Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Alireza Modirshanechi"'
Autor:
Anastasiia Oryshchuk, Christos Sourmpis, Julie Weverbergh, Reza Asri, Vahid Esmaeili, Alireza Modirshanechi, Wulfram Gerstner, Carl C.H. Petersen, Sylvain Crochet
Publikováno v:
Cell Reports, Vol 43, Iss 1, Pp 113618- (2024)
Summary: Goal-directed behaviors involve coordinated activity in many cortical areas, but whether the encoding of task variables is distributed across areas or is more specifically represented in distinct areas remains unclear. Here, we compared repr
Externí odkaz:
https://doaj.org/article/87afd8b3c3474b62aecfe75644ae4bb0
Autor:
Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff
Publikováno v:
NeuroImage, Vol 246, Iss , Pp 118780- (2022)
Learning how to reach a reward over long series of actions is a remarkable capability of humans, and potentially guided by multiple parallel learning modules. Current brain imaging of learning modules is limited by (i) simple experimental paradigms,
Externí odkaz:
https://doaj.org/article/806e3db8fbaa4ef488e0884a43b1b874
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009070 (2021)
Classic reinforcement learning (RL) theories cannot explain human behavior in the absence of external reward or when the environment changes. Here, we employ a deep sequential decision-making paradigm with sparse reward and abrupt environmental chang
Externí odkaz:
https://doaj.org/article/c394c02f72114f7f930a45a422d833f0
Humans and other species can remember how long ago specific events happened. Based on a systematic exploration of neural coding and association schemes, we develop different hypotheses about how neural networks with Hebbian plasticity could enable an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04037672d705511d85df209b6a98c822
https://doi.org/10.1101/2022.11.28.518209
https://doi.org/10.1101/2022.11.28.518209
Human curiosity has been interpreted as a drive for exploration and modeled by intrinsically motivated reinforcement learning algorithms. An unresolved challenge in machine learning is that these algorithms are prone to distraction by reward-independ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f32b2b5f88bce4e798ae2b441a1bb39
https://doi.org/10.1101/2022.07.05.498835
https://doi.org/10.1101/2022.07.05.498835
Surprising events trigger measurable brain activity and influence human behavior by affecting learning, memory, and decision-making. Currently there is, however, no consensus on the definition of surprise. Here we identify 16 mathematical definitions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8645eaf52e80403fd23422ccdd98488
https://doi.org/10.1101/2021.11.01.466796
https://doi.org/10.1101/2021.11.01.466796
Publikováno v:
NeuroImage. 196:302-317
Having to survive in a continuously changing environment has driven the human brain to actively predict the future state of its surroundings. Oddball tasks are specific types of experiments in which this nature of the human brain is studied. Detailed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::649e4e1738236157ccdf5789300399dd
https://doi.org/10.1016/j.neuroimage.2019.04.028
https://doi.org/10.1016/j.neuroimage.2019.04.028
Autor:
Carl C.H. Petersen, Sylvain Crochet, Vahid Esmaeili, Marta Boscaglia, Samuel P. Muscinelli, Alireza Modirshanechi, Georgios Foustoukos, Keita Tamura, Wulfram Gerstner, Yanqi Liu, Ashley B. Lee, Anastasiia Oryshchuk
Publikováno v:
bioRxiv
Neuron
Neuron
Summary The neuronal mechanisms generating a delayed motor response initiated by a sensory cue remain elusive. Here, we tracked the precise sequence of cortical activity in mice transforming a brief whisker stimulus into delayed licking using wide-fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06f8d1faefc2a74bd7d384939f46bb81
Surprise-based learning allows agents to rapidly adapt to nonstationary stochastic environments characterized by sudden changes. We show that exact Bayesian inference in a hierarchical model gives rise to a surprise-modulated trade-off between forget
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b51757b649d09f3b4577b02c7c230093
http://arxiv.org/abs/1907.02936
http://arxiv.org/abs/1907.02936
Publikováno v:
DATA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c7d3d3ac170a6d49172cdc7508440fd
https://doi.org/10.5220/0006484303630370
https://doi.org/10.5220/0006484303630370