Neuron as a reward-modulated combinatorial switch and a model of learning behavior
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Summary
A neuronal circuitry layout and synaptic plasticity principles that allow the (pyramidal) neuron to act as a "combinatorial switch" are proposed and it is posited that the excitation strength encodes the combinatorial memory and is regulated by long-term plasticity mechanisms.
- Type
- article
- Published
- 2011-09-18
- Cited by
- 10
- References
- 37
- Access
- Open access
- OpenAlex
- https://openalex.org/W1994484538
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16282348
Keywords
Neuroscience, Neuron, Computer science, Excitatory postsynaptic potential, Inhibitory postsynaptic potential
References
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- Theories of Learning
- Protein Synthesis and Neurotrophin-Dependent Structural Plasticity of Single Dendritic Spines
- A model for stimulus generalization and discrimination.
- Molecular Architecture of Synaptic Actin Cytoskeleton in Hippocampal Neurons Reveals a Mechanism of Dendritic Spine Morphogenesis
- Brainstorms: Philosophical Essays on Mind and Psychology
- Gradient learning in spiking neural networks by dynamic perturbation of conductances.
- Understanding dopamine and reinforcement learning: The dopamine reward prediction error hypothesis
- A mathematical model for simple learning.
- Dendrites: bug or feature?
- Peristaltic patterns for swelling and shrinking of soft cylindrical gels
- Structural dynamics of dendritic spines in memory and cognition.
- Actin in dendritic spines: connecting dynamics to function
Cited by
- Artificial Reward and Punishment: Grounding Artificial Intelligence through motivated learning inspired by biology and the inherent consequences for the Philosophy of Artificial Intelligence.
- Behavioral plasticity through the modulation of switch neurons
- Studies in reinforcement learning and adaptive neural networks
- Multiscale modeling and synaptic plasticity.
- Cognitive Monitoring of Distributed Objects
- An operating principle of the cerebral cortex, and a cellular mechanism for attentional trial-and-error pattern learning and useful classification extraction
- Simulation of an individual with motor disabilities by a deep reinforcement learning model
- Intelligent Neural Network Machine with Thinking Functions
- A Mathematical Approach to the Sleep-Waking Cycle.
- Neuronal Mechanisms of SpinoCerebellar Ataxia Type 27
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