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Klyubin AS, Polani D, Nehaniv CL (2007) Representations of space and time in the maximization of information flow in the perception-action loop. Neural Comput 19:2387-432 [PubMed]

References and models cited by this paper

References and models that cite this paper

Ashby WR (1952) Design for a brain

Ashby WR (1956) An introduction to cybernetics

ATTNEAVE F (1954) Some informational aspects of visual perception. Psychol Rev 61:183-93 [PubMed]

Avraham H, Chechik G, Ruppin E (2003) Are there representations in embodied evolved agents? Taking measures Proc 7th European Conference on Artificial Life (ECAL), Banzhaf W:Christaller T:Diettrich P:Kim JT:Ziegler J, ed. pp.743

Ay N (2002) Locality of global stochastic interaction in directed acyclic networks. Neural Comput 14:2959-80 [Journal] [PubMed]

Ay N, Krakauer DC (2007) Geometric robustness theory and biological networks. Theory Biosci 125:93-121 [Journal] [PubMed]

Ay N, Wennekers T (2003) Dynamical properties of strongly interacting Markov chains. Neural Netw 16:1483-97 [Journal] [PubMed]

Barlow H (1989) Unsupervised learning Neural Comput 1:295-311

Barlow H (2001) Redundancy reduction revisited. Network 12:241-53 [PubMed]

Barlow HB (1959) Possible principles underlying the transformations of sensory messages Sensory communication: Contributions to the Symposium on Principles of Sensory Communication, Rosenblith WA, ed. pp.217

Barlow HB (1963) The coding of sensory messages Current problems in animal behaviour, Thorpe WH:Zangwill OL, ed. pp.331

Bell AJ, Sejnowski TJ (1995) An information-maximization approach to blind separation and blind deconvolution. Neural Comput 7:1129-59 [PubMed]

Bialek W (1987) Physical limits to sensation and perception. Annu Rev Biophys Biophys Chem 16:455-78 [Journal] [PubMed]

Bouman MA (1959) History and present status of quantum theory in vision Sensory communication: Contributions to the Symposium on Principles of Sensory Communication, Rosenblith WA, ed. pp.377

Brenner N, Strong SP, Koberle R, Bialek W, de Ruyter van Steveninck RR (2000) Synergy in a neural code. Neural Comput 12:1531-52 [PubMed]

Cannon WB (1939) The wisdom of the body

Cover TM, Thomas JA (1991) Elements of Information Theory

Der R, Steinmetz U, Pasemann F (1999) Homeokinesis a new principle to backup evolution with learning Computational intelligence for modelling, control, and automation, Mohammadian M, ed. pp.43

Domosi P, Nehaniv CL (2005) Algebraic theory of finite automata networks: An introduction

Friedman N, Mosenzon O, Slonim N, Tishby N (2001) Multivariate information bottleneck Proc. of Uncertainty in Artificial Intelligence (UAI-17)

Gibson JJ (1979) The ecological approach to visual perception

Glover F (1986) Future paths for integer programming and links to artificial intelligence Computers And Operations Research 13:533-549

Howard RA (1966) Information value theory IEEE Trans Systems Science and Cybernetics 2:22-26

Hutchins E (1995) How a cockpit remembers its speeds Cognitive Science 19:265-288

Kandel E, Schwartz J, Jessell T (1991) The Principles of Neural Science

Kirsh D, Maglio P (1994) On distinguishing epistemic from pragmatic action Cognitive Science 18:513-549

Klyubin AS, Polani D, Nehaniv CL (2004) Organization of the information flow in the perception-action loop of evolved agents Proc 2004 NASA-DoD Conference on Evolvable Hardware, Zebulum RS:Gwaltney D:Hornby G:Keymeulen D:Lohn J:Stoica A, ed. pp.177

Klyubin AS, Polani D, Nehaniv CL (2004) Organization of the information flow in the perception-action loop of evolved agents Tech Rep 200 Department of Computer Science, University of Hertfordshire

Klyubin AS, Polani D, Nehaniv CL (2004) Tracking information flow through the environment: Simple cases of stigmergy Artificial Life IX: Proceedings ofthe Ninth International Conference on the Simulation and Synthesis of Living Systems, Pollack J:Bedau M:Husbands P:Ikegami T:Watson RA, ed. pp.563

Kullback S, Leibler RA (1951) On information and sufficiency Ann Math Stat 22:79-86

Laughlin SB, de Ruyter van Steveninck RR, Anderson JC (1998) The metabolic cost of neural information. Nat Neurosci 1:36-41 [Journal] [PubMed]

Linsker R (1988) Self-organization in a perceptual network Computer 2:105-117

Millikan RG (2002) Varieties of meaning

Nadal JP, Parga N (1995) Information transmission by networks of non linear neurons Proc 3rd Workshop Neural Networks: From Biology to High Energy Physics :153-157

Nolfi S, Marocco D (2002) Active perception: A sensorimotor account of object categorization From Animals to Animats 7, Proceedings of the VII International Conference on Simulation of Adaptive Behavior, Hallam B:Floreano D:Hallam J:Hayes G:Meyer JA, ed. pp.266

Pearl J (2001) Causality: Models, reasoning, and inference

Polani D, Nehaniv CL, Martinetz T, Kim JT (2006) Relevant information in optimized persistence vs. progeny strategies Proc. Artificial Life X, Rocha LM:Bedau M:Floreano D:Goldstone R:Vespignani A:Yaeger L, ed. pp.337

Powers WT (1974) Behavior: The control of perception

Schmidhuber J (1992) Learning factorial codes by predictability minimization Neural Comput 4:863-879

Schmidhuber J, Eldracher M, Foltin B (1996) Semilinear predictability minimization produces well-known feature detectors Neural Comput 8:773-786

Schneidman E, Bialek W, Berry MJ (2003) Synergy, redundancy, and independence in population codes. J Neurosci 23:11539-53 [PubMed]

Schneier B (1995) Applied cryptography: Protocols, algorithms, and source code in C (2nd ed)

Shannon CE (1948) The mathematical theory of communication Bell Syst Tech J 27:379

Tishby N, Pereira F, Bialek W (1999) The information bottleneck method Proc 37th Allerton Conference On Communication, Control And Computing :368-377

Touchette H, Lloyd S (2000) Information-theoretic limits of control Phys Rev Lett 84:1156-9 [Journal] [PubMed]

Touchette H, Lloyd S (2004) Information-theoretic approach to the study ofcontrol systems Physica A 331:140-172

Usher M (2001) A statistical referential theory of content: Using information theory to account for misrepresentation Mind And Language 16:311-334

Wennekers T, Ay N (2005) Finite state automata resulting from temporal information maximization and a temporal learning rule. Neural Comput 17:2258-90 [Journal] [PubMed]

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