Outputs (10)

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.

Author response: Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning (2015)
Other
Costa, R. P., Froemke, R. C., Sjöström, P. J., & van Rossum, M. C. (2015). Author response: 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.

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.