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Learning with 3D rotations, a hitchhiker's guide to SO(3)., , , , and . CoRR, (2024)Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks., , , , , and . ICLR, OpenReview.net, (2024)Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches., , and . NIPS, page 771-778. (2005)When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents., , , , and . Artif. Life, 28 (4): 458-478 (2022)A flexible Bayesian framework for unbiased estimation of timescales., , and . Nat. Comput. Sci., 2 (3): 193-204 (2022)Reservoir computing with self-organizing neural oscillators., , , and . ALIFE, page 78. MIT Press, (2021)Assessing Aesthetics of Generated Abstract Images Using Correlation Structure., , and . SSCI, page 306-313. IEEE, (2019)Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks., and . CoRR, (2021)The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks., , , , and . ICLR, OpenReview.net, (2024)Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks., , , , , and . CoRR, (2023)