Dr Rakesh Sengupta, Assistant Professor, Psychology, SIAS, has authored an article titled Modeling Visual Working Memory Using Recurrent On‑Center Off‑Surround Neural Network with Distance‑Dependent Inhibition and it has been published in Scientific Reports (Nature). In this work, the author introduces a hierarchical model of visual working memory (VWM) that mimics the architectural and dynamic complexity of the visual system.The network combines top-down feedback, recurrent on-center/off-surround dynamics, and distance-dependent inhibition to simulate how feature specificity evolves—from coarse object-level representation all the way down to detailed feature encoding.
