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.


On the Power of Shallow Learning
Jamie Simon, Sajant Anand, Mike DeWeese

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]


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

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]


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

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

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

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