239 citations · 367 across the 9 of their papers we have counts for
10 papers
LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordinal Data
Vivek Anand, Alec Helbling, Mark A. Davenport +3
Learning the intrinsic dimensionality of subjective perceptual spaces such as taste, smell, or aesthetics from ordinal data is a challenging problem. We introduce LORE (Low Rank Or…
Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders
Josuan Calderon, Gordon J. Berman
Most approaches for assessing causality in complex dynamical systems fail when the interactions between variables are inherently non-linear and non-stationary. Here we introduce Te…
Measuring the repertoire of age-related behavioral changes in Drosophila melanogaster
Katherine E. Overman, Daniel M. Choi, Kawai Leung +2
Aging affects almost all aspects of an organism -- its morphology, its physiology, its behavior. Isolating which biological mechanisms are regulating these changes, however, has pr…
Exploring a strongly non-Markovian animal behavior
Vasyl Alba, Gordon J. Berman, William Bialek +1
A freely walking fly visits roughly 100 stereotyped states in a strongly non-Markovian sequence. To explore these dynamics, we develop a generalization of the information bottlenec…
A framework for studying behavioral evolution by reconstructing ancestral repertoires
Damián G. Hernández, Catalina Rivera, Jessica Cande +3
Although extensive behavioral changes often exist between closely related animal species, our understanding of the genetic basis underlying the evolution of behavior has remained l…
Application of the hierarchical bootstrap to multi-level data in neuroscience
Varun Saravanan, Gordon J Berman, Samuel J Sober
A common feature in many neuroscience datasets is the presence of hierarchical data structures, most commonly recording the activity of multiple neurons in multiple animals across…
Measuring behavior across scales
Gordon J. Berman
The need for high-throughput, precise, and meaningful methods for measuring behavior has been amplified by our recent successes in measuring and manipulating neural circuitry. The…
An Unsupervised Method for Quantifying the Behavior of Interacting Individuals
Ugne Klibaite, Gordon J. Berman, Jessica Cande +2
Social behaviors involving the interaction of multiple individuals are complex and frequently crucial for an animal's survival. These interactions, ranging across sensory modalitie…
Predictability and hierarchy in Drosophila behavior
Gordon J. Berman, William Bialek, Joshua W. Shaevitz
Even the simplest of animals exhibit behavioral sequences with complex temporal dynamics. Prominent amongst the proposed organizing principles for these dynamics has been the idea…
Mapping the stereotyped behaviour of freely-moving fruit flies
Gordon J. Berman, Daniel M. Choi, William Bialek +1
Most animals possess the ability to actuate a vast diversity of movements, ostensibly constrained only by morphology and physics. In practice, however, a frequent assumption in beh…