The brainstem control of saccadic eye movements
By D. Sparks. Nature Reviews Neuroscience, 2002
850 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Neurology, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/85034eb3bc0e17dcb5282057dd82b2b93edea96e
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
- Xiao-Jing Wang
- Michael N. Shadlen
- Thomas V. Wiecki
- Peter S. Dayan
- Reinhold Kliegl
- Antje Nuthmann
- Laurent Itti
- Joshua I. Gold
In Neurology
- Thomas V. Wiecki
- Xiao-Jing Wang
- Sten Grillner
- Michael N. Shadlen
- Michael J Frank
- Stephen H. Scott
- Joshua I. Gold
- Chung-Chuan Lo
In Human-Computer Interaction
- Antje Nuthmann
- Reinhold Kliegl
- Ralf Engbert
- Xiao-Jing Wang
- Sten Grillner
- Michael N. Shadlen
- Michael J Frank
- Stephen H. Scott
Citations in the corpus
- Biological pattern generation: the cellular and computational logic of networks in motion. (2006, background): “This representation is located in the superior colliculus (tectum) (see Isa, 2002; Sparks, 2002), and a brief intense burst of activity in different locations within the collicular map re-leases a saccadic eye movement in a given direction and amplitude.”
- SWIFT: a dynamical model of saccade generation during reading. (2005, background): “Second, processes of word recognition are much slower than the fast brainstem saccade generator (e.g., Sparks, 2002).”
- A computational model of inhibitory control in frontal cortex and basal ganglia. (2011, background): “The input layer projects directly to the cortical response units in the frontal eye fields (FEF) which implements action planning and monitoring and projects to the superior colliculus (SC), which acts as an output for saccade generation (Sparks, 2002).”
- The motor infrastructure: from ion channels to neuronal networks (2003, background): “This structure contains a topological map, and the location of activity within each microregion determines the specific direction and amplitude of the saccad”
- Automatic foveation for video compression using a neurobiological model of visual attention (2004, background): “The dynamics of the virtual foveas do not attempt to emulate human saccadic (rapid ballistic) eye movements [65], as those rapid and often jerky motions would create highly visible artifacts in the compressed streams.”
- Cortico–basal ganglia circuit mechanism for a decision threshold in reaction time tasks (2006, background): “Indeed, burst neurons in the intermediate layer of the superior colliculus receive inputs from many cortical areas, including the parietal cortex, and project to midbrain neurons responsible for the generation of saccadic eye movement”
- Optimal feedback control and the neural basis of volitional motor control (2004, background): “The oculomotor field has identified in detail many features of the motor circuitry that is involved in eye and gaze contro”
- The role of fixational eye movements in visual perception (2004, background): “that microsaccades and large saccades might be generated by the same mechanisms (that is, by circuits leading to saccade-related burst neurons in the superior colliculu”
- Realistic avatar eye and head animation using a neurobiological model of visual attention (2004, background): “Motion: n(c,s,θ ) = |Rn(c,θ ) Rn(s,θ )| (7)”
- The neural basis of decision making. (2007, background): “Motor latencies for these tasks average ∼200 ms but can range from ∼90 ms to >400 ms (Carpenter 1988, Sparks 2002, a b c Threshold ST Start level S0 Rate of rise (r) inf P er ce n t cu m u la ti ve fr eq u en cy Infinite-time intercept Median Reaction time (ms) 50 10 95 5 100 200 500 1000 90 S 0 μ…”