2003/10/23 by Mark Mazurek, Jamie D. Roitman, Jochen Ditterich +1 · 648 citations
Neuroscience · Psychology · #Visual perception and processing mechanisms #Neural dynamics and brain function #Neurobiology and Insect Physiology Research #Neuroscience #Sensory system #Visual cortex #Perception #Posterior parietal cortex #Extrastriate cortex #Psychology #Parietal lobe #Association (psychology) #Motion perception #Decision process #Temporal lobe #Computer science #Superior temporal sulcus #Process (computing) #Cortex (anatomy) #Cognitive psychology
paper · doi:10.1093/cercor/bhg097
published in Cerebral Cortex 13(11), 1257-1269 (Oxford University Press)
openalex publication_date 2003/10/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Decisions based on uncertain information may benefit from an accumulation of information over time. We asked whether such an accumulation process may underlie decisions about the direction of motion in a random dot kinetogram. To address this question we developed a computational model of the decision process using ensembles of neurons whose spiking activity mimics neurons recorded in the extrastriate visual cortex (area MT or V5) and a sensorimotor association area of the parietal lobe (area LIP). The model instantiates the hypothesis that neurons in sensorimotor association areas compute the time integral of sensory signals from the visual cortex, construed as evidence for or against a proposition, and that the decision is made when the integrated evidence reaches a threshold. The model explains a variety of behavioral and physiological measurements obtained from monkeys.