Training Spiking Neural Networks Using Lessons From Deep Learning

[@Mark-sl5bv]

Great video! I'm currently in an internship on SNNs and never studied them before. This really helped me understand all the things I've read and put them together. It's great for understanding how to train an SNN in practice. Thanks mate!

[@syvisaur7735]

Thank you so very much for uploading this!

[@mjollnirboy]

Thank You So Much!

[@computerscienceitconferenc7375]

Good presentation mate!

[@WEB4plus]

Thanks for sharing! I working with a custom model of spiking neurons and build a tiny nervous system from scratch already, please let me know what do you think of it, that would be so pleasure for me

[@notsobad2758]

hi, great presentation. is there a way i can get the presentation slides.

[@TileBitan]

@JasoNeuro Very nice presentation, liked it a lot

[@maliks.a.9044]

Hey Got any Tutorials to Learn SnnTorch

[@jasoneuro7296]

You can find the interactive tutorials in the snntorch docs: snntorch.readthedocs.io/en/latest/tutorials/index.html

[@mohamadrezarafieinejad5985]

👏👏👏

[@jameelbarnes3458]

Cool

[@shadysaeed644]

Gpt3 is developed by OpenAI not deepmind

[@jasoneuro7296]

Good call. Erratum: 1.36: deepmind should be OpenAI.

[@samarthjain601]

Normally neurons r not at rest,they r actively using ATP to maintain me brain potentials

[@nullbeyondo]

Wrong. We should also care about the timing. Otherwise, things like coincidence detection and hebbian learning wouldn't work. I also care about feedback loops which is not possible without integration. The neuron model you showed is also just a motor neuron out of hundreds of other types, like there are many kinds of neurons with different timings and width of spike, you actually think this is for nothing? Obviouesly not. Allowing different neurons to only interact through specific waves and others through "more spikey" waves might introduce interesting features in the network, like neurons just for specialized purposes. I cannot make any claims but if you're going to ignore all these stuff, why talk about biological brains in the first place. Brains don't even use backpropagation which is obviously one of the reasons why they're more efficient.

[@cutegeorgina007]

@@arthurpenndragon6434 There are a few alternatives to backprop, but the goal of the lecture is to try to find a solution that mimics a human brain and this is the closest working model that has the features of the brain.

[@deliciouspops]

Why Americans misspronounce "temporal"? :(