J. Feather

发表

Estimating the reproducibility of psychological science

Michael C. Frank, Michèle B. Nuijten, Maya B. Mathur, 2015, Science.

Intracranial recordings from human auditory cortex reveal a neural population selective for song

Nancy Kanwisher, Gerwin Schalk, Peter Brunner, 2019, bioRxiv.

Model metamers illuminate divergences between biological and artificial neural networks

Josh H. McDermott, A. Madry, J. Feather, 2022, bioRxiv.

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception pdf

James J. DiCarlo, David D. Cox, Josh H. McDermott, 2021, NeurIPS.

Many but not all deep neural network audio models capture brain responses and exhibit hierarchical region correspondence

Josh H. McDermott, J. Feather, Dana Boebinger, 2022 .

Auditory texture synthesis from task-optimized convolutional neural networks

Josh H. McDermott, Jenelle Feather, J. Feather, 2018 .

A neural population selective for song in human auditory cortex

Josh H. McDermott, Sam V. Norman-Haignere, N. Kanwisher, 2022, Current Biology.

Connectivity precedes function in the development of the visual word form area

Nancy Kanwisher, John D. E. Gabrieli, Zeynep M. Saygin, 2016, Nature Neuroscience.

Metamers of neural networks reveal divergence from human perceptual systems

Josh H. McDermott, Jenelle Feather, Ray Gonzalez, 2019, NeurIPS.

Representational similarity precedes category selectivity in the developing ventral visual pathway

Daniel D. Dilks, Nancy Kanwisher, Lawrence L. Wald, 2019, NeuroImage.

Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions

Josh H. McDermott, J. Feather, Dana Boebinger, 2023, bioRxiv.

Model metamers illuminate divergences between biological and artificial neural networks

Josh H. McDermott, A. Madry, J. Feather, 2023, bioRxiv.

Untangling in Invariant Speech Recognition

Hanlin Tang, Cory Stephenson, Josh H. McDermott, 2020, NeurIPS.

Unveiling the benefits of multitasking in disentangled representation formation

J. Feather, SueYeon Chung, 2023, Trends in Cognitive Sciences.

Probing emergent geometry in speech models via replica theory

Hanlin Tang, Cory Stephenson, Josh H. McDermott, 2019 .

Many but not All Deep Neural Network Audio Models Predict Auditory Cortex Responses and Exhibit Hierarchical Layer-Region Correspondence

Josh H. McDermott, J. Feather, Dana Boebinger, 2022, 2022 Conference on Cognitive Computational Neuroscience.

Estimating the reproducibility of psychological science

Michael C. Frank, Michèle B. Nuijten, Maya B. Mathur, 2015, Science.

Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions

Josh H. McDermott, J. Feather, Dana Boebinger, 2023, bioRxiv.

Deep Network Perceptual Losses for Speech Denoising pdf

Yang Zhang, Josh H. McDermott, Kaizhi Qian, 2020, ArXiv.

Representational similarity precedes category selectivity in the developing ventral visual pathway

Daniel D. Dilks, Alexander J. E. Kell, N. Kanwisher, 2019, NeuroImage.

Model metamers reveal divergent invariances between biological and artificial neural networks

J. Feather, Guillaume Leclerc, Aleksander Mądry, 2023, Nature Neuroscience.

A neural population selective for song in human auditory cortex

Josh H. McDermott, Sam V. Norman-Haignere, N. Kanwisher, 2022, Current Biology.

Common representational structures across the ventral visual pathway of children and adults

Daniel D. Dilks, Nancy Kanwisher, Sarah Weigelt, 2016 .

Speech Denoising with Auditory Models

Josh H. McDermott, Kaizhi Qian, Andrew Francl, 2020, Interspeech.

Measuring Material Properties With Pulsed NMR

J. Feather, P. Vachaspati, 2012 .