Plasticity in the human central nervous system.

By S. Cooke, T. Bliss. 2006

1,167 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Neurology, Physiology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Jean Daunizeau
2. Karl J. Friston
3. C. Dovrolis
4. Stefan J. Kiebel
5. Alan D. Blair
6. Ulf Ziemann
7. Mustafa Burak Gurbuz
8. Oliver J. Coleman

In Neurology

1. Karl J. Friston
2. Alan D. Blair
3. Ulf Ziemann
4. Oliver J. Coleman
5. Michael C. Ridding

In Physiology

1. Karl J. Friston
2. Ulf Ziemann
3. Michael C. Ridding

Citations in the corpus

• NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks (2022, background): “A specific instance of Hebbian plasticity is Spike Timing Dependent Plasticity (STDP), which controls the strength of a synapse based on the relative timing of the corresponding neurons’ activity (Park et al., 2014; Cooke & Bliss, 2006).”
• Determinants of the induction of cortical plasticity by non‐invasive brain stimulation in healthy subjects (2010, background): “There is compelling evidence that the effects of these NBS techniques are largely due to long term potentiation (LTP)-like and long term depression (LTD)-like mechanisms (see Cooke & Bliss 2006; Thickbroom, 2007; Wagner et al. 2007; Ziemann et al. 2008).”
• Plasticity in Sensory Systems: List of Contributors (2012, background): “” Today we know more about some of these mechanisms at the chemical level in the synapse with the phenomenon known as “long-term potentiation” (LTP) (Cooke and Bliss, 2006).”
• Evolving Plastic Neural Networks for Online Learning: Review and Future Directions (2012, background): “Examples of functional properties for which there is evidence of a role in performing various kinds or aspects of online learning in biological neural networks include spike-timing-dependent synaptic plasticity [2, 5], synaptic scaling and competition [1], stochastic synaptic transmission [24], meta”
• Population dynamics: Variance and the sigmoid activation function (2008, background): “LTP is a long-lasting modification of synaptic efficacy and is believed to represent a physiological substrate of learning and memory (Bliss and Lomo, 1973; Martin et al., 2000; Malenka and Bear, 2004; Cooke and Bliss, 2006).”
• Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). (2014, neutral): “…these striking similarities between rTMS effects and experimental data on long-term synaptic plasticity, Ziemann and other authors (Ziemann, 2004; Cooke and Bliss, 2006; Ziemann et al., 2008) have underscored that the plausibility of such a hypothesis was only based on indirect arguments and…”