Johanni Brea
Affiliations: | École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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| Brea J, Clayton NS, Gerstner W. (2023) Computational models of episodic-like memory in food-caching birds. Nature Communications. 14: 2979 |
| Liakoni V, Lehmann MP, Modirshanechi A, et al. (2022) Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. Neuroimage. 246: 118780 |
| Liakoni V, Modirshanechi A, Gerstner W, et al. (2021) Learning in Volatile Environments with the Bayes Factor Surprise. Neural Computation. 1-72 |
| Surace SC, Pfister JP, Gerstner W, et al. (2020) On the choice of metric in gradient-based theories of brain function. Plos Computational Biology. 16: e1007640 |
| Illing B, Gerstner W, Brea J. (2019) Biologically plausible deep learning - But how far can we go with shallow networks? Neural Networks : the Official Journal of the International Neural Network Society. 118: 90-101 |
| Gerstner W, Lehmann M, Liakoni V, et al. (2018) Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules. Frontiers in Neural Circuits. 12: 53 |
| Muscinelli SP, Gerstner W, Brea J. (2016) Exponentially Long Orbits in Hopfield Neural Networks. Neural Computation. 1-27 |
| Brea J, Gaál AT, Urbanczik R, et al. (2016) Prospective Coding by Spiking Neurons. Plos Computational Biology. 12: e1005003 |
| Senn W, Brea J. (2015) Neurons that Remember How We Got There. Neuron. 85: 664-6 |
| Brea J, Urbanczik R, Senn W. (2014) A normative theory of forgetting: lessons from the fruit fly. Plos Computational Biology. 10: e1003640 |