Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Barna Zajzon"'
Publikováno v:
Frontiers in Integrative Neuroscience, Vol 17 (2023)
To acquire statistical regularities from the world, the brain must reliably process, and learn from, spatio-temporally structured information. Although an increasing number of computational models have attempted to explain how such sequence learning
Externí odkaz:
https://doaj.org/article/c129d71bb90c43f48329ea62a5e67cd7
Publikováno v:
eLife, Vol 12 (2023)
Information from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus features, providing a robust and efficient encoding strategy. Beyond sensory encoding, this prominent anatomical fea
Externí odkaz:
https://doaj.org/article/11a589f082dc4e8d8377dc04c0ca1eb3
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
Neurobiological systems rely on hierarchical and modular architectures to carry out intricate computations using minimal resources. A prerequisite for such systems to operate adequately is the capability to reliably and efficiently transfer informati
Externí odkaz:
https://doaj.org/article/bf8ac7b2c19c4f07b52889853ea082f3
Publikováno v:
Frontiers in integrative neuroscience 17, 935177 (2023). doi:10.3389/fnint.2023.935177
Frontiers in integrative neuroscience 17, 935177 (2023). doi:10.3389/fnint.2023.935177
To acquire statistical regularities from the world, the brain must reliably process, and learn from, spatio-temporally structured information. Although an inc
To acquire statistical regularities from the world, the brain must reliably process, and learn from, spatio-temporally structured information. Although an inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adf52ca2fbbf33e00fe65d4a7f1e79bd
https://doi.org/10.1101/2023.01.18.524604
https://doi.org/10.1101/2023.01.18.524604
Publikováno v:
Frontiers in Computational Neuroscience
Frontiers in computational neuroscience 13, 79 (2019). doi:10.3389/fncom.2019.00079
Frontiers in computational neuroscience 13, 79 (2019). doi:10.3389/fncom.2019.00079
Frontiers in computational neuroscience 13, 79 (2019). doi:10.3389/fncom.2019.00079
Published by Frontiers Research Foundation, Lausanne
Published by Frontiers Research Foundation, Lausanne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a457f976baf8ee3b072282ea32c3ef46
Autor:
Aitor Morales-Gregorio, Barna Zajzon
Publikováno v:
The journal of neuroscience 39(36), 7034-7036 (2019). doi:10.1523/JNEUROSCI.0656-19.2019
The thalamus was long considered a passive relay of sensory information with little or no active role in higher cognitive functions. However, mounting evidence suggests that thalamic nuclei form complex loops with the cortex and are involved in a myr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::999a52013117f86c84fafe2fbb443948
https://hdl.handle.net/2128/23030
https://hdl.handle.net/2128/23030
Publikováno v:
IJCNN
2018 International Joint Conference on Neural Networks (IJCNN), IJCNN, Rio de Janeiro, Brazil, 2018-07-08-2018-07-13
2018 International Joint Conference on Neural Networks (IJCNN), IJCNN, Rio de Janeiro, Brazil, 2018-07-08-2018-07-13
Hierarchical modularity is a parsimonious design principle in many complex systems and underlies various key structural and functional aspects of neurobiological systems, whose modules are recurrent networks of spiking neurons. An essential requireme
Autor:
Erika Ábrahám, Bernd Becker, Ralf Wimmer, Nils Jansen, Johann Schuster, Joost-Pieter Katoen, Barna Zajzon
Publikováno v:
Science of Computer Programming. 91:90-114
This paper presents several symbolic counterexample generation algorithms for discrete-time Markov chains (DTMCs) violating a PCTL formula. A counterexample is (a symbolic representation of) a sub-DTMC that is incrementally generated. The crux to thi
Autor:
Barna Zajzon, Nevcin Sentürk Cetin, Jens Peter Derks, Sonja Hänzelmann, Gaurav Ahuja, Chandrasekhar Kanduri, Ingrid Grummt, Vijay Suresh Akhade, Leo Kurian, Ivan G. Costa, Chao-Chung Kuo, Stefan Frank
Publikováno v:
Nucleic Acids Research
Nucleic acids research 47(6), e32 (2019). doi:10.1093/nar/gkz037
Nucleic acids research 47(6), e32 (2019). doi:10.1093/nar/gkz037
Nucleic acids research epub, gkz037 (2019). doi:10.1093/nar/gkz037
Published by Oxford Univ. Press, Oxford
Published by Oxford Univ. Press, Oxford