Brian 2 allows scientists to simply and efficiently simulate spiking neural network models.
These models can feature novel dynamical equations, their interactions with the …

For the past seven decades, the Hodgkin–Huxley (HH) formalism has been an invaluable
tool in the arsenal of neuroscientists, allowing for robust and reproducible modelling of ionic …

Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of
underlying causes. However, determining which model parameters agree with complex and …

Degeneracy, defined as the ability of structurally disparate elements to perform analogous
function, has largely been assessed from the perspective of maintaining robustness of …

This is a book about 'Neurodynamics'. What we mean is that this is a book about how ideas
from dynamical systems theory have been developed and employed in recent years to give …

Perceptual decisions require the accumulation of sensory information to a response
criterion. Most accounts of how the brain performs this process of temporal integration have …

Highlights•Neurons express degenerate sets of ion channels that overlap functionally.•
Coregulation of degenerate channels enables circuit properties to be tightly tuned without …

Dendrites shape information flow in neurons. Yet, there is little consensus on the level of
spatial complexity at which they operate. Through carefully chosen parameter fits, solvable …

The hippocampus is a widely studied brain region thought to play an important role in higher
cognitive functions such as learning, memory, and navigation. The amount of data on this …

Background Whole-cell patch-clamp electrophysiology is an essential technique for
understanding how single neurons translate their diverse inputs into a functional output. The …