The other side of the engram: experience-driven changes in neuronal intrinsic excitability
By Wei Zhang, D. Linden. Nature Reviews Neuroscience, 2003
899 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/e14933e8c3da5e4cae036fecc02ea7ef6c28e5ed
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
- Wulfram Gerstner
- Niraj S. Desai
- A. Watt
- Pierre Yger
- R. Malenka
- Matthieu Gilson
- Per Jesper Sjöström
- S. Hyman
In Cognitive Neuroscience
- Wulfram Gerstner
- Niraj S. Desai
- A. Watt
- Matthieu Gilson
- Pierre Yger
- Razvan V. Florian
- Per Jesper Sjöström
- R. Malenka
Citations in the corpus
- SORN: A Self-Organizing Recurrent Neural Network (2009, positive): “At the same time, intrinsic plasticity (IP) was shown to directly regulate neuronal excitability (Desai et al., 1999; Zhang and Linden, 2003).”
- Mechanisms for Stable, Robust, and Adaptive Development of Orientation Maps in the Primary Visual Cortex (2013, background): “Unlike the linear model units with fixed threshold, real neurons are thought to have intrinsic homeostatic plasticity, whereby each neuron regulates the level of synaptic input required to generate an action potential by changing the number and distribution of its ion channels (Davis and Bezprozvann”
- Dendritic excitability and synaptic plasticity. (2008, positive): “Here we ask the question: Are activity-dependent changes in intrinsic dendritic excitability likely to be the result of negative or positive feedback? In other words, do such dendritic changes contribute to homeostatic or to Hebbian-like mechanisms? As discussed in section IID2, LTP is sometimes ass”
- Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “A detailed description of the GA used in this investigation can be found in [18–20].”
- Sensitive Periods in the Development of the Brain and Behavior (2004, background): “At the same time, other homeostatic mechanisms within excitatory neurons increase their excitability and sensitivity to synaptic input (Zhang & Linden, 2003; Turrigiano & Nelson, 2000).”
- Homeostatic synaptic plasticity: local and global mechanisms for stabilizing neuronal function. (2012, methodology): “The online first http://cshperspectives.cshlp.org/site/misc/subscribe.xhtml go to: Cold Spring Harbor Perspectives in BiologyTo subscribe to Copyright © 2011 Cold Spring Harbor Laboratory Press; all rights reserved”
- Frontiers in Synaptic Neuroscience Synaptic Neuroscience (positive): “Rather, like its synapses, a neuron’s intrinsic electrical properties evolve throughout life, often under the influence of activity-dependent plasticity (Zhang and Linden, 2003; Frick and Johnston, 2005).”
- Models of Metaplasticity: A Review of Concepts (2015, background): “Several types of homeostatic processes have been observed at the neuronal level in many brain areas, such as synaptic scaling (Turrigiano et al., 1998) and intrinsic plasticity (Zhang and Linden, 2003).”
- A neurobehavioral model of affiliative bonding: implications for conceptualizing a human trait of affiliation. (2005, background): “…that modulate dendritic outgrowth, synaptogenesis, synaptic regression and hence synaptic connectivity, or the intrinsic excitability of neurons within the distributed structures of a particular neural system or network (Colman et al. 1997; Magee & Johnston 1997; Mattson 1988; Zhang & Linden 2003).”
- Emergent Dynamical Properties of the BCM Learning Rule (2017, background): “It is well known that plasticity goes beyond synapses, and it is sometimes even a neuron-wide phenomenon [29], and that there is no unique route to regulating the sliding threshold of the BCM rule [10, 30].”
- Neural mechanisms of addiction: the role of reward-related learning and memory. (2006, background): “…that produce synaptic and other forms of neural plasticity [e.g., changes in the intrinsic, global excitability of individual neurons (Nestler & Aghajanian 1997, Zhang & Linden 2003)] can convert druginduced signals, such as dopamine release, into long-term alterations in neural function.”