Is Heterosynaptic modulation essential for stabilizing hebbian plasiticity and memory

By C. H. Bailey, M. Giustetto, Yan-You Huang, R. Hawkins, E. Kandel. 2000

387 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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

In Cognitive Neuroscience

Citations in the corpus

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “Neuromodulation (Marder and Thirumalai, 2002; Gu, 2002; Bailey et al., 2000) is a mechanism that mediates neural processes by means of modulatory signals.”
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks (2017, background): “Hebbian learning and neuromodulation are modeled after homosynaptic and heterosynaptic plasticity rules found within real brains [27].”
Actor-critic models of the basal ganglia: new anatomical and computational perspectives (2002, methodology): “…in neural tissues (Bailey et al., 2000; Dittman & Regehr, 1997; Fellous & Linster, 1998; Schacher et al., 1997; Vogt & Nicoll, 1999), and have been recognized to increase the computational complexity of synaptic learning (Bailey et al., 2000; Fellous & Linster, 1998; Wickens and Kotter, 1995).”
Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors (2002, background): “…reinforcement, by neuromodulating synaptic plasticity [providing a " now learn " signal that allows synaptic plasticity and long-term memory formation in areas that were active at the same time or immediately before a rewarding input was encountered (Bailey et al., 2000; Wickens & Kötter, 1995)].”
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules (2016, background): “The biological plausibility of eligibility traces and its potential relation to synaptic “tags” (Frey and Morris, 1997; Bailey et al., 2000; Redondo and Morris, 2011) will be explored in the discussion section.”
Artificial Evolution of Plastic Neural Networks: A Few Key Concepts (2014, neutral): “ergic neurons) [14], [21], [25].”
Adaptation of Robot Behaviour through Online Evolution and Neuromodulated Learning (2012, background): “Modulation has been suggested as essential for stabilising classical Hebbian plasticity and memory [2].”
Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios (2008, background): “This in turn leads to durable and more stable synaptic configuration (Bailey et al., 2000b).”
Neuroevolution: from architectures to learning (2008, background): “The existing evidence points to the combined action of evolved value systems [58] and neuromodulatory effects [2, 18].”
Copying and Evolution of Neuronal Topology (2008, background): “Various activity-dependent heterosynaptic inhibitory modulation mechanisms are known [77,78].”
Evolving neuromodulatory topologies for reinforcement learning-like problems (2007, methodology): “So far, only handcrafted architectures of such kind have been attempted.”
Solving the Distal Reward Problem with Rare Correlations (2013, background): “However, the biological evidence for chemical traces is at best incomplete (Magee & Johnston, 1997; Markram et al., 1997; Bailey et al., 2000); for example, the effect of the modulatory chemical acetylcholine is that of consolidating synaptic growth, but short-term potentiation due to STDP is observ”
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules (2018, background): “2009; Fr´emaux et al., 2013; Fr ´emaux and Gerstner, 2016). Three-factor rules have also been called ’neoHebbian’ (Lisman et al., 2011; Lisman, 2017) or ’heterosynaptic (modulatory-input dependent)’ (Bailey et al., 2000) and can be traced back to the 1960s (Crow, 1968), if not earlier. To our knowle”
A dynamic developmental theory of attention-deficit/hyperactivity disorder (ADHD) predominantly hyperactive/impulsive and combined subtypes. (2005, background): “The resultant phosphorylation of CREB (cAMP response element binding protein), activation of gene transcription, mRNA, protein synthesis, and structural changes are required for memory consolidation (Bailey et al. 2000).”