Johanni Brea

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 27

Top Topics

Multilayer Perceptron

Summary Statistics

Reinforcement Learning

Biologically Plausible

Top Venues

PLoS Comput. Biol.

Publications

Flavio Martinelli, Berfin Simsek, Johanni Brea, Wulfram Gerstner
Expand-and-Cluster: Exact Parameter Recovery of Neural Networks. CoRR (2023)
Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
Should Under-parameterized Student Networks Copy or Average Teacher Weights? CoRR (2023)
Johanni Brea, Flavio Martinelli, Berfin Simsek, Wulfram Gerstner
MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately). CoRR (2023)
Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
Should Under-parameterized Student Networks Copy or Average Teacher Weights? NeurIPS (2023)
Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
Kernel Memory Networks: A Unifying Framework for Memory Modeling. NeurIPS (2022)
Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
Kernel Memory Networks: A Unifying Framework for Memory Modeling. CoRR (2022)
Luca Viano, Johanni Brea
Neural NID Rules. CoRR (2022)
Jamie Fairbrother, Christopher Nemeth, Maxime Rischard, Johanni Brea, Thomas Pinder
Language. J. Stat. Softw. 102 (1) (2022)
Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff
Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. NeuroImage 246 (2022)
Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. CoRR (2021)
Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
Learning in Volatile Environments With the Bayes Factor Surprise. Neural Comput. 33 (2) (2021)
Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
Fitting summary statistics of neural data with a differentiable spiking network simulator. CoRR (2021)
Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. ICML (2021)
Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
Fitting summary statistics of neural data with a differentiable spiking network simulator. NeurIPS (2021)
Simone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, Johanni Brea
On the choice of metric in gradient-based theories of brain function. PLoS Comput. Biol. 16 (4) (2020)
Bernd Illing, Wulfram Gerstner, Johanni Brea
Biologically plausible deep learning - but how far can we go with shallow networks? CoRR (2019)
Johanni Brea, Berfin Simsek, Bernd Illing, Wulfram Gerstner
Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape. CoRR (2019)
Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
An Approximate Bayesian Approach to Surprise-Based Learning. CoRR (2019)
Bernd Illing, Wulfram Gerstner, Johanni Brea
Biologically plausible deep learning - But how far can we go with shallow networks? Neural Networks 118 (2019)
Dane S. Corneil, Wulfram Gerstner, Johanni Brea
Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation. ICML (2018)
Dane S. Corneil, Wulfram Gerstner, Johanni Brea
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation. CoRR (2018)
Florian Colombo, Johanni Brea, Wulfram Gerstner
Learning to Generate Music with BachProp. CoRR (2018)
Samuel P. Muscinelli, Wulfram Gerstner, Johanni Brea
Exponentially Long Orbits in Hopfield Neural Networks. Neural Comput. 29 (2) (2017)
Johanni Brea
Is prioritized sweeping the better episodic control? CoRR (2017)
Thomas Mesnard, Wulfram Gerstner, Johanni Brea
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity. CoRR (2016)
Johanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, Walter Senn
Prospective Coding by Spiking Neurons. PLoS Comput. Biol. 12 (6) (2016)
Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer, Johanni Brea, Wulfram Gerstner
Algorithmic Composition of Melodies with Deep Recurrent Neural Networks. CoRR (2016)
Johanni Brea, Robert Urbanczik, Walter Senn
A Normative Theory of Forgetting: Lessons from the Fruit Fly. PLoS Comput. Biol. 10 (6) (2014)
Johanni Brea, Walter Senn, Jean-Pascal Pfister
Sequence learning with hidden units in spiking neural networks. NIPS (2011)