Outputs (22)

Competitive plasticity to reduce the energetic costs of learning (2024)
Journal Article
van Rossum, M. C. W., & Pache, A. (2024). Competitive plasticity to reduce the energetic costs of learning. PLoS Computational Biology, 20(10), Article e1012553. https://doi.org/10.1371/journal.pcbi.1012553

The brain is not only constrained by energy needed to fuel computation, but it is also constrained by energy needed to form memories. Experiments have shown that learning simple conditioning tasks which might require only a few synaptic updates, alre... Read More about Competitive plasticity to reduce the energetic costs of learning.

Energetically efficient learning in neuronal networks (2023)
Journal Article
Pache, A., & van Rossum, M. C. (2023). Energetically efficient learning in neuronal networks. Current Opinion in Neurobiology, 83, Article 102779. https://doi.org/10.1016/j.conb.2023.102779

Human and animal experiments have shown that acquiring and storing information can require substantial amounts of metabolic energy. However, computational models of neural plasticity only seldom take this cost into account, and might thereby miss an... Read More about Energetically efficient learning in neuronal networks.

Lazy learning: a biologically-inspired plasticity rule for fast and energy efficient synaptic plasticity (2023)
Preprint / Working Paper
Pache, A., & Van Rossum, M. Lazy learning: a biologically-inspired plasticity rule for fast and energy efficient synaptic plasticity

When training neural networks for classification tasks with backpropagation, parameters are updated on every trial, even if the sample is classified correctly. In contrast, humans concentrate their learning effort on errors. Inspired by human learnin... Read More about Lazy learning: a biologically-inspired plasticity rule for fast and energy efficient synaptic plasticity.

Self-organised reactivation maintains and reinforces memories despite synaptic turnover (2019)
Journal Article
Fauth, M. J., & van Rossum, M. C. (2019). Self-organised reactivation maintains and reinforces memories despite synaptic turnover. eLife, 2019(8), Article e43717. https://doi.org/10.7554/eLife.43717

Long-term memories are believed to be stored in the synapses of cortical neuronal networks. However, recent experiments report continuous creation and removal of cortical synapses, which raises the question how memories can survive on such a variable... Read More about Self-organised reactivation maintains and reinforces memories despite synaptic turnover.

Unconscious biases in neural populations coding multiple stimuli (2018)
Journal Article
Keemink, S. W., Tailor, D. V., & van Rossum, M. C. (2018). Unconscious biases in neural populations coding multiple stimuli. Neural Computation, 30(12), 3168–3188. https://doi.org/10.1162/neco_a_01130

Throughout the nervous system information is commonly coded in activity distributed over populations of neurons. In idealized situations where a single, continuous stimulus is encoded in a homogeneous population code, the value of the encoded stimulu... Read More about Unconscious biases in neural populations coding multiple stimuli.

Effects of V1 surround modulation tuning on visual saliency and the tilt illusion (2018)
Journal Article
Keemink, S. W., Boucsein, C., & van Rossum, M. C. (2018). Effects of V1 surround modulation tuning on visual saliency and the tilt illusion. Journal of Neurophysiology, 120(3), 942-952. https://doi.org/10.1152/jn.00864.2017

© 2018 American Physiological Society. All rights reserved. Neurons in the primary visual cortex respond to oriented stimuli placed in the center of their receptive field, yet their response is modulated by stimuli outside the receptive field (the su... Read More about Effects of V1 surround modulation tuning on visual saliency and the tilt illusion.

FISSA: a neuropil decontamination toolbox for calcium imaging signals (2018)
Journal Article
Keemink, S. W., Lowe, S. C., Pakan, J. M., Dylda, E., van Rossum, M. C., & Rochefort, N. L. (in press). FISSA: a neuropil decontamination toolbox for calcium imaging signals. Scientific Reports, 8, Article 3493. https://doi.org/10.1038/s41598-018-21640-2

In vivo calcium imaging has become a method of choice to image neuronal population activity throughout the nervous system. These experiments generate large sequences of images. Their analysis is computationally intensive and typically involves motion... Read More about FISSA: a neuropil decontamination toolbox for calcium imaging signals.

Extraction of synaptic input properties in vivo (2017)
Journal Article
Puggioni, P., Jelitai, M., Duguid, I., & van Rossum, M. C. (2017). Extraction of synaptic input properties in vivo. Neural Computation, 29(7), https://doi.org/10.1162/NECO_a_00975

Knowledge of synaptic input is crucial for understanding synaptic integration and ultimately neural function. However, in vivo, the rates at which synaptic inputs arrive are high, so that it is typically impossible to detect single events. We show he... Read More about Extraction of synaptic input properties in vivo.

Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions (2017)
Journal Article
Keck, T., Toyoizumi, T., Chen, L., Doiron, B., Feldman, D. E., Fox, K., Gerstner, W., Haydon, P. G., Hübener, M., Lee, H.-K., Lisman, J. E., Rose, T., Sengpiel, F., Stellwagen, D., Stryker, M. P., Turrigiano, G. G., & van Rossum, M. C. (2017). Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions. Philosophical Transactions B: Biological Sciences, 372(1715), https://doi.org/10.1098/rstb.2016.0158

We summarize here the results presented and subsequent discussion from the meeting on Integrating Hebbian and Homeostatic Plasticity at the Royal Society in April 2016. We first outline the major themes and results presented at the meeting. We next p... Read More about Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions.

Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning (2015)
Journal Article
Costa, R. P., Froemke, R. C., Sjöström, P. J., & van Rossum, M. C. (2015). Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning. eLife, 4, 1-16. https://doi.org/10.7554/eLife.09457

Although it is well known that long-term synaptic plasticity can be expressed both pre- and postsynaptically, the functional consequences of this arrangement have remained elusive. We show that spike-timing-dependent plasticity with both pre- and pos... Read More about Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning.