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Selected Publications

Podlaski, William F., Agnes, Everton J., & Vogels, Tim P. (2025). High Capacity and Dynamic Accessibility in Associative Memory Networks with Context-Dependent Neuronal and Synaptic Gating. Physical Review X, 15(1), 11057. https://doi.org/10.1103/PhysRevX.15.011057

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Agnes, Everton J., & Vogels, Tim P. (2024). Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks. Nature Neuroscience, 27(5), 964–974. https://doi.org/10.1038/s41593-024-01597-4

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Christodoulou, Georgia, Vogels, Tim P., & Agnes, Everton J. (2022). Regimes and mechanisms of transient amplification in abstract and biological neural networks. PLoS Computational Biology, 18(8), e1010365. https://doi.org/10.1371/journal.pcbi.1010365

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Agnes, Everton J., Luppi, Andrea I., & Vogels, Tim P. (2020). Complementary Inhibitory Weight Profiles Emerge from Plasticity and Allow Flexible Switching of Receptive Fields. Journal of Neuroscience, 40(50), 9634–9649. https://doi.org/10.1523/jneurosci.0276-20.2020

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Selected Projects & Collaborations

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Contextual control of dynamic memory recall in neuronal networks

Research Project | 2 Project Members

Understanding how the brain selects appropriate memories and behaviours in different situations is a fundamental question in neuroscience. However, we still don't fully understand how it integrates all the relevant information to do so. This project explores how the brain combines different types of information, like internal states (hunger, attention) and external cues (environment, sensory input), to guide memory and behaviour. We know that brain activity is not static: memories and thoughts unfold as dynamic sequences, shaped by both what's happening outside the body and what's going on inside. But the mechanisms that allow this kind of flexible, context-dependent processing are still not well understood. We propose that a key part of the answer lies in the brain's complex structure. Neurons differ in type, shape, and how they're connected to one another, and these features likely play a central role in determining how information flows through the network. Using recent data on brain connectivity and mathematical models of neural circuits, this project will explore how context can shift the brain into different modes of operation, allowing the same cue to trigger different responses depending on the situation. By advancing our understanding of how the brain integrates multiple sources of information, this research aims to uncover some of the basic principles that make flexible, intelligent behaviour possible.