Mathematical models are an important tool for neuroscientists. During the last 30 years
many papers have appeared on single neuron description and specifically on stochastic …

The reticular thalamic nucleus (RTN) of the mouse is characterized by an overwhelming
majority of GABAergic neurons receiving afferences from both the thalamus and the cerebral …

The inverse first-passage problem for a Wiener process (W_t)_t\geq0 seeks to determine a
function b: R_+→R such that τ=inft>0|W_t≧b(t) has a given law. In this paper two methods …

Statistical properties of spike trains as well as other neurophysiological data suggest a
number of mathematical models of neurons. These models range from entirely descriptive …

The spiking activity of mitral cells (MC) in the olfactory bulb is a key attribute in olfactory
sensory information processing to downstream cortical areas. A more detailed …

The Inverse First Passage time problem seeks to determine the boundary corresponding to
a given stochastic process and a fixed first passage time distribution. Here, we determine the …

Contributions to First Passage Time Problems of Brownian Motion Page 1 Contributions to
First Passage Time Problems of Brownian Motion Dissertation zur Erlangung des …

This study reports for the first time the extracellular activity recorded, in anesthetized rats,
from cells located in an identified cluster of parvalbumin (PV)-positive neurons of the lateral …

The inverse method of images is a relatively easy way to find approximate solutions to first-
passage time problems. We extend the method in several ways: We use a linear program …

Odor perception is the impetus for important animal behaviors, most pertinently for feeding,
but also for mating and communication. There are two predominate modes of odor …