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 …

The new field of" Computational Ethology" is made possible by advances in technology,
mathematics, and engineering that allow scientists to automate the measurement and the …

INTRODUCTION In the absence of sensory inputs, the brain produces structured patterns of
activity, which can be as large as or larger than sensory-driven activity. Ongoing activity …

Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …

Understanding how genes, drugs and neural circuits influence behavior requires the ability
to effectively organize information about similarities and differences within complex …

In 2002, the UCR time series classification archive was first released with sixteen datasets. It
gradually expanded, until 2015 when it increased in size from 45 datasets to 85 datasets. In …

Efforts are ongoing to map synaptic wiring diagrams, or connectomes, to understand the
neural basis of brain function. However, chemical synapses represent only one type of …

Recently, two ideas have been explored that lead to more accurate algorithms for time-
series classification (TSC). First, it has been shown that the simplest way to gain …

Recent studies on the controllability of complex systems offer a powerful mathematical
framework to systematically explore the structure–function relationship in biological, social …

The behavior of individuals determines the strength and outcome of ecological interactions,
which drive population, community, and ecosystem organization. Bio-logging, such as …