ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018
Ultrafast Cortical Gain Adaptation in the Human Brain by Trial-To-Trial Changes of Associative Strength in Fear Learning.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Leveraging Psychophysics to Infer the Mechanisms of Encoding Change in Vision.Computational brain & behavior · 2025Article
- Conscious expectancy rather than associative strength elicits brain activity during single-cue fear conditioning.Social cognitive and affective neuroscience · 2023Article
- Oscillatory brain activity links experience to expectancy during associative learning.Psychophysiology · 2022Article
- Conditioned up and down modulations of short latency gamma band oscillations in visual cortex during fear learning in humans.Scientific reports · 2022Article
- Acute response of prefrontal cortex in institutionalized older adults undergoing a single exergames session.IBRO neuroscience reports · 2021Article
- A Model of the Early Visual System Based on Parallel Spike-Sequence Detection, Showing Orientation Selectivity.Biology · 2021Article
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4 authors.
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Abstract
In fear conditioning, more efficient sensory processing of a stimulus (the conditioned stimulus, CS) that has acquired motivational relevance by being paired with an aversive event (the unconditioned stimulus, US) has been associated with increased cortical gain in early sensory brain areas (Miskovic and Keil, 2012). Further, this sensory gain modulation related to short-term plasticity changes occurs independently of aware cognitive anticipation of the aversive US, pointing toward implicit learning mechanisms (Moratti and Keil, 2009). However, it is unknown how quickly the implicit learning of CS-US associations results in the adaptation of cortical gain. Here, using steady-state visually evoked fields derived from human Magnetoencephalography (MEG) recordings in two experiments (
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