A 4-dimensional representation of antennal lobe output based on an ensemble of characterized projection neurons

Autor: Wolf Huetteroth, Joachim Schachtner, Kevin C. Daly, Erich M. Staudacher
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Male
Olfactory system
Manduca sexta L
Identified glomerul
Population
Neurophysiology
Moth
Sensory system
Olfaction
Biology
Brain mapping
Article
03 medical and health sciences
0302 clinical medicine
Species Specificity
ddc:570
Manduca
Image Processing
Computer-Assisted

medicine
Animals
Projection (set theory)
education
Spike time resolution
Fluorescent Dyes
030304 developmental biology
Neurons
Brain Mapping
0303 health sciences
education.field_of_study
Staining and Labeling
General Neuroscience
Brain
Signal Processing
Computer-Assisted

Intracellular recording and staining
Olfactory Pathways
Ganglia
Invertebrate

3-Dimensional reconstruction
Electrophysiology
Smell
medicine.anatomical_structure
Data Interpretation
Statistical

Antennal lobe
Neuroscience
Ensemble analysis
030217 neurology & neurosurgery
Popis: A central problem facing studies of neural encoding in sensory systems is how to accurately quantify the extent of spatial and temporal responses. In this study, we take advantage of the relatively simple and stereotypic neural architecture found in invertebrates. We combine standard electrophysiological techniques, recently developed population analysis techniques, and novel anatomical methods to form an innovative 4-dimensional view of odor output representations in the antennal lobe of the moth Manduca sexta. This novel approach allows quantification of olfactory responses of characterized neurons with spike time resolution. Additionally, arbitrary integration windows can be used for comparisons with other methods such as imaging. By assigning statistical significance to changes in neuronal firing, this method can visualize activity across the entire antennal lobe. The resulting 4-dimensional representation of antennal lobe output complements imaging and multi-unit experiments yet provides a more comprehensive and accurate view of glomerular activation patterns in spike time resolution.
Databáze: OpenAIRE