Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers N Sukenik, O Vinogradov, E Weinreb, M Segal, A Levina, E Moses Proceedings of the National Academy of Sciences 118 (12), e2018459118, 2021 | 87 | 2021 |
Recurrent connectivity structure controls the emergence of co-tuned excitation and inhibition E Giannakakis, O Vinogradov, V Buendía, A Levina bioRxiv, 2023.02. 27.530253, 2023 | 5 | 2023 |
Effective excitability captures network dynamics across development and phenotypes O Vinogradov, E Giannakakis, V Buendia, B Uysal, S Ron, E Weinreb, ... bioRxiv, 2024.08. 21.608974, 2024 | 2 | 2024 |
Modeling population dynamics of neural circuits: from in vitro neural systems to structured cortical networks O Vinogradov Universität Tübingen, 2026 | | 2026 |
Unsupervised clustering of burst shapes reveals the increasing complexity of developing networks in vitro TJ Schäfer, E Giannakakis, P Schmidt-Barbo, A Levina, O Vinogradov Bernstein Conference 2024, 2024 | | 2024 |
Effective excitability: a determinant of the network bursting dynamics revealed by parameter invariance O Vinogradov, E Giannakakis, B Uysal, S Ron, E Weinreb, H Lerche, ... Bernstein Conference 2024, 2024 | | 2024 |
Local excitation and lateral inhibition enable the simultaneous processing of multiple signals in recurrent neural networks E Giannakakis, O Vinogradov, V Buendía, S Khajehabdollahi, A Levina Kluwer Academic Publishers, 2024 | | 2024 |
Overlapping E/I neuronal assemblies generate rich network dynamics and enable complex computations E Giannakakis, V Buendia, O Vinogradov, S Khajehabdollahi, A Levina Research in Encoding and Decoding of Neural Ensembles (AREADNE 2024), 73, 2024 | | 2024 |
Distinct excitatory and inhibitory connectivity structures control the dynamics and computational capabilities of recurrent networks E Giannakakis, V Buendia, O Vinogradov, S Khajehabdollahi, A Levina Computational and Systems Neuroscience Meeting (COSYNE 2024), 58-59, 2024 | | 2024 |
Inhomogeneous connectivity structures in E/I networks enable the processing of multiple chaotic time series E Giannakakis, V Buendía, O Vinogradov, S Khajehabdollahi, A Levina Bernstein Conference 2023, 2023 | | 2023 |
Network excitability determines collective bursting dynamics of neuronal networks in vitro O Vinogradov, E Giannakakis, V Buendia, B Uysal, E Weinreb, S Ron, ... Bernstein Conference 2023, 2023 | | 2023 |
Distinct anterior cingulate neurons drive changes-of-mind and monitor past performance D Vasilev, O Vinogradov, R Iwai, A Levina, NK Totah 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), 2022 | | 2022 |
Dynamical regimes of network bursting in vitro O Vinogradov, S Ron, E Weinreb, V Buendia, E Moses, A Levina Bernstein Conference 2022, 2022 | | 2022 |
Dynamical principles of network bursting in vitro O Vinogradov Bernstein 2022 Satellite Workshop: Advances in Network Dynamics of In Vitro …, 2022 | | 2022 |
ACC Neurons Respond both during and after Response Conflict D Vasilev, O Vinogradov, A Levina, NK Totah Research in Encoding and Decoding of Neural Ensembles (AREADNE 2022), 115, 2022 | | 2022 |
Balance and adaptation in neuronal systems A Levina, O Vinogradov, N Sukenik, E Moses NEST Conference 2022, 13, 2022 | | 2022 |
Clustered recurrent connectivity promotes the development of E/I co-tuning via synaptic plasticity E Giannakakis, O Vinogradov, A Levina Computational and Systems Neuroscience Meeting (COSYNE 2022), 133-134, 2022 | | 2022 |
Recurrent connectivity regulates the ability of inhibitory STDP to produce E/I co-tuning in a spiking network E Giannakakis, O Vinogradov, A Levina Bernstein Conference 2021, 2021 | | 2021 |
Minimal model of cultured neuronal networks population dynamics O Vinogradov, V Buendia, A Levina Bernstein Conference 2021, 2021 | | 2021 |
Examining network dynamics under inhibitory rewiring N Patzlaff, O Vinogradov, E Giannakakis, A Levina Bernstein Conference 2021, 2021 | | 2021 |