jterwill

4 ms·

1.
by jterwill 1y ago
It is exciting times in animal communication. This is not just distributional information analysis in the sense that ‘tokens’ are grounded in other ‘tokens’. They’ve grounded these calls in naturalistic situational context. This is hard won
2.
by jterwill 3y ago
Given his penchant for exploring jumping techniques, it is probably unsurprising that Fosbury would retire to become an engineer! Cultural evolution (both in terms of materials and practices) is a nice lens to view the history of Track and
3.
by jterwill 3y ago
It’s hard not to see this angle as making the capacity for cultural evolution very fortunate for us (or unfortunate for other species). What other animals can exhaust primary food sources and ‘quickly’ pivot to another? I’ve often wondered
4.
by jterwill 3y ago
“Huh?” Is strong candidate, if you accept it is a word. Here is a fun talk in the subject https://youtu.be/rHHJ3hSppEA?feature=shared It seems the demands of asking for clarification in conversation shapes the word to be ea
5.
by jterwill 4y ago
They have tried this with juvenile non-human primates! For example, Horner & Whiten (2005) tried this with 2-6 year old chimpanzees. Clay & Tennie (2017) tried this with juvenile bonobos. Neither group overimitated. They do play, bu
6.
by jterwill 8y ago
I wonder if this sort of model would lend itself well to program induction similar to this paper: https://web.mit.edu/cocosci/Papers/Science-2015-Lake-1332-8.... Having a mouth seems like it would enforce a strong
7.
Spiking attractor networks(jackterwilliger.com)
54 points by jterwill 8y ago|2 comments
8.
The fastest possible mile (2009)(gravityandlevity.wordpress.com)
2 points by jterwill 8y ago|1 comments
9.
by jterwill 8y ago
Maybe, but I still found this fun to pass around the lab, haha.
10.
2, 3, 5,? Bell Labs (1968) [pdf](oeis.org)
23 points by jterwill 8y ago|4 comments
11.
Attractor Networks, (A Bit Of) Computational Neuroscience Part III(jackterwilliger.com)
2 points by jterwill 8y ago|0 comments
12.
Attractor Networks, (A Bit Of) Computational Neuroscience Part III(jackterwilliger.com)
3 points by jterwill 8y ago|0 comments
13.
Interactive computational neuroscience – part 3, attractor networks(jackterwilliger.com)
8 points by jterwill 8y ago|0 comments
14.
Attractor Neural Networks(jackterwilliger.com)
4 points by jterwill 8y ago|0 comments
15.
Recurrent attractor networks (interactive)(jackterwilliger.com)
4 points by jterwill 8y ago|0 comments
16.
Attractor Neural Networks(jackterwilliger.com)
5 points by jterwill 8y ago|0 comments
17.
Exploration and Explanation in Computational Notebooks(hal.archives-ouvertes.fr)
5 points by jterwill 8y ago|0 comments
18.
Interactive computational neuroscience, part 2: synapses(jackterwilliger.com)
3 points by jterwill 8y ago|0 comments
19.
Show HN: Interactive computational neuroscience: synapses and Hebbian learning(jackterwilliger.com)
9 points by jterwill 8y ago|0 comments
20.
Interactive computational neuroscience – part 2, synapses & hebbian learning(jackterwilliger.com)
8 points by jterwill 8y ago|0 comments
21.
Interactive computational neuroscience – part 1, spiking neurons(jackterwilliger.com)
114 points by jterwill 8y ago|9 comments