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Prof MARK VAN ROSSUM's Outputs (41)

Reinforcement learning when your life depends on it: a neuro-economic theory of learning (2024)
Preprint / Working Paper
Jiang, J., Foyard, E., & van Rossum, M. C. Reinforcement learning when your life depends on it: a neuro-economic theory of learning

Synaptic plasticity enables animals to adapt to their environment, but memory formation can consume a substantial amount of metabolic energy, potentially impairing survival. Hence, a neuro-economic dilemma arises whether learning is a profitable inve... Read More about Reinforcement learning when your life depends on it: a neuro-economic theory 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.

Competitive plasticity to reduce the energetic costs of learning (2023)
Preprint / Working Paper
van Rossum, M. C. Competitive plasticity to reduce the energetic costs of learning

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 already carries a significant metabolic cost. Yet, le... Read More about Competitive plasticity to reduce the energetic costs of learning.

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.

Rule Abstraction Is Facilitated by Auditory Cuing in REM Sleep (2023)
Journal Article
Pereira, S. I. R., Santamaria, L., Andrews, R., Schmidt, E., Van Rossum, M. C., & Lewis, P. (2023). Rule Abstraction Is Facilitated by Auditory Cuing in REM Sleep. Journal of Neuroscience, 43(21), 3838-3848. https://doi.org/10.1523/jneurosci.1966-21.2022

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.

Estimating the energy requirements for long term memory formation (2023)
Preprint / Working Paper
Girard, M., Jiang, J., & van Rossum, M. C. Estimating the energy requirements for long term memory formation

Brains consume metabolic energy to process information, but also to store memories. The energy required for memory formation can be substantial, for instance in fruit flies memory formation leads to a shorter lifespan upon subsequent starvation (Mery... Read More about Estimating the energy requirements for long term memory formation.

Weight dependence in BCM leads to adjustable synaptic competition (2022)
Journal Article
Albesa-González, A., Froc, M., Williamson, O., & van Rossum, M. C. (2022). Weight dependence in BCM leads to adjustable synaptic competition. Journal of Computational Neuroscience, 50(4), 431-444. https://doi.org/10.1007/s10827-022-00824-w

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
Jiang, J., Smith, P., & van Rossum, M. C. W. (2020). Electro-physiology Models of Cells with Spherical Geometry with Non-conducting Center. Bulletin of Mathematical Biology, 82(12), Article 147. https://doi.org/10.1007/s11538-020-00828-6

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
Li, H. L., & van Rossum, M. C. (2020). Energy efficient synaptic plasticity. eLife, 9, Article e50804. https://doi.org/10.7554/elife.50804

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
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.

Slowdown of BCM plasticity with many synapses (2019)
Journal Article
Froc, M., & van Rossum, M. C. W. (2019). Slowdown of BCM plasticity with many synapses. Journal of Computational Neuroscience, 46(2), 141-144. https://doi.org/10.1007/s10827-019-00715-7

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
Acunzo, D., MacKenzie, G., & Van Rossum, M. (2019). Spatial attention affects the early processing of neutral versus fearful faces when they are task-irrelevant: a classifier study of the EEG C1 component. Cognitive, Affective, and Behavioral Neuroscience, 19(1), 123–137. https://doi.org/10.3758/s13415-018-00650-7

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.

Functional consequences of pre- and postsynaptic expression of synaptic plasticity (2016)
Preprint / Working Paper
Costa, R. P., Mizusaki, B. E., Jesper Sjöström, P., & van Rossum, M. C. W. Functional consequences of pre- and postsynaptic expression of synaptic plasticity

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.

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.

Sloppiness in Spontaneously Active Neuronal Networks (2015)
Journal Article
Panas, D., Amin, H., Maccione, A., Muthmann, O., van Rossum, M., Berdondini, L., & Hennig, M. H. (2015). Sloppiness in Spontaneously Active Neuronal Networks. Journal of Neuroscience, 35(22), 8480-8492. https://doi.org/10.1523/jneurosci.4421-14.2015

Various plasticity mechanisms, including experience-dependent, spontaneous, as well as homeostatic ones, continuously remodel neural circuits. Yet, despite fluctuations in the properties of single neurons and synapses, the behavior and function of ne... Read More about Sloppiness in Spontaneously Active Neuronal Networks.

Cellular mechanisms underlying behavioral state-dependent bidirectional modulation of motor cortex output (2015)
Journal Article
Schiemann, J., Puggioni, P., Dacre, J., Pelko, M., Domanski, A., van Rossum, M. C., & Duguid, I. (2015). Cellular mechanisms underlying behavioral state-dependent bidirectional modulation of motor cortex output. Cell Reports, 11(8), https://doi.org/10.1016/j.celrep.2015.04.042

Neuronal activity in primary motor cortex (M1) correlates with behavioral state, but the cellular mechanisms underpinning behavioral state-dependent modulation of M1 output remain largely unresolved. Here, we performed in vivo patch-clamp recordings... Read More about Cellular mechanisms underlying behavioral state-dependent bidirectional modulation of motor cortex output.

