Suchergebnisse

Bucher, S.; Yan, Z.-Y.; Glimcher, P.; Dayan, P.: Neurally Revealed Preference and Beliefs over Resolving Uncertainty. Annual Meeting of the Society for NeuroEconomics (SNE 2023), Vancouver, BC, Canada (2022)

Éltetö, N.; Németh, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)

Granwald, T.; Dayan, P.; Lengyel, M.; Masip, M.: Quantifying a task-invariant Bayesian prior for active avoidance: A pilot study. Annual Meeting of the Society for NeuroEconomics (SNE 2023), Vancouver, BC, Canada (2022)

Kurtz-David, V.; Alladi, V.; Bucher, S.; Louie, K.; Brandenburger, A.; Dewan, A.; Glimcher, P.; Tymula, A.: Choosing Well: Testing the Efficiency of Neural Value Coding. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

Truong, V.; Binz, M.; Bartels, A.: Fear and anxiety influences on probabilistic learning: A pilot online study and computational modeling. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)

Corral López, R.; Buendía, V.; Ángel Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. Bernstein Conference 2022, Berlin, Germany (2022)

Endres, J.; Dang, H.; Glang, F.; Herz, K.; Loktyushin, A.; Weinmüller, S.; Zaiss, M.: Fast analytical simulation of pulseq MRI sequence definitions. 24. Jahrestagung der Deutschen Sektion der ISMRM (DS-ISMRM 2022), Aachen, Germany (2022)

Giannakakis, E.; Khajehabdollahi, S.; Buendia, V.; Levina, A.: The topology of E/I recurrent networks regulates their ability to learn the dynamics of chaotic attractors. Bernstein Conference 2022, Berlin, Germany (2022)

Kamm, L.; Fabian, M.; Herz, K.; Glang, F.; Dörfler, A.; Zaiss, M.: ComprehenCEST: a clinically feasible CEST protocol to cover all existing CEST preparation schemes by snapshot readout and reduction of overhangs. 24. Jahrestagung der Deutschen Sektion der ISMRM (DS-ISMRM 2022), Aachen, Germany (2022)

Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: Cellular automata for efficient large-scale simulations of spiking networks. Bernstein Conference 2022, Berlin, Germany (2022)

Safavi, S.; Dayan, P.: Toward a decision-theoretic model of perceptual multistability. Bernstein Conference 2022, Berlin, Germany (2022)

Schäfer, T.; Negahbani, F.; Ferrea, E.; Gharabaghi, A.; Levina, A.: Quantitative features of EEG and STN-LFP of Parkinson’s patients with motor symptoms. Bernstein Conference 2022, Berlin, Germany (2022)

Spitschan, M.; Garcia, S.; Balajadia, E.; Stampfli, J.; Schrader, B.: Usability and Acceptability of Corneal-Plane α-opic Dosimetry in a 24 h Field Trial. 33rd Annual Meeting of the Society for Light Treatment and Biological Rhythms (SLTBR 2022), Manchester, UK (2022)

Spitzner, F.; Yamamoto, H.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Fifth Third Infinity Conference 2022: Biennial International Conference on the Physics of Biological and Complex Systems , Göttingen, Germany (2022)

Truong, V.; Bartels, A.: Fear and anxiety influences on probabilistic learning: A pilot online study and computational modeling. Bernstein Conference 2022, Berlin, Germany (2022)

Vinogradov, O.; Ron, S.; Weinreb, E.; Buendia, V.; Moses, E.; Levina, A.: Dynamical regimes of network bursting in vitro. Bernstein Conference 2022, Berlin, Germany (2022)

Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Bernstein Conference 2022, Berlin, Germany (2022)

Zou, J.; Liang, J.; Zhaoping, L.: Saliency by barely visible uniqueness in eye of origin of visual inputs: its assessment by the V1 Saliency Hypothesis and its interaction with saliency by color and/or orientation. Bernstein Conference 2022, Berlin, Germany (2022)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Spatial complexity and intricacy predict subjective complexity. The Visual Science of Art Conference (VSAC 2022), Amsterdam, The Netherlands (2022)

Azizpour, S.; Zierenberg, J.; Priesemann, V.; Levina, A.: The Optimal State for Computation Changes Depending on the Available Processing time. FENS Forum 2022, Paris, France (2022)