Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …

To understand complex biological systems requires the integration of experimental and
computational research—in other words a systems biology approach. Computational …

Neuron modeling may be said to have originated with the Hodgkin and Huxley action
potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over …

With growing populations and pressing environmental problems, future economies will be
increasingly plant-based. Now is the time to reimagine plant science as a critical component …

Volumetric functional imaging is widely used for recording neuron activities in vivo, but there
exist tradeoffs between the quality of the extracted calcium traces, imaging speed, and laser …

The adoption of powerful software tools and computational methods from the software
industry by the scientific research community has resulted in a renewed interest in …

Scientific models are abstractions that aim to explain natural phenomena. A successful
model shows how a complex phenomenon arises from relatively simple principles while …

There are easier things to make than a brain. Driven by the promise and resources of
biomedical research, developmental neurobiologists are trying to understand how it is done …

Computational models are powerful tools for exploring the properties of complex biological
systems. In neuroscience, data-driven models of neural circuits that span multiple scales are …

Measuring the activity of neuronal populations with calcium imaging can capture emergent
functional properties of neuronal circuits with single cell resolution. However, the motion of …