Publikationen von T Schäfer

Hamidi, M.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Levina, A.; Wu, C.: Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. In: ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. 2024 Conference on Artificial Life, Copenhagen, Denmark, 22. Juli 2024 - 26. Juli 2024. (2024)

Zeraati, R.; Khajehabdollahi, S.; Giannakakis, E.; Schafer, T.; Martius, G.; Levina, A.: Long timescales needed for memory tasks arise from distinct mecha- nisms shaped by learning curricula. In Computational and Systems Neuroscience Meeting (COSYNE 2024), T-35, S. 47 - 48. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal, 29. Februar 2024 - 05. März 2024. (2024)

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, 26. September 2023 - 29. September 2023. (2023)

Schäfer, T.; Gharabaghi, A.; Levina, A.: Signatures of fractal temporal dependencies are correlated between MEG and fMRI. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Schäfer, T.; Giannakakis, E.; Schmidt-Barbo, P.; Levina, A.; Vinogradov, O.: Unsupervised clustering of burst shapes reveals the increasing complexity of developing networks in vitro. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Schäfer, T.; Levina, A.: Accurately measuring Hurst (~1/f) exponents in neurophysiological-like data: Broad-band and envelope of oscillations. Bernstein Conference 2023, Berlin, Germany (2023)

Schäfer, T.; Negahbani, F.; Ferrea, E.; Gharabaghi, A.; Levina, A.: Quantitative features of EEG and STN-LFP of Parkinson’s patients with motor symptoms. Bernstein Conference 2022, Berlin, Germany (2022)

Khajehabdollahi, S.; Zeraati, R.; Giannakakis, E.; Schäfer, T.; Martius, G.; Levina, A.: Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. (eingereicht)