A neural network model of hippocampal-striatal-prefrontal interactions in contextual conditioning
| Autor: | Suzanna Becker, Matthew Turnock |
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| Rok vydání: | 2007 |
| Předmět: |
Neural substrate
Hippocampus Prefrontal Cortex Context (language use) Nucleus accumbens Hippocampal formation Nucleus Accumbens Memory Conditioning Psychological Animals Humans Learning Computer Simulation Prefrontal cortex Molecular Biology Episodic memory General Neuroscience Fornix Neurology (clinical) Neural Networks Computer Cues Nerve Net Psychology Neuroscience Developmental Biology |
| Zdroj: | Brain research. 1202 |
| ISSN: | 0006-8993 |
| Popis: | The hippocampus is thought to be critical for encoding contextually bound memories and setting the context for ongoing behavior. However, the mechanisms by which the hippocampal–cortical system controls behavior are poorly understood. We propose a computational model in which the hippocampus exerts contextual control over motivated behavior by gating prefrontal cortex inputs to the nucleus accumbens. The model integrates the episodic memory functions of the hippocampus, the prefrontal role in representing the motivational stimuli and cognitive control, and the role of striatal regions in conditioned learning within a single theoretical framework. Simulation results are consistent with the hypothesis that hippocampal–prefrontal interactions may act as the neural substrate that allows contextual cues to override conditioned responses at the level of the nucleus accumbens. Prefrontal and hippocampal input overrides the predominant CS–US association if the context is inconsistent, and promotes flexible selection of previously learned associations and behaviors. Simulated transection of the fornix, effectively eliminating hippocampal and prefrontal influence over the nucleus accumbens, abolishes normal contextual modulation of behavior. The model is consistent with a wide range of empirical data. |
| Databáze: | OpenAIRE |
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