Publications of A Levina

Journal Article (24)

21.
Journal Article
Nagler, J.; Levina, A.; Timme, M.: Impact of single links in competitive percolation. Nature Physics 7 (3), pp. 265 - 270 (2011)
22.
Journal Article
Levina, A.; Herrmann, J.; Geisel, T.: Phase transitions towards criticality in a neural system with adaptive interactions. Physical Review Letters 102 (11), 118110 (2009)
23.
Journal Article
Levina, A.; Herrmann, M.; Geisel, T.: Dynamical synapses causing self-organized criticality in neural networks. Nature Physics 3 (12), pp. 857 - 860 (2007)
24.
Journal Article
Levina, A.; Ernst, U.; Herrmann, M.: Criticality of avalanche dynamics in adaptive recurrent networks. Neurocomputing 70 (10-12), pp. 1877 - 1881 (2007)

Book Chapter (1)

25.
Book Chapter
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)

Conference Paper (6)

26.
Conference Paper
Giannakakis, E.; Khajehabdollahi, S.; Levina, A.: Environmental variability and network structure determine the optimal plasticity mechanisms in embodied agents. In: ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, pp. 157 - 166 (Eds. Iizuka, H.; Suzuki, K.; Uno, R.; Damiano, L.; Spychala, N. et al.). ALIFE 2023: Ghost in the Machine: The 2021 Conference on Artificial Life, Sapporo, Japan, July 24, 2023 - July 28, 2023. MIT Press (2023)
27.
Conference Paper
Khajehabdollahi, S.; Giannakakis, E.; Buendia, V.; Martius, G.; Levina, A.: Locally adaptive cellular automata for goal-oriented self-organization. In: ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, pp. 410 - 419 (Eds. Iizuka, H.; Suzuki, K.; Uno, R.; Damiano, L.; Spychala, N. et al.). ALIFE 2023: Ghost in the Machine: The 2021 Conference on Artificial Life, Sapporo, Japan, July 24, 2023 - July 28, 2023. MIT Press (2023)
28.
Conference Paper
Khajehabdollahi, S.; Giannakakis, E.; Prosi, J.; Levina, A.: Reservoir computing with self-organizing neural oscillators. In: Artificial Life Conference Proceedings, Vol. 2021, 78. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)
29.
Conference Paper
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. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)
30.
Conference Paper
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)
31.
Conference Paper
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)

Meeting Abstract (16)

32.
Meeting Abstract
Zeraati, R.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Martius, G.; Levina, A.: Role of single-neuron and network-mediated timescales in recurrent neural networks solving long-memory tasks. In Bernstein Conference 2023, CT 4. Bernstein Conference 2023, Berlin, Germany, September 26, 2023 - September 29, 2023. (2023)
33.
Meeting Abstract
Levina, A.: Near-critical optimality: sensitivity and confidence trade offs. In Workshop on Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modeling (CNS*2023). Workshop on Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modeling (CNS*2023), Leipzig, Germany, July 18, 2023 - July 19, 2023. (2023)
34.
Meeting Abstract
Levina, A.: Timescales of neural computation. In Workshop on Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modeling (CNS*2023). Workshop on Multiscale Spatial and Temporal Neural Computation (CNS*2023), Leipzig, Germany, July 19, 2023. (2023)
35.
Meeting Abstract
Levina, A.: Investigation of the neural encoding of dynamic faces based on highly-realistic dynamic avatars. In CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023. CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023, Tübingen, Germany, March 10, 2023 - March 11, 2023. (2023)
36.
Meeting Abstract
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)
37.
Meeting Abstract
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)
38.
Meeting Abstract
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)
39.
Meeting Abstract
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)
40.
Meeting Abstract
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, p. 11. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany, November 04, 2019 - November 06, 2019. (2019)
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