Publikationen von A Levina

Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: The role of inhibition in bursting dynamics of hippocampal cultures. 28th Annual Meeting of the Israel Society for Neuroscience (ISFN 2019) , Eilat, Israel (2019)

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: From optimal efficient coding to criticality. Conference on Complex Systems (CCS 2018) Satellite: Complexity from Cells to Consciousness: Free Energy, Integrated Information, and Epsilon Machines, Thessaloniki, Greece (2018)

Hasanpour, M.; Massobrio, P.; Levina, A.: Changes of inferred functional connectivity under subsampling. Bernstein Conference 2018, Berlin, Germany (2018)

Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Bursting behavior in sparse random networks of excitatory and inhibitory neurons. Bernstein Conference 2018, Berlin, Germany (2018)

Zeraati, R.; Engel, T.; Levina, A.: Critical avalanches in a spatially structured model of cortical On-Off dynamics. Bernstein Conference 2018, Berlin, Germany (2018)

Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Ensembles of networks drastically increase dynamic range. Bernstein Conference 2018, Berlin, Germany (2018)

Levina, A.; Priesemann, V.: How to infer distributions in the brain from subsampled observations. Bernstein Conference 2017, Göttingen, Germany (2017)

Levina, A.; Priesemann, V.: How to infer distributions in the brain from subsampled observations. 25th Annual Computational Neuroscience Meeting (CNS*2016), Seogwipo City, South Korea (2016)

Levina, A.; Herrmann, J.; Geisel, T.: Neural dynamics and network topology interact to form critical avalanches. Twentieth Annual Computational Neuroscience Meeting (CNS*2011), Stockholm, Sweden (2011)

Schrobsdorff, F.; Ihrke, M.; Behrendt, J.; Herrmann, J.; Geisel, T.; Levina, A.: Are age-related cognitive effects caused by optimization? Eighteenth Annual Computational Neuroscience Meeting (CNS*2009), Berlin, Germany (2009)

Levina, A.; Ernst, U.; Herrmann, M.: Criticality of Avalanche Dynamics in Adaptive Recurrent Networks. Fifteenth Annual Computational Neuroscience Meeting (CNS*2006), Edinburgh, UK (2006)

Schäfer, T.; Giannakakis, E.; Schmidt-Barbo, P.; Levina, A.; Vinogradov, O.: Data-driven burst shape analysis for functional phenotyping of neuronal cultures. (eingereicht)

Shi, Y.-L.; Zeraati, R.; International Brain Laboratory; Levina, A.; Engel, T.: Brain-wide organization of intrinsic timescales at single-neuron resolution. (eingereicht)

Zeraati, R.; Levina, A.; Macke, J.; Gao, R.: Neural timescales from a computational perspective. (eingereicht)

Vinogradov, O.; Giannakakis, E.; Buendía, V.; Uysal, B.; Ron, S.; Weinreb, E.; Schwarz, N.; Lerche, H.; Moses, E.; Levina, A.: Effective excitability captures network dynamics across development and phenotypes. (eingereicht)

Fardet, T.; Giannakakis, E.; Paulun, K.; Levina, A.: Revising clustering and small-worldness in brain networks. (eingereicht)

Khajehabdollahi, S.; Zeraati, R.; Giannakakis, E.; Schäfer, T.; Martius, G.; Levina, A.: Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. (eingereicht)

Giannakakis, E.; Vinogradov, O.; Buendia, V.; Levina, A.: The topology of E/I recurrent networks regulates the effects of synaptic plasticity. (eingereicht)

Giannakakis, E.; Vinogradov, O.; Buendía, V.; Levina, A.: Recurrent connectivity structure controls the emergence of co-tuned excitation and inhibition. (eingereicht)

Das, A.; Denker, M.; Levina, A.; Tabacu, L.: Estimations by stable motions and applications. (eingereicht)