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Measuring information integration.
Tononi G, Sporns O.
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Integrated information in discrete dynamical systems: motivation and theoretical framework.
Balduzzi D, Tononi G.
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An information integration theory of consciousness.
Tononi G.
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Synapse models for neural networks: from ion channel kinetics to multiplicative coefficient wij.
Chapeau-Blondeau F, Chambet N.
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Lu H, He Z.
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Investigation of possible neural architectures underlying information-geometric measures.
Tatsuno M, Okada M.
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A comparison of descriptive models of a single spike train by information-geometric measure.
Nakahara H, Amari S, Richmond BJ.
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A complexity measure for selective matching of signals by the brain.
Tononi G, Sporns O, Edelman GM.
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Precision constrained stochastic resonance in a feedforward neural network.
Mtetwa N, Smith LS.
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Computational inference of neural information flow networks.
Smith VA, Yu J, Smulders TV, Hartemink AJ, Jarvis ED.
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On the role of receptor-receptor interactions and volume transmission in learning and memory.
Guidolin D, Fuxe K, Neri G, Nussdorfer GG, Agnati LF.
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Pulse propagation in discrete excitatory networks of integrate-and-fire neurons.
Badel L, Tonnelier A.
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Spontaneous dynamics of asymmetric random recurrent spiking neural networks.
Soula H, Beslon G, Mazet O.
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Limits of capacity for the exchange of information in the human nervous system.
Echeverri E.
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Temporal coding in a silicon network of integrate-and-fire neurons.
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The shape of neural dependence.
Jenison RL, Reale RA.
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Stochastic dynamics of a finite-size spiking neural network.
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Image segmentation by networks of spiking neurons.
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