Search results

Journal Article (6)

1.
Journal Article
Balduzzi, D.; Ortega, P.; Besserve, M.: Metabolic cost as an organizing principle for cooperative learning. Advances in Complex Systems 16 (02n03), 1350012, pp. 1 - 18 (2013)
2.
Journal Article
Balduzzi, D.; Tononi, G.: Qualia: The Geometry of Integrated Information. PLoS Computational Biology 5 (8), pp. 1 - 24 (2009)
3.
Journal Article
Balduzzi, D.; Riedner, B.; Tononi, G.: A BOLD window into brain waves. Proceedings of the National Academy of Sciences of the United States of America 105 (41), pp. 15641 - 15642 (2008)
4.
Journal Article
Balduzzi, D.; Tononi, G.: Integrated Information in Discrete Dynamical Systems: Motivation and Theoretical Framework. PLoS Computational Biology 4 (6), pp. 1 - 18 (2008)
5.
Journal Article
Balduzzi, D.: Poisson Geometry of Parabolic Bundles on Elliptic Curves. International journal of mathematics 19 (3), pp. 339 - 367 (2008)
6.
Journal Article
Balduzzi, D.: Donagi-Markman cubic for Hitchin systems. Mathematical Research Letters 13 (6), pp. 923 - 933 (2006)

Book Chapter (1)

7.
Book Chapter
Tononi, G.; Balduzzi, D.: Toward a Theory of Consciousness. In: The Cognitive Neurosciences, 4. ed. Ed., pp. 1201 - 1220 (Ed. Gazzaniga, M.). MIT Press, Cambridge, MA, USA (2009)

Conference Paper (8)

8.
Conference Paper
Balduzzi, D.; Besserve, M.: Towards a learning-theoretic analysis of spike-timing dependent plasticity. In: Advances in Neural Information Processing Systems 25, pp. 2465 - 2473 (Eds. Bartlett, P.; Pereira, F.; Bottou, L.; Burges, C.; Weinberger, K.). Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, Nevada, USA, December 03, 2012 - December 06, 2012. Curran, Red Hook, NY, USA (2013)
9.
Conference Paper
Ortega, P.; Grau-Moya, J.; Genewein, T.; Balduzzi, D.; Braun, D.: A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. In: Advances in Neural Information Processing Systems 25, pp. 3014 - 3022 (Ed. Bartlett, P.). Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, NV, USA, December 03, 2012 - December 06, 2012. Curran, Red Hook, NY, USA (2013)
10.
Conference Paper
Balduzzi, D.: Falsification and future performance. In: Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, pp. 65 - 78 (Ed. Dowe, D.). Solomonoff 85th Memorial Conference, Melbourne, Australia, 2011-12. Springer, Berlin, Germany (2013)
11.
Conference Paper
Balduzzi, D.: Information, learning and falsification. In: NIPS 2011 Philosophy and Machine Learning Workshop, pp. 1 - 4. NIPS 2011 Philosophy and Machine Learning Workshop, Sierra Nevada, Spain. (2011)
12.
Conference Paper
Balduzzi, D.: Estimating integrated information with TMS pulses during wakefulness, sleep and under anesthesia. In: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2011), pp. 4717 - 4720. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2011), Boston, MA, USA. IEEE, Piscataway, NJ, USA (2011)
13.
Conference Paper
Balduzzi, D.: Detecting emergent processes in cellular automata with excess information. In: Advances in Artificial Life: ECAL 2011, pp. 55 - 62 (Eds. Lenaerts, T.; Giacobini, M.; Bersini, H.; Bourgine, P.; Dorigo, M. et al.). Eleventh European Conference on the Synthesis and Simulation of Living Systems, Paris, France, August 08, 2011 - August 12, 2011. MIT Press, Cambridge, MA, USA (2011)
14.
Conference Paper
Balduzzi, D.: On the information-theoretic structure of distributed measurements. In: 7th International Workshop on Developments of Computational Models (DCM 2011), pp. 1 - 15. 7th International Workshop on Developments of Computational Models (DCM 2011), Zürich, Switzerland. Elsevier Science, Amsterdam, Netherlands (2011)
15.
Conference Paper
Gomez Rodriguez, M.; Balduzzi, D.; Schölkopf, B.: Uncovering the Temporal Dynamics of Diffusion Networks. In: 28th International Conference on Machine Learning (ICML 2011), pp. 561 - 568 (Eds. Getoor, L.; Scheffer, T.). 28th International Conference on Machine Learning (ICML 2011), Bellevue, WA, USA. International Machine Learning Society, Madison, WI, USA (2011)
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