Publications of A Levina

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), pp. 1 - 9 (2021)

Fardet, T.; Levina, A.: Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions. PLoS Computational Biology 16 (12), pp. 1 - 22 (2020)

Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Tailored ensembles of neural networks optimize sensitivity to stimulus statistics. Physical Review Research 2, 013115, pp. 1 - 9 (2020)

Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescence. Physical Review E 101 (2), 022301, pp. 1 - 13 (2020)

Shi, D.; Levina, A.; Noori, H.: Refined parcellation of the nervous system by algorithmic detection of hidden features within communities. Physical Review E 100 (1), 012301, pp. 1 - 14 (2019)

Das, A.; Levina, A.: Critical Neuronal Models with Relaxed Timescale Separation. Physical Review X 9, 021062, pp. 1 - 11 (2019)

Levina, A.; Priesemann, V.: Subsampling scaling. Nature Communications 8, 15140, pp. 1 - 9 (2017)

Effenberger, F.; Jost, J.; Levina, A.: Self-organization in balanced state networks by STDP and homeostatic plasticity. PLoS Computational Biology 11 (9), pp. 1 - 30 (2015)

Levina, A.; Herrmann, J.: The Abelian distribution. Stochastics and Dynamics 14 (3), 1450001, pp. 1 - 5 (2013)

Nagler, J.; Levina, A.; Timme, M.: Impact of single links in competitive percolation. Nature Physics 7 (3), pp. 265 - 270 (2011)

Levina, A.; Herrmann, M.; Geisel, T.: Dynamical synapses causing self-organized criticality in neural networks. Nature Physics 3 (12), pp. 857 - 860 (2007)

Levina, A.; Herrmann, J.; Geisel, T.: Theoretical neuroscience of self‐organized criticality: from formal approaches to realistic models. In: Criticality in Neural Systems, 20, pp. 417 - 436 (Eds. Plenz, D.; Niebur, E.; Schuster, H.). Wiley-VCH, Weinheim, Germany (2014)

Khajehabdollahi, S.; Giannakakis, E.; Prosi, J.; Levina, A.: Reservoir computing with self-organizing neural oscillators. In: Artificial Life Conference Proceedings, Vol. 2021, 78, pp. 1 - 3. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)

Prosi, J.; Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: The dynamical regime and its importance for evolvability, task performance and generalization. In: Artificial Life Conference Proceedings, Vol. 2021, 79, pp. 1 - 9. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)

Khajehabdollahi, S.; Martius, G.; Levina, A.: Assessing Aesthetics of Generated Abstract Images Using Correlation Structure. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 306 - 313. IEEE Symposium Series on Computational Intelligence (SSCI 2019), Xiamen, China, December 06, 2019 - December 09, 2019. IEEE, Piscataway, NJ, USA (2019)

Levina, A.; Herrmann, M.; Geisel, T.: Dynamical synapses give rise to a power-law distribution of neuronal avalanches. In: Advances in Neural Information Processing Systems 18, Vol. 18, pp. 771 - 778 (Eds. Saul, L.; Schölkopf, B.; Platt, J.). Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), Vancouver, BC, Canada, December 05, 2005 - December 08, 2005. MIT Press, Cambridge, MA, USA (2006)

Levina, A.: Timescales of ongoing cortical activity and their relationship to the local connectivity and attentional state [Echelles temporelles de l'activité corticale spontanée et leur rélation avec la connectivité locale et l'état attentionnel]. In NeuroFrance 2021, S26.4. NeuroFrance 2021, Strasbourg, France, May 19, 2021 - May 21, 2021. (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 , September 29, 2020 - October 01, 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, p. 20 (Eds. Pezaris, J.; Hatsopoulos, N.). AREADNE 2020: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece, June 16, 2020 - June 20, 2020. The AREADNE Foundation, Cambridge, MA, USA (2020)

Sukenik, N.; Vinogradov, O.; Levina, A.; Segal, M.; Moses, E.: Impact of excitatory/inhibitory compositions on network dynamics and balance in neuronal cultures. In 28th Annual Meeting of the Israel Society for Neuroscience (ISFN 2020), pp. 175 - 176. 28th Annual Meeting of the Israel Society for Neuroscience (ISFN 2020), Eilat, Israel, January 05, 2020 - January 07, 2020. (2020)