Formal learning theory dissociates brain regions with different temporal integration
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Formal learning theory dissociates brain regions with different temporal integration. / Gläscher, Jan; Büchel, Christian.
In: NEURON, Vol. 47, No. 2, 21.07.2005, p. 295-306.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Formal learning theory dissociates brain regions with different temporal integration
AU - Gläscher, Jan
AU - Büchel, Christian
PY - 2005/7/21
Y1 - 2005/7/21
N2 - Learning can be characterized as the extraction of reliable predictions about stimulus occurrences from past experience. In two experiments, we investigated the interval of temporal integration of previous learning trials in different brain regions using implicit and explicit Pavlovian fear conditioning with a dynamically changing reinforcement regime in an experimental setting. With formal learning theory (the Rescorla-Wagner model), temporal integration is characterized by the learning rate. Using fMRI and this theoretical framework, we are able to distinguish between learning-related brain regions that show long temporal integration (e.g., amygdala) and higher perceptual regions that integrate only over a short period of time (e.g., fusiform face area, parahippocampal place area). This approach allows for the investigation of learning-related changes in brain activation, as it can dissociate brain areas that differ with respect to their integration of past learning experiences by either computing long-term outcome predictions or instantaneous reinforcement expectancies.
AB - Learning can be characterized as the extraction of reliable predictions about stimulus occurrences from past experience. In two experiments, we investigated the interval of temporal integration of previous learning trials in different brain regions using implicit and explicit Pavlovian fear conditioning with a dynamically changing reinforcement regime in an experimental setting. With formal learning theory (the Rescorla-Wagner model), temporal integration is characterized by the learning rate. Using fMRI and this theoretical framework, we are able to distinguish between learning-related brain regions that show long temporal integration (e.g., amygdala) and higher perceptual regions that integrate only over a short period of time (e.g., fusiform face area, parahippocampal place area). This approach allows for the investigation of learning-related changes in brain activation, as it can dissociate brain areas that differ with respect to their integration of past learning experiences by either computing long-term outcome predictions or instantaneous reinforcement expectancies.
KW - Adult
KW - Brain
KW - Brain Mapping
KW - Conditioning, Classical
KW - Fear
KW - Functional Laterality
KW - Galvanic Skin Response
KW - Humans
KW - Image Processing, Computer-Assisted
KW - Learning
KW - Magnetic Resonance Imaging
KW - Male
KW - Memory, Short-Term
KW - Models, Neurological
KW - Nonlinear Dynamics
KW - Oxygen
KW - Photic Stimulation
KW - Predictive Value of Tests
KW - Psychomotor Performance
KW - Regression Analysis
KW - Reinforcement (Psychology)
U2 - 10.1016/j.neuron.2005.06.008
DO - 10.1016/j.neuron.2005.06.008
M3 - SCORING: Journal article
C2 - 16039570
VL - 47
SP - 295
EP - 306
JO - NEURON
JF - NEURON
SN - 0896-6273
IS - 2
ER -