Citation Relationships

Legends: Link to a Model Reference cited by multiple papers

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
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]
(48 refs)