Publikationen von A Levina

Spieler, A.; Rahaman, N.; Martius, G.; Schölkopf, B.; Levina, A.: The Expressive Leaky Memory (ELM) neuron: a biologically inspired, computationally expressive, and efficient model of a cortical neuron. Bernstein Conference 2023, Berlin, Germany (2023)

Vinogradov, O.; Giannakakis, E.; Buendia, V.; Uysal, B.; Weinreb, E.; Ron, S.; Lerche, H.; Moses, E.; Levina, A.: Network excitability determines collective bursting dynamics of neuronal networks in vitro. Bernstein Conference 2023, Berlin, Germany (2023)

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: A decision-theoretic approach to binocular rivalry. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2023)

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)

Buendia, V.; Zeraati, R.; Engel, T.; Levina, A.: Variable critical exponents induced by topology-dependent coalescence in a branching network. Bernstein Conference 2021 (2021)

Giannakakis, E.; Vinogradov, O.; Levina, A.: Recurrent connectivity regulates the ability of inhibitory STDP to produce E/I co-tuning in a spiking network. Bernstein Conference 2021 (2021)

Patzlaff, N.; Vinogradov, O.; Giannakakis, E.; Levina, A.: Examining network dynamics under inhibitory rewiring. Bernstein Conference 2021 (2021)

Vinogradov, O.; Buendia, V.; Levina, A.: Minimal model of cultured neuronal networks population dynamics. Bernstein Conference 2021 (2021)

Yang, I.; Zeraati, R.; Zhang, Y.; Arrenberg, A.; Levina, A.: Evaluating the dynamical state of the visual brain during optic flow noise processing in zebrafish. Bernstein Conference 2021 (2021)