Topic: frontal eye field

Decisions about where to move the eyes depend on neurons in frontal eye field (FEF). Movement neurons in FEF accumulate salience evidence derived from FEF visual neurons to select the location of a saccade target among distractors. How visual neurons achieve this salience representation is unknown. We present a neuro-computational model of target selection called Salience by Competitive and Recurrent Interactions (SCRI), based on the competitive interaction model of attentional selection and decision-making (Smith & Sewell, 2013). SCRI selects targets by synthesizing localization and identific

Decision-making in noisy environments with constant sensory evidence involves integrating sequentially-sampled evidence, a strategy formalized by diffusion models which is supported by decades behavioral and neural findings. By contrast, it is unknown whether this strategy is also used during decision-making when the underlying sensory evidence is expected to change. Here, we trained monkeys to identify the dominant color of a dynamically refreshed checkerboard pattern that doesn't become informative until after a variable delay. Animals' behavioral responses were briefly suppressed after an a

Detecting a specific object in a visual scene is a task that the human visual system performs every day. To perform this target-specific object detection, it is necessary to filter out all unwanted objects during the processing, so that only the specific object can be detected. For this purpose, attention-related mechanisms along the visual pathway have been proposed to allow focusing on the desired object. Beuth and Hamker (2015) [1], using a biologically inspired recurrent model simulating lower and higher layers of the visual cortex, the frontal eye field, and the prefrontal cortex, showed