97 citations · 228 across the 5 of their papers we have counts for
5 papers
On the role of theory and modeling in neuroscience
Daniel Levenstein, Veronica A. Alvarez, Asohan Amarasingham +17
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth…
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules
Benjamin Sanchez-Lengeling, Jennifer N. Wei, Brian K. Lee +3
Predicting the relationship between a molecule's structure and its odor remains a difficult, decades-old task. This problem, termed quantitative structure-odor relationship (QSOR)…
Requirements for storing electrophysiology data
Jeff Teeters, Jan Benda, Andrew Davison +17
The purpose of this document is to specify the basic data types required for storing electrophysiology and optical imaging data to facilitate computer-based neuroscience studies an…
Unit Testing, Model Validation, and Biological Simulation
Gopal P. Sarma, Travis W. Jacobs, Mark D. Watts +3
The growth of the software industry has gone hand in hand with the development of tools and cultural practices for ensuring the reliability of complex pieces of software. These too…
Humans can discriminate trillions of olfactory stimuli, or more, or fewer
Richard C. Gerkin, Jason B. Castro
A recent Science paper (Bushdid et al, 2014)[1] proposed that humans can discriminate between at least a trillion olfactory stimuli. Here we show that this claim is the result of a…