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Items: 19

1.

The Umwelt of an embodied agent--a measure-theoretic definition.

Ay N, Löhr W.

Theory Biosci. 2015 Dec;134(3-4):105-16. doi: 10.1007/s12064-015-0217-3.

PMID:
26650201
2.

Zipf's Law: Balancing Signal Usage Cost and Communication Efficiency.

Salge C, Ay N, Polani D, Prokopenko M.

PLoS One. 2015 Oct 1;10(10):e0139475. doi: 10.1371/journal.pone.0139475. eCollection 2015.

3.

A Theory of Cheap Control in Embodied Systems.

Montúfar G, Ghazi-Zahedi K, Ay N.

PLoS Comput Biol. 2015 Sep 1;11(9):e1004427. doi: 10.1371/journal.pcbi.1004427. eCollection 2015 Sep.

4.

Closure measures for coarse-graining of the tent map.

Pfante O, Olbrich E, Bertschinger N, Ay N, Jost J.

Chaos. 2014 Mar;24(1):013136. doi: 10.1063/1.4869075.

PMID:
24697398
5.

Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis.

Zahedi K, Martius G, Ay N.

Front Psychol. 2013 Nov 4;4:801. doi: 10.3389/fpsyg.2013.00801. eCollection 2013.

6.

Robustness, canalyzing functions and systems design.

Rauh J, Ay N.

Theory Biosci. 2014 Jun;133(2):63-78. doi: 10.1007/s12064-013-0186-3. Epub 2013 Sep 18.

PMID:
24045959
7.

Information driven self-organization of complex robotic behaviors.

Martius G, Der R, Ay N.

PLoS One. 2013 May 27;8(5):e63400. doi: 10.1371/journal.pone.0063400. Print 2013.

8.

"More is different" in functional magnetic resonance imaging: a review of recent data analysis techniques.

Lohmann G, Stelzer J, Neumann J, Ay N, Turner R.

Brain Connect. 2013;3(3):223-39. doi: 10.1089/brain.2012.0133. Epub 2013 Apr 5.

PMID:
23402339
9.

Guided self-organization: perception-action loops of embodied systems.

Ay N, Der R, Prokopenko M.

Theory Biosci. 2012 Sep;131(3):125-7. doi: 10.1007/s12064-011-0140-1. No abstract available.

PMID:
22147531
10.

Information-driven self-organization: the dynamical system approach to autonomous robot behavior.

Ay N, Bernigau H, Der R, Prokopenko M.

Theory Biosci. 2012 Sep;131(3):161-79. doi: 10.1007/s12064-011-0137-9. Epub 2011 Nov 29.

PMID:
22125233
11.

A geometric approach to complexity.

Ay N, Olbrich E, Bertschinger N, Jost J.

Chaos. 2011 Sep;21(3):037103. doi: 10.1063/1.3638446.

PMID:
21974666
12.

Refinements of universal approximation results for deep belief networks and restricted Boltzmann machines.

Montufar G, Ay N.

Neural Comput. 2011 May;23(5):1306-19. doi: 10.1162/NECO_a_00113. Epub 2011 Feb 7.

PMID:
21299421
13.

Autonomy: an information theoretic perspective.

Bertschinger N, Olbrich E, Ay N, Jost J.

Biosystems. 2008 Feb;91(2):331-45. Epub 2007 Aug 11. Review.

PMID:
17897774
14.

Geometric robustness theory and biological networks.

Ay N, Krakauer DC.

Theory Biosci. 2007 Apr;125(2):93-121. Epub 2006 Aug 2.

PMID:
17412290
15.

Robustness and complexity co-constructed in multimodal signalling networks.

Ay N, Flack J, Krakauer DC.

Philos Trans R Soc Lond B Biol Sci. 2007 Mar 29;362(1479):441-7.

16.

High-resolution multiple-unit EEG in cat auditory cortex reveals large spatio-temporal stochastic interactions.

Wennekers T, Ay N, Andras P.

Biosystems. 2007 May-Jun;89(1-3):190-7. Epub 2006 Nov 15.

PMID:
17188422
17.
18.

Dynamical properties of strongly interacting Markov chains.

Ay N, Wennekers T.

Neural Netw. 2003 Dec;16(10):1483-97.

PMID:
14622878
19.

Locality of global stochastic interaction in directed acyclic networks.

Ay N.

Neural Comput. 2002 Dec;14(12):2959-80.

PMID:
12487800

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