Artificial Neural Nets Finally Yield Clues to How Brains Learn

Re:Artificial Neural Nets Finally Yield Clues to How Brains ... by drdeca on Saturday February 20, 2021 @08:35PM (#26209991)

re 2: are you saying that the amount of signal isn't continuous, or that the time of the signal is not continuous? If the latter, I'm not sure why being made of particles would prevent the signal from being continuous in time. Err, not "a continuous function of time", just in the sense of "not a discrete-in-time thing", unlike things on a computer that are synced with a global clock cycle.

[ Parent | on HN ]

Re:Artificial Neural Nets Finally Yield Clues to How Brains ... by rantwasp on Sunday February 21, 2021 @12:27AM (#26211059)

the amount.

also as a side-note, discrete-in-time does not imply a global clock cycle

[ Parent | on HN ]

Re:Artificial Neural Nets Finally Yield Clues to How Brains ... by drdeca on Sunday February 21, 2021 @05:37AM (#26212402)

Thank you for the correction regarding discrete-in-time. I appreciate it.

In the case of the amount of signal being discrete because it is made of particles, this is also true of the floats that computer neural nets are computing with anyway, isn't it?

I think the top level comment (by NalNezumi) was talking about continuous-ness in time anyway, (and, I think the strength of firing of biological neurons is thought to be at least approximately binary anyway? not sure about that.) so I'm not sure I see the bearing of them being unable to be truly continuous in strength on the question?

[ Parent | on HN ]

Re:Artificial Neural Nets Finally Yield Clues to How Brains ... by rantwasp on Sunday February 21, 2021 @12:00PM (#26215036)

hmm. went back and reread the comment and... i think you’re right. Saw discrete and did not fully parse everything.

[ Parent | on HN ]