Conservation of total synaptic weight through balanced synaptic depression and potentiation

By S. Royer, Denis Paré. 2003

390 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

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. Wulfram Gerstner
2. Friedemann Zenke
3. Giulio Tononi
4. Chiara Cirelli
5. György Buzsáki
6. Surya Ganguli
7. John C. Rothwell
8. Y. Dan

In Cognitive Neuroscience

1. Wulfram Gerstner
2. Friedemann Zenke
3. Giulio Tononi
4. György Buzsáki
5. Chiara Cirelli
6. Surya Ganguli
7. Xiao-Jing Wang
8. Y. Dan

In Electrical and Electronic Engineering

1. Wulfram Gerstner
2. Friedemann Zenke
3. Surya Ganguli
4. Gina G. Turrigiano
5. Y. Dan
6. Maxim Bazhenov
7. Mu-Ming Poo
8. Jen-Yung Chen

Citations in the corpus

• The temporal paradox of Hebbian learning and homeostatic plasticity (2017, background): “Its viability as putative RCP arises from the fact that some forms of heterosynaptic plasticity can be induced rapidly, and moreover, similar to synaptic scaling, can show aspects of weight normalization [106].”
• Rhythms of the brain (2006, background): “These “intercalated” neurons are grouped together and form an anatomical and physiological barrier between the projection nuclei of the amygdala (Royer and Paré, 2003; Paré et al., 2003).”
• Spike timing-dependent plasticity: from synapse to perception. (2006, background): “A similar heterosynaptic effect also occurs in the amygdala (89) and the cortex (46).”
• Heterosynaptic Plasticity Prevents Runaway Synaptic Dynamics (2013, background): “Total weight of synaptic inputs to a neuron could be also conserved by local balancing of potentiation and depression (Royer and Paré 2003).”
• Partial Breakdown of Input Specificity of STDP at Individual Synapses Promotes New Learning (2016, background): “However, in experiments with spike timing-dependent plasticity (STDP), only local changes at the synapses surrounding activated inputs have been reported (Schuman and Madison, 1994; Engert and Bonhoeffer, 1997; Royer and Paré, 2003).”
• Amygdala inhibitory circuits and the control of fear memory. (2009, background): “Indeed, bidirectional, NMDA-R-dependent synaptic plasticity can be induced at these inputs (Royer and Paré, 2002, 2003), but the link to behavioral changes has not been established.”
• Homeostatic plasticity in the developing nervous system (2004, background): “, rapid heterosynaptic plasticity that balances homosynaptic change”
• Molecular and electrophysiological evidence for net synaptic potentiation in wake and depression in sleep (2008, background): “First, it indicates that, despite the existence of mechanisms that could enforce an ongoing homeostasis of plastic changes in a neuro”
• Frontiers in Synaptic Neuroscience Synaptic Neuroscience (neutral): “For example, we did not discuss antiSTDP (Rumsey and Abbott, 2006) or heterosynaptic LTP and LTD (Royer and Pare, 2003; Chistiakova and Volgushev, 2009), which are somewhat separate from STDP proper.”
• Sleep and synaptic homeostasis: a hypothesis. (2003, background): “[41] S.”
• Locally dynamic synaptic learning rules in pyramidal neuron dendrites (2007, neutral): “Ca 2 1 release from intracellular stores has been implicated in the heterosynaptic spread of some forms of synaptic plasticity 35,36 .”
• Preconditioning of Low-Frequency Repetitive Transcranial Magnetic Stimulation with Transcranial Direct Current Stimulation: Evidence for Homeostatic Plasticity in the Human Motor Cortex (2004, background): “, 1996) of the rat and the amygdala of the guinea pig (Royer and Pare, 2003).”