Publications of T Schäfer
All genres
Conference Paper (1)
1.
Conference Paper
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, July 22, 2024 - July 26, 2024. (2024)
Meeting Abstract (2)
2.
Meeting Abstract
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, pp. 47 - 48. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal, February 29, 2024 - March 05, 2024. (2024)
3.
Meeting Abstract
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)
Poster (4)
4.
Poster
Signatures of fractal temporal dependencies are correlated between MEG and fMRI. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)
5.
Poster
Unsupervised clustering of burst shapes reveals the increasing complexity of developing networks in vitro. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)
6.
Poster
Accurately measuring Hurst (~1/f) exponents in neurophysiological-like data: Broad-band and envelope of oscillations. Bernstein Conference 2023, Berlin, Germany (2023)
7.
Poster
Quantitative features of EEG and STN-LFP of Parkinson’s patients with motor symptoms. Bernstein Conference 2022, Berlin, Germany (2022)
Preprint (1)
8.
Preprint
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. (submitted)