We try to include links for all of our recent papers. Most links direct you to a journal’s site where that particular publication is available for download. If you cannot access one of our papers, let us know. For a more complete list, see Mike’s google scholar citations profile.


2021

On the Power of Shallow Learning
Jamie Simon, Sajant Anand, Mike DeWeese
[arXiv][code]

Engineered Swift Equilibration for Arbitrary Geometries
Adam Frim, Adrianne Zhong, Stephen Chen, Dibyendu Mandal, Mike R DeWeese
[PRE] [arXiv]

Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses
Charles Frye, Jamie Simon, Neha Wadia, Andrew Ligeralde, Mike DeWeese, Kris Bouchard
[Neural Computation]

2020

A Solution to the Fokker-Planck Equation for Slowly Driven Brownian Motion: Emergent Geometry and a Formula for the Corresponding Thermodynamic Metric
Neha Wadia, Ryan Zarcone, Mike DeWeese
[arXiv]

Efficient sensory coding of multidimensional stimuli
Thomas Yerxa, Eric Kee, Mike DeWeese, Emily Cooper
[PLOS Computational Biology]

Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise
Pratik Sachdeva, Jesse Livezy, Mike DeWeese
[Neural Computation]

2019

Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
Michele Insanally, Ioana Carcea, Rachel Field, Chris Rodgers, Brian DePasquale, Kanaka Rajan, Mike DeWeese, Badr Albanna, Robert Froemke
[eLife]

On the sparse structure of natural sounds and natural images: similarities, differences, and implications for neural coding
Eric Dodds, Mike DeWeese
[Frontiers in Computational Neuroscience]

Replay as wavefronts and theta sequences as bump oscillations in a grid cell attractor network
Louis Kang, Mike DeWeese
[eLife]

Design of optical neural networks with component imprecisions
Michael Fang, Sasikanth Manipatruni, Casimir Wierzynski, Amir Khosrowshahi, Mike DeWeese
[Optics Express]

Numerically recovering the critical points of a deep linear autoencoder
Charles Frye, Neha Wadia, Mike DeWeese, Kris Bouchard
[arXiv]

Spatial whitening in the retina may be necessary for V1 to learn a sparse representation of natural scenes
Eric Dodds, Jesse Livezey, Mike DeWeese
[bioRxiv]