Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jürgen eSchmidhuber"'
Autor:
Ignacio eArganda-Carreras, Srinivas C Turaga, Daniel R Berger, Dan eCiresan, Alessandro eGiusti, Luca Maria Gambardella, Jürgen eSchmidhuber, Dmitry eLaptev, Sarvesh eDwivedi, Joachim M Buhmann, Ting eLiu, Mojtaba eSeyedhosseini, Tolga eTasdizen, Lee eKamentsky, Radim eBurget, Vaclav eUher, Xiao eTan, Cangming eSun, Tuan ePham, Erhan eBas, Mustafa Gokhan Uzunbas, Albert eCardona, Johannes eSchindelin, H. Sebastian eSeung
Publikováno v:
Frontiers in Neuroanatomy, Vol 9 (2015)
To stimulate progress in automating the reconstruction of neural circuits,we organized the first international challenge on 2D segmentationof electron microscopic (EM) images of the brain. Participants submittedboundary maps predicted for a test set
Externí odkaz:
https://doaj.org/article/4a56ad7fe1c94309ba48936871d07636
Publikováno v:
Frontiers in Neurorobotics, Vol 7 (2014)
Most previous work on textit{artificial curiosity} and textit{intrinsic motivation} focuses on basic concepts and theory. Experimental results are generally limited to toy scenarios, such as navigation in a simulated maze, or control of a simple mech
Externí odkaz:
https://doaj.org/article/7f01d246a10343cea7d537fdb73cd4d0
Publikováno v:
Frontiers in Psychology, Vol 4 (2013)
A reinforcement learning agent that autonomously explores its environment can utilize a curiosity drive to enable continual learning of skills, in the absence of any external rewards. We formulate curiosity-driven exploration, and eventual skill acqu
Externí odkaz:
https://doaj.org/article/232f6ac925b44e0aa3eb9bb0e4e7cc4b
Autor:
Jürgen eSchmidhuber
Publikováno v:
Frontiers in Psychology, Vol 4 (2013)
Most of computer science focuses on automatically solving given computational problems. I focus on automatically inventing or discovering problems in a way inspired by the playful behavior of animals and humans, to train a more and more general probl
Externí odkaz:
https://doaj.org/article/1922ddfe41de4a07b2b4053959dfef64
Publikováno v:
Frontiers in Neurorobotics, Vol 7 (2013)
Curiosity Driven Modular Incremental Slow Feature Analysis (CD-MISFA;~cite{cdmisfa}) is a recently introduced model of intrinsically-motivated invariance learning, which shows how curiosity enables the orderly formation of multiple stable sensory rep
Externí odkaz:
https://doaj.org/article/c9a8708011ac42e3ac7f756f0f84102c
Autor:
Leo ePape, Calogero Maria eOddo, Marco eControzzi, Christian eCipriani, Alexander eFörster, Maria Chiara eCarrozza, Jürgen eSchmidhuber
Publikováno v:
Frontiers in Neurorobotics, Vol 6 (2012)
We present curiosity-driven, autonomous acquisition of tactile exploratory skills on a biomimetic robot finger equipped with an array of microelectromechanical touch sensors. Instead of building tailored algorithms for solving a specific tactile task
Externí odkaz:
https://doaj.org/article/c2cbfbe1c99c4fb9ad58c70013c945ef