All Outputs (21)

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)
Working Paper
Pache, A., & Van Rossum, M. (0000). 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), 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., …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.

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.

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.

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.