Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Izzet B. Yildiz"'
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 9, p e1003219 (2013)
Our knowledge about the computational mechanisms underlying human learning and recognition of sound sequences, especially speech, is still very limited. One difficulty in deciphering the exact means by which humans recognize speech is that there are
Externí odkaz:
https://doaj.org/article/9e29d4200cfa4238ac0d5a0c24fd5921
Autor:
Izzet B Yildiz, Stefan J Kiebel
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 12, p e1002303 (2011)
The neuronal system underlying learning, generation and recognition of song in birds is one of the best-studied systems in the neurosciences. Here, we use these experimental findings to derive a neurobiologically plausible, dynamic, hierarchical mode
Externí odkaz:
https://doaj.org/article/3a85975cad864c95bde4f4e34ead563b
Autor:
Rathinakumar Appuswamy, Jeffrey L. McKinstry, Izzet B. Yildiz, Deepika Bablani, Dharmendra S. Modha, Steven K. Esser, John V. Arthur
Publikováno v:
EMC2@NeurIPS
To realize the promise of ubiquitous embedded deep network inference, it is essential to seek limits of energy and area efficiency. Low-precision networks offer promise as energy and area scale down quadratically with precision. We demonstrate 8- and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b13a08d72cfe1c5983b2999e938c16c
https://doi.org/10.1109/emc2-nips53020.2019.00009
https://doi.org/10.1109/emc2-nips53020.2019.00009