biostudies-literatureUnknown3(3)Abedi Khoozani PAllocentric (landmark-centered) and egocentric (eye-centered) visual codes are fundamental for spatial cognition, navigation, and goal-directed movement. Neuroimaging and neurophysiology suggest these codes are initially segregated, but then reintegrated in frontal cortex for movement control. We created and validated a theoretical framework for this process using physiologically constrained inputs and outputs. To implement a general framework, we integrated a convolutional neural network (CNN) of the visual system with a multilayer perceptron (MLP) model of the sensorimotor transformation. The network was trained on a task where a landmark shifted relative to the saccade target. These visual parameters were input to the CNN, the CNN output and initial gaze position to the MLP, and a decodCerebral cortex communicationstgac026https://www.ebi.ac.uk/biostudies/studies/S-EPMC9334293biostudies-literatureIntegration of allocentric and egocentric visual information in a convolutional/multilayer perceptron network model of goal-directed gaze shifts.PMC9334293Wildes RPCrawford JDBharmauria VAbedi Khoozani PSchutz AfalseIntegration of allocentric and egocentric visual information in a convolutional/multilayer perceptron network model of goal-directed gaze shifts.Allocentric (landmark-centered) and egocentric (eye-centered) visual codes are fundamental for spatial cognition, navigation, and goal-directed movement. Neuroimaging and neurophysiology suggest these codes are initially segregated, but then reintegrated in frontal cortex for movement control. We created and validated a theoretical framework for this process using physiologically constrained inputs and outputs. To implement a general framework, we integrated a convolutional neural network (CNN) of the visual system with a multilayer perceptron (MLP) model of the sensorimotor transformation. The network was trained on a task where a landmark shifted relative to the saccade target. These visual parameters were input to the CNN, the CNN output and initial gaze position to the MLP, and a decod2022-01-01T00:00:00Z20222025-04-26T16:17:35.675Z2025-04-06T15:08:08.104ZS-EPMC93342933590970410.1093/texcom/tgac026