Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Priesemann, Viola"'
Tasks that require information about the world imply a trade-off between the time spent on observation and the variance of the response. In particular, fast decisions need to rely on uncertain information. However, standard estimates of information p
Externí odkaz:
http://arxiv.org/abs/2307.07794
Autor:
Rudelt, Lucas, Marx, Daniel González, Spitzner, F. Paul, Cramer, Benjamin, Zierenberg, Johannes, Priesemann, Viola
A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing through intrinsic mechanisms (e.g., recurrent coupling or adaptation), but recent evidenc
Externí odkaz:
http://arxiv.org/abs/2305.13427
Publikováno v:
Nat. Rev. Phys. (2022)
Complex systems are fascinating because their rich macroscopic properties emerge from the interaction of many simple parts. Understanding the building principles of these emergent phenomena in nature requires assessing natural complex systems experim
Externí odkaz:
http://arxiv.org/abs/2209.05548
Autor:
Cramer, Benjamin, Kreft, Markus, Billaudelle, Sebastian, Karasenko, Vitali, Leibfried, Aron, Müller, Eric, Spilger, Philipp, Weis, Johannes, Schemmel, Johannes, Muñoz, Miguel A., Priesemann, Viola, Zierenberg, Johannes
A unique feature of neuromorphic computing is that memory is an implicit part of processing through traces of past information in the system's collective dynamics. The extent of memory about past inputs is commonly quantified by the autocorrelation t
Externí odkaz:
http://arxiv.org/abs/2208.08329
Autor:
Yamamoto, Hideaki, Spitzner, F. Paul, Takemuro, Taiki, Buendía, Victor, Morante, Carla, Konno, Tomohiro, Sato, Shigeo, Hirano-Iwata, Ayumi, Priesemann, Viola, Muñoz, Miguel A., Zierenberg, Johannes, Soriano, Jordi
Publikováno v:
Sci. Adv. 9, eade1755 (2023)
Brain functions require both segregated processing of information in specialized circuits, as well as integration across circuits to perform high-level information processing. One possible way to implement these seemingly opposing demands is by flexi
Externí odkaz:
http://arxiv.org/abs/2205.10563
Autor:
Hagemann, Annika, Kehl, Marcel Stephan, Dehning, Jonas, Spitzner, F. Paul, Niediek, Johannes, Wibral, Michael, Mormann, Florian, Priesemann, Viola
Information processing in the brain requires integration of information over time. Such an integration can be achieved if signals are maintained in the network activity for the required period, as quantified by the intrinsic timescale. While short ti
Externí odkaz:
http://arxiv.org/abs/2205.10308
Top-down feedback in cortex is critical for guiding sensory processing, which has prominently been formalized in the theory of hierarchical predictive coding (hPC). However, experimental evidence for error units, which are central to the theory, is i
Externí odkaz:
http://arxiv.org/abs/2205.05303
Autor:
Wollstadt, Patricia, Rathbun, Daniel L., and, W. Martin Usrey, Bastos, André Moraes, Lindner, Michael, Priesemann, Viola, Wibral, Michael
Studies investigating neural information processing often implicitly ask both, which processing strategy out of several alternatives is used and how this strategy is implemented in neural dynamics. A prime example are studies on predictive coding. Th
Externí odkaz:
http://arxiv.org/abs/2203.10810
Local dendritic balance enables learning of efficient representations in networks of spiking neurons
How can neural networks learn to efficiently represent complex and high-dimensional inputs via local plasticity mechanisms? Classical models of representation learning assume that input weights are learned via pairwise Hebbian-like plasticity. Here,
Externí odkaz:
http://arxiv.org/abs/2010.12395
Self-organized criticality has been proposed to be a universal mechanism for the emergence of scale-free dynamics in many complex systems, and possibly in the brain. While such scale-free patterns were identified experimentally in many different type
Externí odkaz:
http://arxiv.org/abs/2010.07888