Anna Levina

Oleg Vinogradov

Victor Buendia

PLoS Comput. Biol., 2024

Neural timescales from a computational perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning.

[BibT_eX]

[DOI]

Mani Hamidi

Tim Jakob Schäfer

Charley M. Wu

CoRR, 2024

Learning with 3D rotations, a hitchhiker's guide to SO(3).

[BibT_eX]

[DOI]

CoRR, 2024

Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent.

[BibT_eX]

[DOI]

CoRR, 2024

Revising clustering and small-worldness in brain networks.

[BibT_eX]

[DOI]

Tanguy Fardet

Lukas Paulun

CoRR, 2024

Learning with 3D rotations, a hitchhiker's guide to SO(3).

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks.

[BibT_eX]

[DOI]

Roxana Zeraati

Tim Jakob Schäfer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Locally adaptive cellular automata for goal-oriented self-organization.

[BibT_eX]

[DOI]

Victor Buendia

CoRR, 2023

When to be critical? Performance and evolvability in different regimes of neural Ising agents.

[BibT_eX]

[DOI]

CoRR, 2023

2022

A flexible Bayesian framework for unbiased estimation of timescales.

[BibT_eX]

[DOI]

Roxana Zeraati

Tatiana A. Engel

Nat. Comput. Sci., 2022

When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents.

[BibT_eX]

[DOI]

Jan Prosi

Artif. Life, 2022

2021

Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks.

[BibT_eX]

[DOI]

Tanguy Fardet

CoRR, 2021

The dynamical regime and its importance for evolvability, task performance and generalization.

[BibT_eX]

[DOI]

Jan Prosi

Proceedings of the 2021 Conference on Artificial Life, 2021

Reservoir computing with self-organizing neural oscillators.

[BibT_eX]

[DOI]

Jan Prosi

Proceedings of the 2021 Conference on Artificial Life, 2021

2020

Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions.

[BibT_eX]

[DOI]

Tanguy Fardet

PLoS Comput. Biol., 2020

2019

Assessing Aesthetics of Generated Abstract Images Using Correlation Structure.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2015

Self-organization in Balanced State Networks by STDP and Homeostatic Plasticity.

[BibT_eX]

[DOI]

Felix Effenberger

Jürgen Jost

PLoS Comput. Biol., 2015

2013

Critical dynamics in associative memory networks.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2013

2007

Criticality of avalanche dynamics in adaptive recurrent networks.

[BibT_eX]

[DOI]

Udo Ernst

J. Michael Herrmann

Neurocomputing, 2007

2005

Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches.

[BibT_eX]

[DOI]