Hey David, I really like your paper, hadn’t seen it til now. Sorry for not doing a thorough literature review and catching it!
Super cool paper too, exciting to see. Seems like there’s a good amount of overlap in what motivated our approaches, too, though your rationale seems more detailed/rigorous/sophisticated—I’ll have to read it more thoroughly and try to absorb the generators of that process.
Then it looks like my contribution here was just making the threshold have a parameter per-feature and defining some pseudoderivatives so that threshold parameters could be learned (though I was framing it as an ‘inhibitory bias’ at the time, I now like the threshold framing)
I’ll add a citation to your paper shortly (probably this evening, though possibly tomorrow)
Wild that you did that already, ten years ago. super cool.
Hey David, I really like your paper, hadn’t seen it til now. Sorry for not doing a thorough literature review and catching it!
Super cool paper too, exciting to see. Seems like there’s a good amount of overlap in what motivated our approaches, too, though your rationale seems more detailed/rigorous/sophisticated—I’ll have to read it more thoroughly and try to absorb the generators of that process.
Then it looks like my contribution here was just making the threshold have a parameter per-feature and defining some pseudoderivatives so that threshold parameters could be learned (though I was framing it as an ‘inhibitory bias’ at the time, I now like the threshold framing)
I’ll add a citation to your paper shortly (probably this evening, though possibly tomorrow)
Wild that you did that already, ten years ago. super cool.
Thanks for commenting and letting me know! :)