Computational neuroethology: a call to action
The brain is worthy of study because it is in charge of behavior. A flurry of recent technical
advances in measuring and quantifying naturalistic behaviors provide an important …
advances in measuring and quantifying naturalistic behaviors provide an important …
Habituation is more than learning to ignore: multiple mechanisms serve to facilitate shifts in behavioral strategy
Recent work indicates that there are distinct response habituation mechanisms that can be
recruited by different stimulation rates and that can underlie different components (eg, the …
recruited by different stimulation rates and that can underlie different components (eg, the …
B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors
Studying naturalistic animal behavior remains a difficult objective. Recent machine learning
advances have enabled limb localization; however, extracting behaviors requires …
advances have enabled limb localization; however, extracting behaviors requires …
Unsupervised identification of the internal states that shape natural behavior
Internal states shape stimulus responses and decision-making, but we lack methods to
identify them. To address this gap, we developed an unsupervised method to identify …
identify them. To address this gap, we developed an unsupervised method to identify …
Climbing fibers provide essential instructive signals for associative learning
Supervised learning depends on instructive signals that shape the output of neural circuits to
support learned changes in behavior. Climbing fiber (CF) inputs to the cerebellar cortex …
support learned changes in behavior. Climbing fiber (CF) inputs to the cerebellar cortex …
A hierarchical 3D-motion learning framework for animal spontaneous behavior map**
Animal behavior usually has a hierarchical structure and dynamics. Therefore, to understand
how the neural system coordinates with behaviors, neuroscientists need a quantitative …
how the neural system coordinates with behaviors, neuroscientists need a quantitative …
Hierarchical recurrent state space models reveal discrete and continuous dynamics of neural activity in C. elegans
Modern recording techniques enable large-scale measurements of neural activity in a
variety of model organisms. The dynamics of neural activity shed light on how organisms …
variety of model organisms. The dynamics of neural activity shed light on how organisms …
Adaptive, locally linear models of complex dynamics
The dynamics of complex systems generally include high-dimensional, nonstationary, and
nonlinear behavior, all of which pose fundamental challenges to quantitative understanding …
nonlinear behavior, all of which pose fundamental challenges to quantitative understanding …
Decoding locomotion from population neural activity in moving C. elegans
We investigated the neural representation of locomotion in the nematode C. elegans by
recording population calcium activity during movement. We report that population activity …
recording population calcium activity during movement. We report that population activity …
Brain-wide representations of ongoing behavior: a universal principle?
HS Kaplan, M Zimmer - Current opinion in neurobiology, 2020 - Elsevier
Highlights•A large fraction of the brain's instantaneous activity in worms, flies, and mice
represents the animal's ongoing behavior.•Brain-wide behavioral representations are multi …
represents the animal's ongoing behavior.•Brain-wide behavioral representations are multi …