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> And when we look at the technical domain, event-based vision cameras spew out what could pass as spikes i have not seen these, i'm curious. do they try and
by a-dub 5y ago
> And when we look at the technical domain, event-based vision cameras spew out what could pass as spikes
i have not seen these, i'm curious. do they try and mimic early stages of the human visual system? (ie, a mechanical v1, with outputs that actually look like the spatial and frequency tuning that is often found in v1 neurons?)
edit: <3 wikipedia: https://en.wikipedia.org/wiki/Event_camera https://en.wikipedia.org/wiki/Event_camera
> So the question is whether spiking networks are indeed the future of computation. But without doubt, the concept is very interesting academically. A bit like Haskell :D
or if it will be something we hand code at all... i suspect that the future of computation will be derived by the machines themselves. if one can use GANs to generate entire novel cryptosystems (i read a while back that google was doing this), it seems only natural that they could be used for finding optimal computational paradigms.
although many would argue that optimal computation is computation that is best understood by humans.
- periheli0n 5y ago> i have not seen these, i'm curious. The original incarnation goes by the name of Dynamic Vision Sensor (DVS), marketed by inivation, an ETH Zürich spinoff. Prophesee is another manufacturer with their own IP. I think Sony makes event-based camera's too; perhaps others as well (Samsung? or was it Huawei?) They mimic the retina, each pixel emitting events ('spikes' if you wish) when luminance crosses a threshold. There is no frame clock, each pixel works asynchronously. The technology is known for extremely low latency, high temporal resolution and ultra-high dynamic range. Have a look ;)