Publikationen von A Levina

Levina, A.: Intrinsic timescales in the cortex and how to find them. 11th CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023, Tübingen, Germany (2023)

Levina, A.; Vinogradov, O.; Sukenik, N.; Moses, E.: Balance and adaptation in neuronal systems. NEST Conference 2022 (2022)

Levina, A.: Sub-sampled but self organized. Bernstein Conference 2021 Satellite Workshop: Brain Criticality: The Past, the Present and the Future (2021)

Levina, A.: Optimization of computational capabilities by poising neuronal systems close to criticality. Workshop W13: Integrative Theories of Cortical Function, 28th Annual Computational Neuroscience Meeting (CNS*2019), Barcelona, Spain (2019)

Levina, A.: Influence of spatial structure on data processing and phase transitions in neuronal networks. Workshop W20: Phase Transitions in Brain Networks, 28th Annual Computational Neuroscience Meeting (CNS*2019), Barcelona, Spain (2019)

Levina, A.: Assessing brain states and their impact on cortical computations. INC Day 2018: Collective Brains, Paris, France (2018)

Levina, A.: Self-organization of neural information processing during development. Bernstein Conference 2018 Satellite Workshop: Adaptivity and Inhomogeneity in Neuronal Networks, Berlin, Germany (2018)

Levina, A.: Driving the critical system: One step beyond separation of time scales. Excellence Workshop "Dynamical Network States, Criticality and Cortical Function" , Delmenhorst, Germany (2017)

Giannakakis, E.; Levina, A.; Buendia, V.; Khajehabdollahi, S.: Synaptic-type-specific clustering optimizes the computational capabilities of balanced recurrent networks. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Vasilev, D.; Vinogradov, O.; Iwai, R.; Levina, A.; Totah, N.: Distinct anterior cingulate neurons drive changes-of-mind and monitor past performance. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (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)

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

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)

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)

Braun, J.; Levina, A.; Giugliano, M.: Robust Decision-Making: Non-Linear Responsiveness can Enhance Stimulus Information. FENS Forum 2022, Paris, France (2022)

Vasilev, D.; Vinogradov, O.; Levina, A.; Totah, N.: ACC Neurons Respond both during and after Response Conflict. Research in Encoding and Decoding of Neural Ensembles (AREADNE 2022), Santorini, Greece (2022)

Giannakakis, E.; Vinogradov, O.; Levina, A.: Clustered recurrent connectivity promotes the development of E/I co-tuning via synaptic plasticity. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Levina, A.; Fardet, T.: Weighted clustering motifs and small-worldness in connectomes. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Giannakakis, E.; Levina, A.: Recurrent connectivity controls the ability of inhibitory synaptic plasticity to produce E/I co-tuning. 30th Annual Computational Neuroscience Meeting (CNS*2021) (2021)