◆◆◆ 第8回『Digital Brain Seminar』開催のご案内 ◆◆◆

Korea Advanced Institute of Science and Technology (KAIST)のDr. Se-Bum Paikに、人工と脳の両方のニューラルネットワークの認知機能の創発に関してご発表いただきます。

8th Seminar

Speaker：Se-Bum Paik (Korea Advanced Institute of Science and Technology)

Place: Zoom (Please find the zoom link by the registration)

Date：2025/1/7 15:00-16:30 (JST)

Title：Emergence of Cognitive Functions in Natural and Artificial Neural Networks

Abstract：How do the diverse functions of the brain originate? Understanding the developmental mechanisms that underlie brain functions is a fundamental question in neuroscience, with significant implications for research on artificial neural networks. This talk will introduce principles related to these developmental mechanisms, which differ notably from the data-driven learning paradigms predominantly used in AI. I will present our recent findings demonstrating that early functional circuits and cognitive functions in the brain can emerge spontaneously, even in the complete absence of training. Using a biologically inspired neural network model, I will first show how regularly structured functional maps can arise from simple local interactions between individual cells. I will discuss how evolutionary variations in physical parameters may lead to the development of distinct functional circuitry in the brain. Next, I will demonstrate that higher cognitive functions, such as visual quantity estimation and primitive object detection, can also emerge spontaneously in untrained neural networks. I will argue that random feedforward connections in early circuits may be sufficient to initiate functional circuits. These findings suggest that early visual functions can emerge from the statistical properties of bottom-up projections in hierarchical neural networks, providing insight into the origins of primitive functions in the brain.