3 papers
q-bio.NC2025
Targeted perturbations reveal brain-like local coding axes in robustified, but not standard, ANN-based brain models
Nikolas McNeal, N. Apurva Ratan Murty
Artificial neural networks (ANNs) have become the de facto standard for modeling the human visual system, primarily due to their success in predicting neural responses. However, wi…
cs.SD2022
Relating Human Perception of Musicality to Prediction in a Predictive Coding Model
Nikolas McNeal, Jennifer Huang, Aniekan Umoren +4
We explore the use of a neural network inspired by predictive coding for modeling human music perception. This network was developed based on the computational neuroscience theory…
cs.CL2022
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
Bernal Jiménez Gutiérrez, Nikolas McNeal, Clay Washington +4
The strong few-shot in-context learning capability of large pre-trained language models (PLMs) such as GPT-3 is highly appealing for application domains such as biomedicine, which…