All Outputs (31)

Energetically efficient learning in neuronal networks (2023)
Journal Article

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.

Rule Abstraction Is Facilitated by Auditory Cuing in REM Sleep (2023)
Journal Article

Sleep facilitates abstraction, but the exact mechanisms underpinning this are unknown. Here, we aimed to determine whether triggering reactivation in sleep could facilitate this process. We paired abstraction problems with sounds, then replayed these... Read More about Rule Abstraction Is Facilitated by Auditory Cuing in REM Sleep.

Weight dependence in BCM leads to adjustable synaptic competition (2022)
Journal Article

Models of synaptic plasticity have been used to better understand neural development as well as learning and memory. One prominent classic model is the Bienenstock-Cooper-Munro (BCM) model that has been particularly successful in explaining plasticit... Read More about Weight dependence in BCM leads to adjustable synaptic competition.

Electro-physiology Models of Cells with Spherical Geometry with Non-conducting Center (2020)
Journal Article

We study the flow of electrical currents in spherical cells with a non-conducting core, so that current flow is restricted to a thin shell below the cell’s membrane. Examples of such cells are fat storing cells (adipocytes). We derive the relation be... Read More about Electro-physiology Models of Cells with Spherical Geometry with Non-conducting Center.

Energy efficient synaptic plasticity (2020)
Journal Article

Many aspects of the brain's design can be understood as the result of evolutionary drive towards metabolic efficiency. In addition to the energetic costs of neural computation and transmission, experimental evidence indicates that synaptic plasticity... Read More about Energy efficient synaptic plasticity.

Self-organised reactivation maintains and reinforces memories despite synaptic turnover (2019)
Journal Article

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.

Slowdown of BCM plasticity with many synapses (2019)
Journal Article

During neural development sensory stimulation induces long-term changes in the receptive field of the neurons that encode the stimuli. The Bienenstock-Cooper-Munro (BCM) model was introduced to model and analyze this process computationally, and it r... Read More about Slowdown of BCM plasticity with many synapses.

Spatial attention affects the early processing of neutral versus fearful faces when they are task-irrelevant: a classifier study of the EEG C1 component (2018)
Journal Article

EEG studies suggest that the emotional content of visual stimuli is processed rapidly. In particular, the C1 component, which occurs up to 100 ms after stimulus onset and likely reflects activity in primary visual cortex V1, has been reported to be s... Read More about Spatial attention affects the early processing of neutral versus fearful faces when they are task-irrelevant: a classifier study of the EEG C1 component.

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., …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.

Functional consequences of pre- and postsynaptic expression of synaptic plasticity (2017)
Journal Article
Costa, R. P., Mizusaki, B. E., Sjöström, P. J., & van Rossum, M. C. (2017). Functional consequences of pre- and postsynaptic expression of synaptic plasticity. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 372(1715), https://doi.org/10.1098/rstb.2016.0153

Growing experimental evidence shows that both homeostatic and Hebbian synaptic plasticity can be expressed presynaptically as well as postsynaptically. In this review, we start by discussing this evidence and methods used to determine expression loci... Read More about Functional consequences of pre- and postsynaptic expression of synaptic plasticity.

Flexible theta sequence compression mediated via phase precessing interneurons (2016)
Journal Article
Chadwick, A., van Rossum, M. C., & Nolan, M. F. (2016). Flexible theta sequence compression mediated via phase precessing interneurons. eLife, 5, Article e20349. https://doi.org/10.7554/eLife.20349

Encoding of behavioral episodes as spike sequences during hippocampal theta oscillations provides a neural substrate for computations on events extended across time and space. However, the mechanisms underlying the numerous and diverse experimentally... Read More about Flexible theta sequence compression mediated via phase precessing interneurons.

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.

A unified account of tilt illusions, association fields, and contour detection based on Elastica (2015)
Journal Article
Keemink, S. W., & van Rossum, M. C. (2016). A unified account of tilt illusions, association fields, and contour detection based on Elastica. Vision Research, 126, https://doi.org/10.1016/j.visres.2015.05.021

As expressed in the Gestalt law of good continuation, human perception tends to associate stimuli that form smooth continuations. Contextual modulation in primary visual cortex, in the form of association fields, is believed to play an important role... Read More about A unified account of tilt illusions, association fields, and contour detection based on Elastica.

Stability of neuronal networks with homeostatic regulation (2015)
Journal Article
Harnack, D., Pelko, M., Chaillet, A., Chitour, Y., & van Rossum, M. C. (2015). Stability of neuronal networks with homeostatic regulation. PLoS Computational Biology, 11(7), Article e1004357. https://doi.org/10.1371/journal.pcbi.1004357

Neurons are equipped with homeostatic mechanisms that counteract long-term perturbations of their average activity and thereby keep neurons in a healthy and information-rich operating regime. While homeostasis is believed to be crucial for neural fun... Read More about Stability of neuronal networks with homeostatic regulation.

Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks (2015)
Journal Article
Solanka, L., van Rossum, M. C., & Nolan, M. F. (in press). Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks. eLife, 4, Article e06444. https://doi.org/10.7554/eLife.06444

Neural computations underlying cognitive functions require calibration of the strength of excitatory and inhibitory synaptic connections and are associated with modulation of gamma frequency oscillations in network activity. However, principles relat... Read More about Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks.

Energy efficient sparse connectivity from imbalanced synaptic plasticity rules (2015)
Journal Article
Sacramento, J., Wichert, A., & van Rossum, M. C. (2015). Energy efficient sparse connectivity from imbalanced synaptic plasticity rules. PLoS Computational Biology, 11(6), Article e1004265. https://doi.org/10.1371/journal.pcbi.1004265

It is believed that energy efficiency is an important constraint in brain evolution. As synaptic transmission dominates energy consumption, energy can be saved by ensuring that only a few synapses are active. It is therefore likely that the formation... Read More about Energy efficient sparse connectivity from imbalanced synaptic plasticity rules.