Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Fernando Locatelli"'
Autor:
Ho Ka Chan, Fabian Hersperger, Emiliano Marachlian, Brian H Smith, Fernando Locatelli, Paul Szyszka, Thomas Nowotny
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 12, p e1006536 (2018)
In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixture
Externí odkaz:
https://doaj.org/article/157a52c3997c4d0485c81a6b192782a8
Publikováno v:
Cell and Tissue Research. 383:165-175
Honeybees are extensively used to study olfactory learning and memory processes thanks to their ability to discriminate and remember odors and because of their advantages for optophysiological recordings of the circuits involved in memory and odor pe
Autor:
Christopher M, Jernigan, Rachael, Halby, Richard C, Gerkin, Irina, Sinakevitch, Fernando, Locatelli, Brian H, Smith
Publikováno v:
J Exp Biol
Experience-dependent plasticity in the central nervous system allows an animal to adapt its responses to stimuli over different time scales. In this study, we explored the impacts of adult foraging experience on early olfactory processing by comparin
Autor:
Fernando Locatelli, Rachael Halby, Irina Sinakevitch, Brian H. Smith, Christopher M. Jernigan, Richard C. Gerkin
Publikováno v:
Journal of Experimental Biology.
Experience-dependent plasticity in the central nervous system allows an animal to adapt its responses to stimuli over different time scales. In this study we explored the impacts of adult foraging experience on early olfactory processing by comparing
Autor:
Fabian Hersperger, Emiliano Marachlian, Ho Ka Chan, Fernando Locatelli, Paul Szyszka, Thomas Nowotny, Brian H. Smith
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
PLoS Computational Biology
PLoS Computational Biology, Vol 14, Iss 12, p e1006536 (2018)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
PLoS Computational Biology
PLoS Computational Biology, Vol 14, Iss 12, p e1006536 (2018)
In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2509db8347c4112aa4d787c64128711a
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006536
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006536
Autor:
Fernando Locatelli, Emiliano Marachlian, Brian H. Smith, Collins Assisi, Ramon Huerta, Jen-Yung Chen, Maxim Bazhenov
Publikováno v:
The Journal of Neuroscience. 35:179-197
Honey bees have a rich repertoire of olfactory learning behaviors, and they therefore are an excellent model to study plasticity in olfactory circuits. Recent behavioral, physiological, and molecular evidence suggested that the antennal lobe, the fir
Publikováno v:
Proceedings of the National Academy of Sciences. 114
The neurobiology of learning and memory has been mainly studied by focusing on pure aversive or appetitive experiences. Here, we challenged this approach considering that real-life stimuli come normally associated with competing aversive and appetiti
Publikováno v:
Neurobiology of Learning and Memory. 106:230-237
Studies in vertebrates and invertebrates have proved the instructive role that different biogenic amines play in the neural representation of rewards and punishments during associative learning. Results from diverse arthropods and using different lea
Autor:
Fernando Locatelli, Julieta Sztarker, Francisco Javier Maza, Avishag Shkedy, Valeria Natacha Peszano, Alejandro Delorenzi
The hypothesis of a common origin for the high-order memory centers in bilateral animals is based on the evidence that several key features, including gene expression and neuronal network patterns, are shared across several phyla. Central to this hyp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::594d777d1bcd101ec1545b25b592a7f8
https://europepmc.org/articles/PMC5150377/
https://europepmc.org/articles/PMC5150377/