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- The University of TokyoJP10 papers
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7 papers · 1 filter
Statistical Mechanics of On-line Learning when a Moving Teacher Goes around an Unlearnable True Teacher
Masahiro Urakami, Seiji Miyoshi, Masato Okada
In the framework of on-line learning, a learning machine might move around a teacher due to the differences in structures or output functions between the teacher and the learning m…
Stochastic transitions of attractors in associative memory models with correlated noise
Masaki Kawamura, Masato Okada
We investigate dynamics of recurrent neural networks with correlated noise to analyze the noise's effect. The mechanism of correlated firing has been analyzed in various models, bu…
Theory of Interaction of Memory Patterns in Layered Associative Networks
Kazuya Ishibashi, Kosuke Hamaguchi, Masato Okada
A synfire chain is a network that can generate repeated spike patterns with millisecond precision. Although synfire chains with only one activity propagation mode have been intensi…
Statistical Mechanics of Time Domain Ensemble Learning
Seiji Miyoshi, Tatsuya Uezu, Masato Okada
Conventional ensemble learning combines students in the space domain. On the other hand, in this paper we combine students in the time domain and call it time domain ensemble learn…
Criticality on networks with topology-dependent interactions
C. V. Giuraniuc, J. P. L. Hatchett, J. O. Indekeu +4
Weighted scale-free networks with topology-dependent interactions are studied. It is shown that the possible universality classes of critical behaviour, which are known to depend o…
Heterogeneity in connectivity of habitat networks saves stable coexistence of competing species
Naoki Masuda, Norio Konno
Coexistence of individuals with different species or phenotypes is often found in nature in spite of competition between them. Stable coexistence of multiple types of individuals h…