Publikationen von S Safavi

Safavi, S.; Dwarakanath, A.; Besserve, M.; Kapoor, V.; Logothetis, N.; Panagiotaropoulos, T.: A Non-Monotonic Correlation Structure in the Macaque Ventrolateral Prefrontal Cortex. In AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, S. 53 (Hg. Pezaris, J.; Hatsopoulos, N.). AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece, 22. Juni 2016 - 26. Juni 2016. The AREADNE Foundation, Cambridge, MA, USA (2016)

Dwarakanath, A.; Safavi, S.; Kapoor, V.; Logothetis, N.; Panagiotaropoulos, T.: Temporal Regimes of State-Dependent Correlated Variability in the Macaque Ventrolateral Prefrontal Cortex. In 16th Conference of Junior Neuroscientists of Tübingen (NeNa 2015): Communicating the Challenges of Science, S. 18. 16th Conference of Junior Neuroscientists of Tübingen (NeNa 2015): Communicating the Challenges of Science, Schramberg, Germany, 23. November 2015 - 25. November 2015. (2015)

Nouri, S.; Pillai, H.; Banchalia, P.; Yoshida, N.; Safavi, S.: Body homeostasis shapes neural and behavioral dynamics of embodied artificial neural networks. 13th MindBrainBody Symposium (MBB 2026), Berlin, Germany (2026)

Safavi, S.; Logothetis, N.; Besserve, M.: Multivariate coupling estimation between continuous signals and point processes. NeurIPS 2019 Workshop: Learning with Temporal Point Processes, Vancouver, Canada (2019)

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

Nouri, S.; Pillai, H.; Banchalia, P.; Yoshida, N.; Zeraati, R.; Safavi, S.: Emergent Functional Circuits in Embodied Foragers. 9th Conference on Cognitive Computational Neuroscience (CCN 2026), New York, NY, USA (2026)

Sturgill, C.; Movahedian, A.; Dwarakanath, A.; Kapoor, V.; Logothetis, N.; Panagiotaropoulos, T.; Zeraati, R.; Safavi, S.: Foraging minds: computational and neural foundations of perceptual flexibility. 9th Conference on Cognitive Computational Neuroscience (CCN 2026), New York, NY, USA (2026)

Zeraati, R.; Oña Jodar, T.; Safavi, S.; Cruz, B.; Poo, C.; Dayan, P.: Optimal Foraging under Naturalistic Temporal Dynamics. 15th FENS Forum 2026: Advancing Neuroscience Together (FENS2026), Barcelona, Spain (2026)

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)

Safavi, S.: Foraging with the mind’s eye: perceptual multistability as internal foraging. Systems Neuroscience Symposium (SNS 2025), Tübingen, Germany (2025)

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)