Publications of A Levina

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)

Zeraati, R.; Shi, Y.-L.; Steinmetz, N.; Gieselmann, M.; Thiele, A.; Moore, T.; Levina, A.; Engel, T.: Attentional modulation of intrinsic timescales in visual cortex and its underlying network mechanisms. Bernstein Conference 2021 (2021)

Fardet, T.; Levina, A.; Paulun, N.: Revisiting and revising clustering in brain networks. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)

Zeraati, R.; Shi, Y.; Steinmetz, N.; Moore, T.; Engel, T.; Levina, A.: Attentional modulation of neural activity timescales and their relation to spatial network structure. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)

Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Tailored ensembles of neural networks optimize sensitivity to stimulus statistics. DPG-Frühjahrstagungen 2021 BP-CPP-DY-SOE (2021)

Fardet, T.; Levina, A.: Better weighted clustering coefficient: now continuous. Ninth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020) , Madrid, Spain (2020)