Papers
Learning to play with spikes: characterizing, predicting, and engineering unsupervised plasticity rules for spiking reservoir computing
Kania, Confavreux, Vogels (2026). bioRxiv:2026.09.15.751573v1. DOI
Neural basis of social hierarchy across species
Yan, Lin (2026). Nature Reviews Neuroscience. DOI
Proposal: Simulating Neuromorphic Toolbox nodes with snnlab
No public source link available.
Diegobro (2026). Proposal.
Memory by a thousand rules: Automated discovery of multi-type plasticity rules reveals variety & degeneracy at the heart of learning
Confavreux, Harrington, Kania, Ramesh, Krouglova, Bozelos, Macke, Saxe, Gonçalves, Vogels (2025). bioRxiv:2025.05.28.656584v2. DOI
Bursting gamma oscillations in neural mass models
Nandi, Valla, di Volo (2024). Frontiers in Computational Neuroscience. DOI
Training Spiking Neural Networks Using Lessons From Deep Learning
Eshraghian, Ward, Neftci, Wang, Lenz, Dwivedi, Bennamoun, Jeong, Lu (2023). arXiv:2109.12894v6.
Neocortex saves energy by reducing coding precision during food scarcity
Padamsey, Katsanevaki, Dupuy, Rochefort (2022). Neuron. DOI
Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states
Susin, Destexhe (2021). PLOS Computational Biology. DOI
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
Echeveste, Aitchison, Hennequin, Lengyel (2020). Nature Neuroscience. DOI
A quantitative theory of gamma synchronization in macaque V1
Lowet, Roberts, Peter, Gips, De Weerd (2017). eLife. DOI
Phase Difference between Model Cortical Areas Determines Level of Information Transfer
ter Wal, Tiesinga (2017). Frontiers in Computational Neuroscience. DOI
Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex
Orbán, Berkes, Fiser, Lengyel (2016). Neuron. DOI
The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics
Aitchison, Lengyel (2016). PLOS Computational Biology. DOI
Input-Dependent Frequency Modulation of Cortical Gamma Oscillations Shapes Spatial Synchronization and Enables Phase Coding
Lowet, Roberts, Hadjipapas, Peter, van der Eerden, De Weerd (2015). PLOS Computational Biology. DOI
Attentional Stimulus Selection through Selective Synchronization between Monkey Visual Areas
Bosman, Schoffelen, Brunet, Oostenveld, Bastos, Womelsdorf, Rubehn, Stieglitz, De Weerd, Fries (2012). Neuron. DOI
Statistically optimal perception and learning: from behavior to neural representations
Fiser, Berkes, Orbán, Lengyel (2010). Trends in Cognitive Sciences. DOI
The Asynchronous State in Cortical Circuits
Renart, de la Rocha, Bartho, Hollender, Parga, Reyes, Harris (2010). Science. DOI
The Asynchronous State in Cortical Circuits: Supporting Online Material
Renart, de la Rocha, Bartho, Hollender, Parga, Reyes, Harris (2010). Science. DOI
Bayesian inference with probabilistic population codes
Ma, Beck, Latham, Pouget (2006). Nature Neuroscience. DOI
Inference and Computation with Population Codes
Pouget, Dayan, Zemel (2003). Annual Review of Neuroscience. DOI
Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity
Börgers, Kopell (2003). Neural Computation. DOI
Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
Brunel (2000). Journal of Computational Neuroscience. DOI
Artificial Evolution and Artificial Life
Pfeifer, Scheier (1999). Understanding Intelligence, chapter 8 · MIT Press. DOI