Deep problems with neural network models of human vision
Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …
photographic images of objects and are often described as the best models of biological …
Reclaiming AI as a theoretical tool for cognitive science
The idea that human cognition is, or can be understood as, a form of computation is a useful
conceptual tool for cognitive science. It was a foundational assumption during the birth of …
conceptual tool for cognitive science. It was a foundational assumption during the birth of …
Visual cognition in multimodal large language models
A chief goal of artificial intelligence is to build machines that think like people. Yet it has
been argued that deep neural network architectures fail to accomplish this. Researchers …
been argued that deep neural network architectures fail to accomplish this. Researchers …
From empirical problem-solving to theoretical problem-finding perspectives on the cognitive sciences
Meta-theoretical perspectives on the research problems and activities of (cognitive)
scientists often emphasize empirical problems and problem-solving as the main aspects that …
scientists often emphasize empirical problems and problem-solving as the main aspects that …
Have we built machines that think like people?
LMS Buschoff, E Akata, M Bethge, E Schulz - ar** to in the Brain? A Case Against Over-Reliance on Brain Scores
Given the remarkable capabilities of large language models (LLMs), there has been a
growing interest in evaluating their similarity to the human brain. One approach towards …
growing interest in evaluating their similarity to the human brain. One approach towards …
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach
Achieving visual reasoning is a long-term goal of artificial intelligence. In the last decade,
several studies have applied deep neural networks (DNNs) to the task of learning visual …
several studies have applied deep neural networks (DNNs) to the task of learning visual …