Spontaneous action potentials and neural coding in unmyelinated axons (2015)
Journal Article
O'Donnell, C., & van Rossum, M. C. (2015). Spontaneous action potentials and neural coding in unmyelinated axons. Neural Computation, 27(4), https://doi.org/10.1162/NECO_a_00705

The voltage-gated Na and K channels in neurons are responsible for action potential generation. Because ion channels open and close in a stochastic fashion, spontaneous (ectopic) action potentials can result even in the absence of stimulation. While... Read More about Spontaneous action potentials and neural coding in unmyelinated axons.

Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping (2015)
Journal Article
Chadwick, A., van Rossum, M. C., & Nolan, M. F. (2015). Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping. eLife, 4, Article e03542. https://doi.org/10.7554/eLife.03542

Hippocampal place cells encode an animal's past, current, and future location through sequences of action potentials generated within each cycle of the network theta rhythm. These sequential representations have been suggested to result from temporal... Read More about Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping.

Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise (2014)
Journal Article
O'Donnell, C., & van Rossum, M. C. (2014). Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise. Frontiers in Computational Neuroscience, 8, https://doi.org/10.3389/fncom.2014.00105

Electrical signaling in neurons is mediated by the opening and closing of large numbers of individual ion channels. The ion channels' state transitions are stochastic and introduce fluctuations in the macroscopic current through ion channel populatio... Read More about Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise.

Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits (2013)
Journal Article
Costa, R. P., Sjöström, P. J., & van Rossum, M. C. (2013). Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits. Frontiers in Computational Neuroscience, 7, https://doi.org/10.3389/fncom.2013.00075

Short-term synaptic plasticity is highly diverse across brain area, cortical layer, cell type, and developmental stage. Since short-term plasticity (STP) strongly shapes neural dynamics, this diversity suggests a specific and essential role in neural... Read More about Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits.

Feedback inhibition enables theta-nested gamma oscillations and grid firing fields (2013)
Journal Article
Pastoll, H., Solanka, L., van Rossum, M. C., & Nolan, M. F. (2013). Feedback inhibition enables theta-nested gamma oscillations and grid firing fields. Neuron, 77(1), https://doi.org/10.1016/j.neuron.2012.11.032

Cortical circuits are thought to multiplex firing rate codes with temporal codes that rely on oscillatory network activity, but the circuit mechanisms that combine these coding schemes are unclear. We establish with optogenetic activation of layer II... Read More about Feedback inhibition enables theta-nested gamma oscillations and grid firing fields.

Soft-bound synaptic plasticity increases storage capacity (2012)
Journal Article
van Rossum, M. C., Shippi, M., & Barrett, A. B. (2012). Soft-bound synaptic plasticity increases storage capacity. PLoS Computational Biology, 8(12), Article e1002836. https://doi.org/10.1371/journal.pcbi.1002836

Accurate models of synaptic plasticity are essential to understand the adaptive properties of the nervous system and for realistic models of learning and memory. Experiments have shown that synaptic plasticity depends not only on pre- and post-synapt... Read More about Soft-bound synaptic plasticity increases storage capacity.

Systematic biases in early ERP and ERF components as a result of high-pass filtering (2012)
Journal Article
Acunzo, D. J., Mackenzie, G., & van Rossum, M. C. (2012). Systematic biases in early ERP and ERF components as a result of high-pass filtering. Journal of Neuroscience Methods, 209(1), https://doi.org/10.1016/j.jneumeth.2012.06.011

The event-related potential (ERP) and event-related field (ERF) techniques provide valuable insights into the time course of processes in the brain. Because neural signals are typically weak, researchers commonly filter the data to increase the signa... Read More about Systematic biases in early ERP and ERF components as a result of high-pass filtering.

Fluctuations in the open time of synaptic channels: an application to noise analysis based on charge (2011)
Journal Article
Feldwisch-Drentrup, H., Barrett, A. B., Smith, M. T., & van Rossum, M. C. (2012). Fluctuations in the open time of synaptic channels: an application to noise analysis based on charge. Journal of Neuroscience Methods, 210(1), https://doi.org/10.1016/j.jneumeth.2011.11.004

Synaptic channels are stochastic devices. Even recording from large ensembles of channels, the fluctuations, described by Markov transition matrices, can be used to extract single channel properties. Here we study fluctuations in the open time of cha... Read More about Fluctuations in the open time of synaptic channels: an application to noise analysis based on charge.

Dendritic spine dynamics regulate the long-term stability of synaptic plasticity (2011)
Journal Article
O'Donnell, C., Nolan, M. F., & van Rossum, M. C. (2011). Dendritic spine dynamics regulate the long-term stability of synaptic plasticity. Journal of Neuroscience, 31(45), https://doi.org/10.1523/JNEUROSCI.2520-11.2011

Long-term synaptic plasticity requires postsynaptic influx of Ca²⁺ and is accompanied by changes in dendritic spine size. Unless Ca²⁺ influx mechanisms and spine volume scale proportionally, changes in spine size will modify spine Ca²⁺ concentrations... Read More about Dendritic spine dynamics regulate the long-term stability of synaptic plasticity.