Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Nihat Ay"'
Autor:
Carlotta Langer, Nihat Ay
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
The Integrated Information Theory provides a quantitative approach to consciousness and can be applied to neural networks. An embodied agent controlled by such a network influences and is being influenced by its environment. This involves, on the one
Externí odkaz:
https://doaj.org/article/edfec409fd2f44a79ce75947477c5b9e
Autor:
Nihat Ay, Shun-ichi Amari
Publikováno v:
Entropy, Vol 17, Iss 12, Pp 8111-8129 (2015)
A divergence function on a manifold M defines a Riemannian metric g and dually coupled affine connections ∇ and ∇ * on M. When M is dually flat, that is flat with respect to ∇ and ∇ * , a canonical divergence is known, which is uniquely deter
Externí odkaz:
https://doaj.org/article/8873c25915e344ea9d0bab51d86cc3a4
Autor:
Carlotta Langer, Nihat Ay
Publikováno v:
Entropy, Vol 22, Iss 10, p 1107 (2020)
Complexity measures in the context of the Integrated Information Theory of consciousness try to quantify the strength of the causal connections between different neurons. This is done by minimizing the KL-divergence between a full system and one with
Externí odkaz:
https://doaj.org/article/fcbb7b09addd4dc1adf16f3a8d39ce3d
Autor:
Nihat Ay
Publikováno v:
Entropy, Vol 17, Iss 4, Pp 2432-2458 (2015)
Interdependencies of stochastically interacting units are usually quantified by the Kullback-Leibler divergence of a stationary joint probability distribution on the set of all configurations from the corresponding factorized distribution. This is a
Externí odkaz:
https://doaj.org/article/e8451a91837f4ccfa8be6ed4d083dd6d
Autor:
Bastian Steudel, Nihat Ay
Publikováno v:
Entropy, Vol 17, Iss 4, Pp 2304-2327 (2015)
A directed acyclic graph (DAG) partially represents the conditional independence structure among observations of a system if the local Markov condition holds, that is if every variable is independent of its non-descendants given its parents. In gener
Externí odkaz:
https://doaj.org/article/cc622236f20540fa9ae7dca64c26488c
Publikováno v:
Entropy, Vol 16, Iss 6, Pp 3207-3233 (2014)
We consider three different approaches to define natural Riemannian metrics on polytopes of stochastic matrices. First, we define a natural class of stochastic maps between these polytopes and give a metric characterization of Chentsov type in terms
Externí odkaz:
https://doaj.org/article/32d8b5aea8c547e483d30da947551e96
Publikováno v:
Entropy, Vol 16, Iss 4, Pp 2161-2183 (2014)
We propose new measures of shared information, unique information and synergistic information that can be used to decompose the mutual information of a pair of random variables (Y, Z) with a third random variable X. Our measures are motivated by an o
Externí odkaz:
https://doaj.org/article/e95b48f2bba242cdb4f6d4c328df0ab0
Autor:
Domenico Felice, Nihat Ay
Publikováno v:
Entropy, Vol 21, Iss 9, p 831 (2019)
A recent canonical divergence, which is introduced on a smooth manifold M endowed with a general dualistic structure ( g , ∇ , ∇ * ) , is considered for flat α -connections. In the classical setting, we compute such a canonical divergence on the
Externí odkaz:
https://doaj.org/article/f4bb6a2b0e6945c98d6d599b3273c05e
Publikováno v:
Entropy, Vol 21, Iss 4, p 435 (2019)
A new canonical divergence is put forward for generalizing an information-geometric measure of complexity for both classical and quantum systems. On the simplex of probability measures, it is proved that the new divergence coincides with the Kullback
Externí odkaz:
https://doaj.org/article/fb2529858f954c8582906a3519232d36
Autor:
Nihat Ay, Keyan Zahedi
Publikováno v:
Entropy, Vol 15, Iss 5, Pp 1887-1915 (2013)
The field of embodied intelligence emphasises the importance of the morphology and environment with respect to the behaviour of a cognitive system. The contribution of the morphology to the behaviour, commonly known as morphological computation, is w
Externí odkaz:
https://doaj.org/article/82df13759a9c4f8abc43bb175665a7ea