1994 Special Issue: A fast dynamic link matching algorithm for invariant pattern recognition
Neural Networks - Special issue: models of neurodynamics and behavior
1994 Special Issue: Two-dimensional neural network model of the primate saccadic system
Neural Networks - Special issue: models of neurodynamics and behavior
Distributed model of control of saccades by superior colliculus and cerebellum
Neural Networks - Special issue on neural control and robotics: biology and technology
The magnitude of the fixation offset effect with endogenously and exogenously controlled saccades
Journal of Cognitive Neuroscience
A model of active visual search with object-based attention guiding scan paths
Neural Networks - 2004 Special issue Vision and brain
Multisensory Interaction in Saccadic Reaction Time: A Time-Window-of-Integration Model
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Saccadic Inhibition in Voluntary and Reflexive Saccades
Journal of Cognitive Neuroscience
The time course of saccadic decision making: dynamic field theory
Neural Networks - 2006 Special issue: Neurobiology of decision making
Modeling the Effects of Dopamine on the Antisaccade Reaction Times (aSRT) of Schizophrenia Patients
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Redundancy, self-motion, and motor control
Neural Computation
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
On the relationships between synaptic plasticity and generative systems
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Transmission of population-coded information
Neural Computation
Spatial interactions in the superior colliculus predict saccade behavior in a neural field model
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Template based black-box optimization of dynamic neural fields
Neural Networks
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Significant advances in cognitive neuroscience can be achieved by combining techniques used to measure behavior and brain activity with neural modeling. Here we apply this approach to the initiation of rapid eye movements (saccades), which are used to redirect the visual axis to targets of interest. It is well known that the superior colliculus (SC) in the midbrain plays a major role in generating saccadic eye movements, and physiological studies have provided important knowledge of the activity pattern of neurons in this structure. Based on the observation that the SC receives localized sensory (exogenous) and voluntary (endogenous) inputs, our model assumes that this information is integrated by dynamic competition across local collicular interactions. The model accounts well for the effects upon saccadic reaction time (SRT) due to removal of fixation, the presence of distractors, execution of pro- versus antisaccades, and variation in target probability, and suggests a possible mechanism for the generation of express saccades. In each of these cases, the activity patterns of "neurons" within the model closely resemble actual cell behavior in the intermediate layer of the SC. The interaction structure we employ is instrumental for producing a physiologically faithful model and results in new insights and hypotheses regarding the neural mechanisms underlying saccade initiation.