Publications of S Safavi

Besserve, M.; Safavi, S.: Practical on Machine Learning for Neuroscience. Machine Learning Summer School (MLSS 2016), Cádiz, Spain (2016)

Schwabe, M.; Behrad, A.; Zeraati, R.; Safavi, S.: Revealing task-relevant dynamics via decomposition of intrinsic and input-driven dynamics. Computational and Systems Neuroscience Meeting (COSYNE 2026), Lisbon, Portugal (2026)

Fakharian, M.; Behrad, A.; Beste, C.; Safavi, S.: Fast dynamical similarity analysis. Bernstein Conference 2025, Frankfurt/Main, Germany (2025)

Pillai, H.; Banchalia, P.; Yoshida, N.; Safavi, S.: Brain-like features in homeostatic deep reinforcement learning agents. Bernstein Conference 2025, Frankfurt/Main, Germany (2025)

Schäfer, T.; Giannakakis, E.; Schmidt-Barbo, B.; Vinogradov, O.; Safavi, S.: Don't omit burst shapes! Transient network events contain information about genetic background and experimental conditions complementary to traditional burst features. Bernstein Conference 2025, Frankfurt/Main, Germany (2025)

Zhang, J.; Behrad, A.; Safavi, S.: An unsupervised method for sharp-wave ripples detection using spectral decomposition and topological peak analysis. Bernstein Conference 2025, Frankfurt/Main, Germany (2025)

Behrad, A.; Fakharian, M.; Beste, C.; Safavi, S.: Unsupervised Identification of Behaviorally-relevant States in Biological and Artificial Neural Systems. 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)

Zeraati, R.; Jodar, T.; Safavi, S.; Cruz, B.; Poo, C.; Dayan, P.: Optimal Foraging by Learning the World Model. 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)

Ghalambor, A.; Fakharian, M.; Zeraati, R.; Safavi, S.: Identifying task-specific dynamics in recurrent neural networks using Dynamical Similarity Analysis. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: Signatures of criticality in efficient coding networks. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2024)

Safavi, S.; Dayan, P.: A decision-theoretic approach to binocular rivalry. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2024)

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: Signatures of criticality in efficient coding networks. Bernstein Conference 2023, Berlin, Germany (2023)

Safavi, S.; Dayan, P.: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions. Bernstein Conference 2023, Berlin, Germany (2023)

Safavi, S.: A decision-theoretic approach to binocular rivalry. Systems Vision Science: Summer School & Symposium, Tübingen, Germany (2023)

Safavi, S.; Dayan, P.: A decision-theoretic model of multistability: perceptual switches as internal actions. Computational Psychiatry Conference 2023, Dublin, Ireland (2023)

Safavi, S.; Dayan, P.: Toward a decision-theoretic model of perceptual multistability. Bernstein Conference 2022, Berlin, Germany (2022)

Safavi, S.; Panagiotaropoulos, T.; Kapoor, V.; Ramirez-Villegas, J.; Logothetis, N.; Besserve, M.: Generalized phase locking analysis: a multivariate technique for investigating spike-field coupling. Bernstein Conference 2021 (2021)

Levina, A.; Safavi, S.; Logothetis, N.; Chalk, M.: Signatures of criticality observed in efficient coding networks. Computational and Systems Neuroscience Meeting (COSYNE 2020) , Denver, CO, USA (2020)

Safavi, S.; Panagiotaropoulos, F.; Kapoor, V.; Ramirez-Villegas, J.; Logothetis, N.; Besserve, M.: Uncovering the organization of neural circuits with generalized phase-locking analysis. Computational and Systems Neuroscience Meeting (COSYNE 2020) , Denver, CO, USA (2020)

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: Signatures of criticality in efficient coding networks. DPG-Frühjahrstagung 2019, Regensburg, Germany (2019)