TY  - BOOK
AB  - Olfactory stimuli are represented in a high-
dimensional space by neural networks of the olfactory system.
A great deal of research in olfaction has focused on this
representation within the first processing stage, the olfactory bulb
(vertebrates) or antennal lobe (insects) glomeruli. In particular
the mapping of chemical stimuli onto olfactory glomeruli and
the relation of this mapping to perceptual qualities have been
investigated. While a number of studies have illustrated the
importance of inhibitory networks within the olfactory bulb or
the antennal lobe for the shaping and processing of olfactory
information, it is not clear how exactly these inhibitory networks
are organized to provide filtering and contrast enhancement
capabilities. In this work the aim is to study the topology
of the proposed networks by using software simulations and
hardware implementation. While we can study the dependence
of the activity on each parameter of the theoretical models
with the simulations, it is important to understand whether the
models can be used in robotic applications for real-time odor
recognition. We present the results of a linear simulation, a
spiking simulation with I&F neurons and a real-time hardware
emulation using neuromorphic VLSI chips. We used an input
data set of neurophysiological recordings from olfactory receptive
neurons of insects, especially Drosophila.
DA  - 2010
DO  - 10.1109/BIOCAS.2010.5709623
LA  - eng
PY  - 2010
SN  - 978-1-4244-7269-7
TI  - Exploring Olfactory Sensory Networks: Simulations and Hardware Emulation
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-24276610
Y2  - 2024-11-22T02:29:23
ER  -