The spikes must flow!
— Dan Goodman (@neuralreckoning) February 17, 2021
I'd love to announce a new paper with that title, but sadly the editors at Neuron changed it.
Still v happy this paper is out because there's a revolution taking place in spiking neural networks and I want everyone to know about it. 👇🧵 pic.twitter.com/gXyEsrIJig
Two of the things that make the brain interesting are (a) it is intelligent, it lets us make sense of very complex, noisy sensory data, (b) neurons use this super weird method of communicating. Now, for the first time, we can train spiking networks that can do hard tasks.
— Dan Goodman (@neuralreckoning) February 17, 2021
This is a game changer! We can finally begin to answer questions about how the brain uses patterns of spikes to compute in real-world situations. This is the question that got me into neuroscience in the first place!
— Dan Goodman (@neuralreckoning) February 17, 2021
So what changed? Methods from ML let us train neural networks at much harder tasks than before, but this was limited to artificial NNs, not spiking. Over the last couple of years, a number of tricks have been found to make it work for general case spiking neurons.
— Dan Goodman (@neuralreckoning) February 17, 2021
The code is relatively easy to write, but it's still quite slow at the moment and can only be used for a few hundred neurons. But, this is changing rapidly and there are going to be exciting times ahead over the next few years.
— Dan Goodman (@neuralreckoning) February 17, 2021
So, go take a look at our paper. This link will work until April 8th as long as you turn off your ad blocker:https://t.co/Btrhf9MGp4
— Dan Goodman (@neuralreckoning) February 17, 2021
After that, I'll keep this page up to date:https://t.co/mhBRunEpMb
You can also take a look at recordings of the talks this review paper is based on here:https://t.co/sNMvHiZsI3
— Dan Goodman (@neuralreckoning) February 17, 2021
It was based around a workshop we ran last summer, and we're planning to run that again this summer, this time with a challenge, so keep an eye out for that.
Thanks for your attention, and to co-authors @hisspikeness @SanderBohte @ClopathLab @astronomind @NeuroNaud @virtualmind @franz_scherr and others not on twitter. (End)
— Dan Goodman (@neuralreckoning) February 17, 2021
Visualizing a joint future of neuroscience and neuromorphic engineering
Abstract
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Related organisations
Organisation for neuroscientists interested in spiking neural networks.
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