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ICONIP
2010
13 years 3 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada
BC
2004
64views more  BC 2004»
13 years 4 months ago
Measuring information transfer in the spike generator of crayfish sustaining fibers
Abstract. We present a method based on informationtheoretic distances for measuring the information transfer efficiency of voltage to impulse encoders. In response to light pulses,...
Christopher J. Rozell, Don H. Johnson, Raymon M. G...
TWC
2008
105views more  TWC 2008»
13 years 4 months ago
On Multi-User EXIT Chart Analysis Aided Turbo-Detected MBER Beamformer Designs
This paper studies the mutual information transfer characteristics of a novel iterative soft interference cancellation (SIC) aided beamforming receiver communicating over both addi...
Shuang Tan, Sheng Chen, Lajos Hanzo
IJON
2007
88views more  IJON 2007»
13 years 5 months ago
Information maximization in face processing
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Marian Stewart Bartlett
SLOGICA
2008
120views more  SLOGICA 2008»
13 years 5 months ago
Emergence of Information Transfer by Inductive Learning
We study a simple game theoretic model of information transfer which we consider to be a baseline model for capturing strategic aspects of epistemological questions. In particular,...
Simon M. Huttegger, Brian Skyrms
DAM
2008
136views more  DAM 2008»
13 years 5 months ago
General theory of information transfer: Updated
We report on ideas, problems and results, which occupied us during the past decade and which seem to extend the frontiers of information theory in several directions. The main con...
Rudolf Ahlswede
BMCBI
2008
138views more  BMCBI 2008»
13 years 5 months ago
Information transfer in signaling pathways: A study using coupled simulated and experimental data
Background: The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite divers...
Jürgen Pahle, Anne K. Green, C. Jane Dixon, U...
ESANN
2000
13 years 6 months ago
Nonsynaptically connected neural nets
Neural nets are generally considered to be connected synaptically. However, the majority of information transfer in the brain may not be by synapses. Nonsynaptic diffusion neurotra...
Gaetano Liborio Aiello, Paul Bach-y-Rita
GROUP
2009
ACM
13 years 11 months ago
Information handover in time-critical work
Information transfer under time pressure and stress often leads to information loss. This paper studies the characteristics and problems of information handover from the emergency...
Aleksandra Sarcevic, Randall S. Burd