Publikationen von V Buendia

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)

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)

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)

Corral López, R.; Buendía, V.; Ángel Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. Bernstein Conference 2022, Berlin, Germany (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)

Spitzner, F.; Yamamoto, H.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Fifth Third Infinity Conference 2022: Biennial International Conference on the Physics of Biological and Complex Systems , Göttingen, 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)

Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Bernstein Conference 2022, Berlin, Germany (2022)

Buendia, V.; Villegas, P.; Burioni, R.; Munoz, M.: Frustrated synchronization and excitability in hierarchical-modular brain networks. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

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

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

Vinogradov, O.; Giannakakis, E.; Buendía, V.; Uysal, B.; Ron, S.; Weinreb, E.; Schwarz, N.; Lerche, H.; Moses, E.; Levina, A.: Effective excitability captures network dynamics across development and phenotypes. (eingereicht)

Giannakakis, E.; Vinogradov, O.; Buendia, V.; Levina, A.: The topology of E/I recurrent networks regulates the effects of synaptic plasticity. (eingereicht)

Giannakakis, E.; Vinogradov, O.; Buendía, V.; Levina, A.: Recurrent connectivity structure controls the emergence of co-tuned excitation and inhibition. (eingereicht)