Topographic maps in human frontal and parietal cortex
By M. Silver, Sabine Kastner. 2009
Subfields: Anatomy, 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
- Justin Riddle
- Jonathan W. Schooler
- Robert T. Knight
- F. Frohlich
- Mattia F. Pagnotta
- M. D'esposito
- Grit Hein
Citations in the corpus
- Causal Evidence for the Role of Neuronal Oscillations in Top-Down and Bottom-Up Attention (2019, unknown): “…A uthor M anuscript A uthor M anuscript A uthor M anuscript fields in sPCS and IPS are lateralized to represent the contralateral visual field (Silver & Kastner, 2009), we predicted that high-intensity gamma frequency TMS would lead to a contralateral response bias and high-intensity beta…”
- Hierarchical consciousness: the Nested Observer Windows model (2024, background): “Investigators should compare coupling strength within versus between retinotopic maps in primary, secondary, and tertiary visual cortex (Silver and Kastner 2009).”
- Visual field map size constrains working memory precision (2026, unknown): “…highly overlaps with a functionally defined area of superior IPS that tracks working memory capacity, and has strong saccade-related activity, making it a good candidate for a substrate of working memory storage as well as control (Bettencourt & Xu, 2016b; Silver & Kastner, 2009; Xu, 2018).”
- Rhythmic beta-frequency TMS over human right parietal cortex strengthens visual size illusions (2025, unknown): “The parietal and occipital cortex are naturally connected to allow for transmission of top-down attention signals (Silver & Kastner, 2009), and parietal transcranial magnetic stimulation (TMS) can increase neural activity in the early visual areas (Blankenburg et al., 2010; Koivisto et al., 2017;…”
- Intracranial Recordings Demonstrate Both Cortical and Medial Temporal Lobe Engagement in Visual Search in Humans (2021, background): “There are multiple kinds of attention (Chun, Golomb, & Turk-Browne, 2011), and the time scale over which each attentional process operates is essential for interpreting such results (Slama & Helfrich, 2017).”