Accepted Papers


Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm Behaviour   (Best Paper)
Kezhi Li, Avelino Javer, Eric E. Keaveny and André E.X. Brown
[pdf]

Morphological Error Detection for Connectomics
David Rolnick, Yaron Meirovitch, Toufiq Parag, Hanspeter Pfister, Viren Jain, Jeff W. Lichtman, Edward S. Boyden and Nir Shavit
[pdf]

Worm-level Control through Search-based Reinforcement Learning
Mathias Lechner, Radu Grosu and Ramin M. Hasani
[pdf]

Quantifying the behavioral dynamics of C. Elegans with autoregressive hidden Markov models
E. Kelly Buchanan, Akiva Lipschitz, Scott Linderman and Liam Paninski
[pdf]

A Simplified Cell Network for the Simulation of C. elegans' Forward Crawling
David Lung, Stephen Larson, Andrey Palyanov, Sergey Khayrulin, Padraig Gleeson, Manuel Zimmer, Radu Grosu and Ramin M. Hasani
[pdf]

Toward Bayesian permutation inference for identifying neurons in C. elegans
Gonzalo Mena, Scott Linderman, David Belanger, Jasper Snoek, John Cunningham and Liam Paninski
[pdf]

Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording
Magdalena Fuchs, Manuel Zimmer, Radu Grosu and Ramin M. Hasani
[pdf]

A C.elegans inspired robotic model for pothole detection
John Lones, Netta Cohen and Anthony Cohn
[pdf]

Point-set registration framework with Conditional Random Fields for automatic tracking of neurons in C. elegans whole-brain videos
Shivesh Chaudhary and Hang Lu
[pdf]

Multi-neuronal imaging of C. elegans courtship and mating
Vivek Venkatachalam, Vladislav Susoy, Min Wu, Wesley Hung, Mei Zhen and Aravinthan Samuel
[pdf]

Analysis of Neuronal Circuits that Generate Behavioral Novelty
Andrew Gordus
[pdf]