Modeling Object Recognition in Newborn Chicks using Deep Neural Networks

06/14/2021
by   Donsuk Lee, et al.
9

In recent years, the brain and cognitive sciences have made great strides developing a mechanistic understanding of object recognition in mature brains. Despite this progress, fundamental questions remain about the origins and computational foundations of object recognition. What learning algorithms underlie object recognition in newborn brains? Since newborn animals learn largely through unsupervised learning, we explored whether unsupervised learning algorithms can be used to predict the view-invariant object recognition behavior of newborn chicks. Specifically, we used feature representations derived from unsupervised deep neural networks (DNNs) as inputs to cognitive models of categorization. We show that features derived from unsupervised DNNs make competitive predictions about chick behavior compared to supervised features. More generally, we argue that linking controlled-rearing studies to image-computable DNN models opens new experimental avenues for studying the origins and computational basis of object recognition in newborn animals.

READ FULL TEXT

page 1

page 4

research
05/26/2023

Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?

Deep neural networks (DNNs) are machine learning algorithms that have re...
research
11/08/2022

Harmonizing the object recognition strategies of deep neural networks with humans

The many successes of deep neural networks (DNNs) over the past decade h...
research
05/15/2021

Brain Inspired Object Recognition System

This paper presents a new proposal of an efficient computational model o...
research
05/02/2020

A neural network walks into a lab: towards using deep nets as models for human behavior

What might sound like the beginning of a joke has become an attractive p...
research
12/04/2022

Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks

Adversarial attacks can easily fool object recognition systems based on ...
research
01/09/2019

Deep Learning for Human Affect Recognition: Insights and New Developments

Automatic human affect recognition is a key step towards more natural hu...
research
12/08/2020

The Lottery Ticket Hypothesis for Object Recognition

Recognition tasks, such as object recognition and keypoint estimation, h...

Please sign up or login with your details

Forgot password? Click here to reset