Computational abilities of the biological olfactory systems are often superior to the ones
offered by the engineering pattern recognition techniques. However, the computational …

How the structure of a network shapes its function is a fundamental question in
computational neuroscience. For a given network of neurons and sensory stimuli, it is …

The behavior of the olfactory bulb is modeled as a network of interconnected cells with
nonlinear dynamics. External inputs from sensory neurons are introduced as perturbations …

Odor representations are initially formed in the olfactory bulb, which contains a topographic
glomerular map of odor molecular features. The bulb transmits sensory information directly …

In order to understand how olfactory stimuli are encoded and processed in the brain, it is
important to build a computational model for olfactory receptor neurons (ORNs). Here, we …

The olfactory bulb (OB) is a small, self-contained system that is pivotally involved in
generating the sense of the smell. Large-scale models of the olfactory bulb reconstruct …

In the mammalian olfactory bulb (OB), gamma oscillations in the local field potential are
generated endogenously during odor sampling. Such oscillations arise from dynamical …

Olfactory sensory neurons extend their axons solely to the olfactory bulb, which is dedicated
to odor information processing. The olfactory bulb is divided into multiple layers, with …

In order to study the problem how the olfactory neural system processes the odorant
molecular information for constructing the olfactory image of each object, we present a …

We show in a model of spiking neurons that synaptic plasticity in the mushroom bodies in
combination with the general fan-in, fan-out properties of the early processing layers of the …