An integrative computational architecture for object-driven cortex.

An integrative computational architecture for object-driven cortex. Curr Opin Neurobiol. 2019 Feb 27;55:73-81 Authors: Yildirim I, Wu J, Kanwisher N, Tenenbaum J Abstract Computational architecture for object-driven cortex Objects in motion activate multiple cortical regions in every lobe of the human brain. Do these regions represent a collection of independent systems, or is there an overarching functional architecture spanning all of object-driven cortex? Inspired by recent work in artificial intelligence (AI), machine learning, and cognitive science, we consider the hypothesis that these regions can be understood as a coherent network implementing an integrative computational system that unifies the functions needed to perceive, predict, reason about, and plan with physical objects-as in the paradigmatic case of using or making tools. Our proposal draws on a modeling framework that combines multiple AI methods, including causal generative models, hybrid symbolic-continuous planning algorithms, and neural recognition networks, with object-centric, physics-based representations. We review evidence relating specific components of our proposal to the specific regions that comprise object-driven cortex, and lay out future research directions with the goal of building a complete functional and mechanistic account of this system. PMID: 30825704 [PubMed - as supplied by publisher]
Source: Current Opinion in Neurobiology - Category: Neurology Authors: Tags: Curr Opin Neurobiol Source Type: research