Publications of A Levina

Giannakakis, E.; Buendia, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Distinct excitatory and inhibitory connectivity structures control the dynamics and computational capabilities of recurrent networks. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal (2024)

Shi, Y.; Zeraati, R.; The International Brain Laboratory; Levina, A.; Engel, T.: Atlas of intrinsic timescales in the mouse brain. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA (2023)

Buendia, V.; Levina, A.: Inferring dynamical states in complex recurrent networks. Bernstein Conference 2023, Berlin, Germany (2023)

Giannakakis, E.; Buendía, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Inhomogeneous connectivity structures in E/I networks enable the processing of multiple chaotic time series. Bernstein Conference 2023, Berlin, Germany (2023)

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: Signatures of criticality in efficient coding networks. Bernstein Conference 2023, Berlin, Germany (2023)

Sagtekin, A.; Giannakakis, E.; Levina, A.: Emergent E/I anti-tuning and balance during surrogate gradient learning. Bernstein Conference 2023, Berlin, Germany (2023)

Schäfer, T.; Levina, A.: Accurately measuring Hurst (~1/f) exponents in neurophysiological-like data: Broad-band and envelope of oscillations. Bernstein Conference 2023, Berlin, Germany (2023)

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)

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)