Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
N Padmanabhan, M Gwilliam… - Proceedings of the …, 2024 - openaccess.thecvf.com
The many variations of Implicit Neural Representations (INRs) where a neural network is
trained as a continuous representation of a signal have tremendous practical utility for …
trained as a continuous representation of a signal have tremendous practical utility for …
Complexity-Theoretic Limits on the Promises of Artificial Neural Network Reverse-Engineering
Emerging folklore in the cognitive sciences suggests that interpretability techniques to
reverse-engineer artificial neural networks (ANNs) could speed up discovery and theory …
reverse-engineer artificial neural networks (ANNs) could speed up discovery and theory …
Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network
Estimating intracranial current sources underlying the electromagnetic signals observed
from extracranial sensors is a perennial challenge in non-invasive neuroimaging …
from extracranial sensors is a perennial challenge in non-invasive neuroimaging …
Desiderata of evidence for representation in neuroscience
This paper develops a systematic framework for the evidence neuroscientists use to
establish whether a neural response represents a feature. Researchers try to establish that …
establish whether a neural response represents a feature. Researchers try to establish that …