Position: Maximizing neural regression scores may not identify good models of the brain
A prominent methodology in computational neuroscience posits that the brain can be
understood by identifying which artificial neural network models most accurately predict …
understood by identifying which artificial neural network models most accurately predict …
What Are Large Language Models Map** 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 …
Towards a path dependent account of category fluency
Category fluency is a widely studied cognitive phenomenon, yet two conflicting accounts
have been proposed as the underlying retrieval mechanism--an optimal foraging process …
have been proposed as the underlying retrieval mechanism--an optimal foraging process …