Repetition and the brain: neural models of stimulus-specific effects.
By Kalanit Grill-Spector, Richard N. Henson, Alex Martin. 2006
2,355 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Rebecca Saxe
- Donna Rose Addis
- Daniel L. Schacter
- ChrisD . Frith
- R. Nathan Spreng
- Jorie Koster-Hale
- Demis Hassabis
- F. D. de Lange
Citations in the corpus
- Theory of Mind: A Neural Prediction Problem (2013, positive): “Predictive coding may therefore offer an account of widespread findings of repetition suppression in neural populations (Grill-Spector et al., 2006).”
- ERP Repetition Effects and Mismatch Negativity Generation A Predictive Coding Perspective (2007, methodology): “In addition, the P50 repetition effects of Haenschel et al. (2005) show some similarity to fMRI adaptation effects in vision (Box 1 in Grill-Spector et al., 2005).”
- Prior Expectation Mediates Neural Adaptation to Repeated Sounds in the Auditory Cortex: An MEG Study (2011, background): “This phenomenon, known as repetition suppression (RS), is robust and has been observed across a range of stimulus properties, time scales, sensory modalities, and brain areas (Grill-Spector et al., 2006).”
- Interactions between attention and memory. (2007, background): “When novel and familiar images are both visually salient and clear, then there is a bias for neuronal activity to be lower for learned images [9 ,35].”
- Different Neural Mechanisms within Occipitotemporal Cortex Underlie Repetition Suppression across Same and Different-Size Faces (2012, neutral): “…imaging (fMRI) adaptation refers to the reduction in blood oxygen level--dependent (BOLD) signal following 2 or more presentations of the same stimulus and is thought to indicate the presence of a neural population tuned to that stimulus (Naccache and Dehaene 2001; Grill-Spector et al. 2006).”
- Multisensory Interplay Reveals Crossmodal Influences on ‘Sensory-Specific’ Brain Regions, Neural Responses, and Judgments (2008, neutral): “…it is often argued that ''priming'' effects , or BOLD repetition-suppression measures, can be used to assess whether a given region contains different interdigitated neural populations or, instead, a single population that generalizes across a particular property (e.g., Grill-Spector et al., 2006).”
- Neural Coding of Cognitive Control: The Representational Similarity Analysis Approach. (2020, methodology): “Finally, repetition suppression may be an effective means to achieve sub-voxel-level precision in measuring representations [167]–[170].”
- The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions (2011, methodology): “The prediction error would be smaller when a stimulus was preceded by the same stimulus, consistent with neural models of repetition suppression (Desimone and Duncan, 1995; Friston, 2005; Grill-Spector et al., 2006).”
- The role of auditory cortices in the retrieval of single‐trial auditory–visual object memories (2015, neutral): “(Grill-Spector et al., 2006).”
- The Future of Memory: Remembering, Imagining, and the Brain (2012, background): “Another approach to identifying components of the default network and their relation to specific features of future simulations involves repetition-related reductions in neural activity, known as repetition suppression or neural priming (Grill-Spector et al., 2006; Schacter et al., 2007b).”
- A map of abstract relational knowledge in the human hippocampal–entorhinal cortex (2017, methodology): “We exploited fMRI adaptation (Barron et al., 2016; Grill-Spector et al., 2006) to investigate the representational similarity for different objects on the graph.”
- Repetition suppression versus enhancement--it's quantity that matters. (2013, background): “For long, it has been assumed that presenting a stimulus repeatedly leads to reduced neural activity (i.e., repetition suppression) as neural processing becomes more efficient, for example, through a ''sharpening'' of the neural response (for a review, see Grill-Spector et al. 2006).”