Publikationen von O Vinogradov

Sukenik, N.; Vinogradov, O.; Weinreb, E.; Segal, M.; Levina, A.; Moses, E.: Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers. Proceedings of the National Academy of Sciences of the United States of America 118 (12), S. 1 - 9 (2021)

Vinogradov, O.; Sukenik, N.; Segal, M.; Moses, E.; Levina, A.: Neuronal cultures self-organize towards excitation/inhibition balance. In Bernstein Conference 2020, C 7. Bernstein Conference 2020 , 29. September 2020 - 01. Oktober 2020. (2020)

Iwai, R.; Vinogradov, O.; Logothetis, N.; Levina, A.; Totah, N.: ACC single unit and neuronal population correlates of response conflict versus and error detection in a novel rodent near mistake paradigm. In AREADNE 2020: Research in Encoding and Decoding of Neural Ensembles, S. 20 (Hg. Pezaris, J.; Hatsopoulos, N.). AREADNE 2020: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece, 16. Juni 2020 - 20. Juni 2020. The AREADNE Foundation, Cambridge, MA, USA (2020)

Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Effects of cellular excitatory-inhibitory composition on dynamics of cultured hippocampal neurons. In 20th Conference of Junior Neuroscientists (NeNa 2019), T9, S. 11. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany, 04. November 2019 - 06. November 2019. (2019)

Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Effects of cellular excitatory-inhibitory composition on neuronal dynamics. In DPG-Frühjahrstagung 2019, BP 15.4. DPG-Frühjahrstagung 2019, Regensburg, Germany, 31. März 2019 - 05. April 2019. (2019)

Zeraati, R.; Vinogradov, O.: Inferring models of neuronal dynamics from data with approximate Bayesian computation. Bernstein Conference 2021 Satellite Workshop: Machine Learning meets Neuroscience: from Spikes to Stimulation (2021)

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)

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)

Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Effects of cellular excitatory‑inhibitory composition on neuronal dynamics. 28th Annual Computational Neuroscience Meeting (CNS*2019), Barcelona, Spain (2019)

Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Bursting behavior in sparse random networks of excitatory and inhibitory neurons. Bernstein Conference 2018, Berlin, Germany (2018)

Vinogradov, O.: Bursting behavior in sparse random networks of excitatory and inhibitory neurons. Third Workshop on Advanced Methods in Theoretical Neuroscience (WANMTN 2018), Göttingen, Germany (2018)

Vinogradov, O.; Ecker, A.; Denfield, G.; Tolias, A.; Bethge, M.: Mixed latent variable model of attention in V1. Bernstein Conference 2017, Berlin, Germany (2017)