Publikationen von A Levina

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)

Shi, Y.; Zeraati, R.; Lin, Y.; Levina, A.; Engel, T.: Universal scaling of intrinsic timescales across the whole mouse brain. Computational and Systems Neuroscience Meeting (COSYNE 2025), Montreal, Canada (2025)

Giannakakis, E.; Bird, A.; Jedlicka, P.; Cuntz, H.; Levina, A.: Dendritic nonlinearities and synapse type-specific input clustering enable the development of input selectivity in a wide range of settings. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Schäfer, T.; Gharabaghi, A.; Levina, A.: Signatures of fractal temporal dependencies are correlated between MEG and fMRI. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Schäfer, T.; Giannakakis, E.; Schmidt-Barbo, P.; Levina, A.; Vinogradov, O.: Unsupervised clustering of burst shapes reveals the increasing complexity of developing networks in vitro. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Vinogradov, O.; Giannakakis, E.; Uysal, B.; Ron, S.; Weinreb, E.; Lerche, H.; Moses, E.; Levina, A.: Effective excitability: a determinant of the network bursting dynamics revealed by parameter invariance. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Zeraati, R.; Shi, Y.; The International Brain Laboratory; Levina, A.; Engel, T.: A census of neural timescales across the mouse brain. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: Signatures of criticality in efficient coding networks. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2024)

Giannakakis, E.; Buendia, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Overlapping E/I neuronal assemblies generate rich network dynamics and enable complex computations. Research in Encoding and Decoding of Neural Ensembles (AREADNE 2024), Milos, Greece (2024)

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)