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Works (40)

Emergent Rate-Based Dynamics in Duplicate-Free Populations of Spiking Neurons

Physical Review Letters
2025-01-06 | Journal article
Contributors: Valentin Schmutz; Johanni Brea; Wulfram Gerstner
Source: check_circle
Crossref

Two-factor synaptic consolidation reconciles robust memory with pruning and homeostatic scaling

2024-07-24 | Preprint
Contributors: Georgios Iatropoulos; Wulfram Gerstner; Johanni Brea
Source: check_circle
Crossref

Computational models of episodic-like memory in food-caching birds

Nature Communications
2023 | Journal article
Contributors: Brea, Johanni; Clayton, Nicola S; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Convergence of redundancy-free spiking neural networks to rate networks

arXiv preprint arXiv:2303.05174
2023 | Journal article
Contributors: Schmutz, Valentin; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Expand-and-Cluster: Exact Parameter Recovery of Neural Networks

arXiv preprint arXiv:2304.12794
2023 | Journal article
Contributors: Martinelli, Flavio; Simsek, Berfin; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately)

arXiv preprint arXiv:2301.10638
2023 | Journal article
Contributors: Brea, Johanni; Martinelli, Flavio; Şimşek, Berfin; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Should Under-parameterized Student Networks Copy or Average Teacher Weights?

Thirty-seventh Conference on Neural Information Processing Systems
2023 | Conference paper
URI:

https://openreview.net/forum?id=MG0mYskXN2

Contributors: Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
Source: Self-asserted source
Johanni Brea

Surprise and novelty in the brain

Current Opinion in Neurobiology
2023 | Journal article
Contributors: Modirshanechi, Alireza; Becker, Sophia; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Computational models of episodic-like memory in food-caching birds

Nature Communications
2023-05-23 | Journal article
Contributors: Johanni Brea; Nicola S. Clayton; Wulfram Gerstner
Source: check_circle
Crossref

A taxonomy of surprise definitions

Journal of Mathematical Psychology
2022 | Journal article
Contributors: Modirshanechi, Alireza; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

NeuroImage
2022 | Journal article
Contributors: Liakoni, Vasiliki; Lehmann, Marco P; Modirshanechi, Alireza; Brea, Johanni; Lutti, Antoine; Gerstner, Wulfram; Preuschoff, Kerstin
Source: Self-asserted source
Johanni Brea

GaussianProcesses. jl: A Nonparametric Bayes Package for the Julia Language

Journal of Statistical Software
2022 | Journal article
Contributors: Fairbrother, Jamie; Nemeth, Christopher; Rischard, Maxime; Brea, Johanni; Pinder, Thomas
Source: Self-asserted source
Johanni Brea

Kernel Memory Networks: A Unifying Framework for Memory Modeling

Advances in Neural Information Processing Systems
2022 | Journal article
Contributors: Iatropoulos, Georgios; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Neural NID Rules

arXiv preprint arXiv:2202.06036
2022 | Journal article
Contributors: Viano, Luca; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Remembering the “when”: Hebbian memory models for the time of past events

bioRxiv
2022 | Journal article
Contributors: Brea, Johanni; Modirshanechi, Alireza; Iatropoulos, Georgios; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Remembering the “When”: Hebbian Memory Models for the Time of Past Events

2022-11-29 | Preprint
Contributors: Johanni Brea; Alireza Modirshanechi; Georgios Iatropoulos; Wulfram Gerstner
Source: check_circle
Crossref

Fitting summary statistics of neural data with a differentiable spiking network simulator

Advances in Neural Information Processing Systems
2021 | Journal article
Contributors: Bellec, Guillaume; Wang, Shuqi; Modirshanechi, Alireza; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances

International Conference on Machine Learning
2021 | Conference paper
Contributors: Simsek, Berfin; Ged, François; Jacot, Arthur; Spadaro, Francesco; Hongler, Clément; Gerstner, Wulfram; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Learning Abstract Representations in Reinforcement Learning via Model Sparsity

2021 | Journal article
Contributors: Volodin, Sergei; Gerstner, Wulfram; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Learning in Volatile Environments With the Bayes Factor Surprise

