Addiction as Maladaptive Learning, with a Focus on Habit Learning

McKim, Theresa H.; Boettiger, Charlotte A.

doi:10.1002/9781118472415.ch1

Cited by 1 publication

(1 citation statement)

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“…Distorted representational maps could also offer an explanation for maladaptive learning and dysfunctional associations, for instance in the context of addiction or anxiety disorders. Here, dysfunctional associations are thought to play a central role in maintaining and consolidating psychopathology (Luscher and Malenka, 2011;McKim and Boettiger, 2015;Ball and Gunaydin, 2022), e.g., when a drug becomes associated with common environmental cues, leading to increased relapse probability, or when vastly innocuous actions, such as walking over a busy street, become linked with extensive fear leading to avoidance and social isolation. In these scenarios, representational maps could offer an Altered representational maps and their clinical implications.…”

Section: Discussionmentioning

confidence: 99%

Representational maps in the brain: concepts, approaches, and applications

Noda,

Aschauer,

Chambers

et al. 2024

Front. Cell. Neurosci.

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Neural systems have evolved to process sensory stimuli in a way that allows for efficient and adaptive behavior in a complex environment. Recent technological advances enable us to investigate sensory processing in animal models by simultaneously recording the activity of large populations of neurons with single-cell resolution, yielding high-dimensional datasets. In this review, we discuss concepts and approaches for assessing the population-level representation of sensory stimuli in the form of a representational map. In such a map, not only are the identities of stimuli distinctly represented, but their relational similarity is also mapped onto the space of neuronal activity. We highlight example studies in which the structure of representational maps in the brain are estimated from recordings in humans as well as animals and compare their methodological approaches. Finally, we integrate these aspects and provide an outlook for how the concept of representational maps could be applied to various fields in basic and clinical neuroscience.

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Section: Discussionmentioning

confidence: 99%