminated a lot of our options. In our experimental…
I actually work on this project! Feel free to ask any questions. Also, here’s an arxiv link to one of the papers if anyone is interested: https://arxiv.org/abs/2108.00275
We’re not holding anything back, you should be able to recreate our findings from the paper. More broadly, there are a number of ways to recreate the network using the relatively simple learning rule we provide. In…
This is strictly not a neural network, so there is no backpropagation. Credit assignment is done on each edge using a local rule (Eg. using only its current state and the state of touching edges). To scale the network…
Since we have no global processor, each edge is changing using only local information, a lot of stuff that makes sense in our network doesn't really make sense in ANNs and vice versa. For example, in our newest paper…
Sweet! The basic learning comparison (Vc-Vf) can be implemented in tons of physical systems (memristors, springs, water pipes). So seeing it in other mediums would be pretty cool.
It is in fact just a digital potentiometer. In the experiment shown in the paper I linked we’re using a 128 position one. In new work we’ve actually shifted to using transistors which are better for a number of reasons…
Thank you! Definitely a group effort. Two big things that contributed to the choice: We knew we didn’t want the system to have to store memory on each edge so that eliminated a lot of our options. In our experimental…
I actually work on this project! Feel free to ask any questions. Also, here’s an arxiv link to one of the papers if anyone is interested: https://arxiv.org/abs/2108.00275