Neural Computation
2021 | Journal article
Contributors: Liakoni, Vasiliki; Modirshanechi, Alireza; Gerstner, Wulfram; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Surprise: a unified theory and experimental predictions

bioRxiv
2021 | Journal article
Contributors: Modirshanechi, Alireza; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Testing two competing hypotheses for Eurasian jays’ caching for the future

Scientific reports
2021 | Journal article
Contributors: Amodio, Piero; Brea, Johanni; Farrar, Benjamin G; Ostojić, Ljerka; Clayton, Nicola S
Source: Self-asserted source
Johanni Brea

On the choice of metric in gradient-based theories of brain function

PLOS Computational Biology
2020 | Journal article
Contributors: Surace, Simone Carlo; Pfister, Jean-Pascal; Gerstner, Wulfram; Brea, Johanni
Source: Self-asserted source
Johanni Brea

On the choice of metric in gradient-based theories of brain function

PLOS Computational Biology
2020-04-09 | Journal article
Contributors: Simone Carlo Surace; Francis Ouellette; Jean-Pascal Pfister; Wulfram Gerstner; Johanni Brea
Source: check_circle
Crossref

Biologically plausible deep learning—But how far can we go with shallow networks?

Neural Networks
2019 | Journal article
Contributors: Illing, Bernd; Gerstner, Wulfram; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape

arXiv preprint arXiv:1907.02911
2019 | Journal article
Contributors: Brea, Johanni; Simsek, Berfin; Illing, Bernd; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Decoupling Backpropagation using Constrained Optimization Methods

2018 | Journal article
Contributors: Gotmare, Akhilesh; Thomas, Valentin; Brea, Johanni; Jaggi, Martin
Source: Self-asserted source
Johanni Brea

Efficient model-based deep reinforcement learning with variational state tabulation

International Conference on Machine Learning
2018 | Conference paper
Contributors: Corneil, Dane; Gerstner, Wulfram; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Eligibility traces and plasticity on behavioral time scales: experimental support of neohebbian three-factor learning rules

Frontiers in neural circuits
2018 | Journal article
Contributors: Gerstner, Wulfram; Lehmann, Marco; Liakoni, Vasiliki; Corneil, Dane; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Learning to Generate Music with BachProp

arXiv preprint arXiv:1812.06669
2018 | Journal article
Contributors: Colombo, Florian; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Exponentially long orbits in Hopfield neural networks

Neural computation
2017 | Journal article
Contributors: Muscinelli, Samuel P; Gerstner, Wulfram; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Is prioritized sweeping the better episodic control?

arXiv preprint arXiv:1711.06677
2017 | Journal article
Contributors: Brea, Johanni
Source: Self-asserted source
Johanni Brea

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

arXiv preprint arXiv:1606.07251
2016 | Journal article
Contributors: Colombo, Florian; Muscinelli, Samuel P; Seeholzer, Alexander; Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Does computational neuroscience need new synaptic learning paradigms?

Current Opinion in Behavioral Sciences
2016 | Journal article
Contributors: Brea, Johanni; Gerstner, Wulfram
Source: Self-asserted source
Johanni Brea

Prospective coding by spiking neurons

PLoS computational biology
2016 | Journal article
Contributors: Brea, Johanni; Gaál, Alexisz Tamás; Urbanczik, Robert; Senn, Walter
Source: Self-asserted source
Johanni Brea

Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity

arXiv preprint arXiv:1612.03214
2016 | Journal article
Contributors: Mesnard, Thomas; Gerstner, Wulfram; Brea, Johanni
Source: Self-asserted source
Johanni Brea

Neurons that Remember How We Got There

Neuron
2015 | Journal article
Contributors: Senn, Walter; Brea, Johanni
Source: Self-asserted source
Johanni Brea

A normative theory of forgetting: lessons from the fruit fly

PLoS Comput Biol
2014 | Journal article
Contributors: Brea, Johanni; Urbanczik, Robert; Senn, Walter
Source: Self-asserted source
Johanni Brea

Matching recall and storage in sequence learning with spiking neural networks

Journal of neuroscience
2013 | Journal article
Contributors: Brea, Johanni; Senn, Walter; Pfister, Jean-Pascal
Source: Self-asserted source
Johanni Brea

Sequence learning with hidden units in spiking neural networks

Advances in neural information processing systems
2011 | Journal article
Contributors: Brea, Johanni; Senn, Walter; Pfister, Jean-Pascal
Source: Self-asserted source
Johanni Brea