scholarly journals Odor recognition without identification

2010 ◽  
Vol 38 (4) ◽  
pp. 452-460 ◽  
Author(s):  
Anne M. Cleary ◽  
Kristen E. Konkel ◽  
Jason S. Nomi ◽  
David P. McCabe
Keyword(s):  
Odor Recognition ◽  
Recognition Without Identification

A Whiff of Familiarity: Odor Recognition without Identification

2009 ◽  
Author(s):  
Kristen E. Konkel ◽  
Jason S. Nomi ◽  
Anne M. Cleary
Keyword(s):  
Odor Recognition ◽  
Recognition Without Identification

scholarly journals Stable Odor Recognition by a neuro-adaptive Electronic Nose

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Eugenio Martinelli ◽  
Gabriele Magna ◽  
Davide Polese ◽  
Alexander Vergara ◽  
Detlev Schild ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Odor Recognition

Age of acquisition effects in recognition without identification tasks.

2021 ◽  
Author(s):  
Jon Catling ◽  
Carly Pymont ◽  
Robert Johnston ◽  
Mahmoud Medhat Elsherif ◽  
Rebecca Clark ◽  
...  
Keyword(s):  
Neural Network ◽  
Age Of Acquisition ◽  
Study Phase ◽  
Semantic Representations ◽  
Pictorial Stimuli ◽  
Gradual Development ◽  
Recognition Without Identification

The Age of Acquisition (AoA) effect results in early-acquired words being processed more quickly and accurately than later-acquired words. This effect is argued to result from a gradual development of semantic representations and a changing neural network throughout development (Chang et al., 2019). Some forms of the Recognition Without Identification (RWI) effects have been observed at a perceptual level. The present study used the RWI paradigm to examine whether the AoA effect is located at the perceptual loci. A total of 174 participants were presented a list of pictures (Experiment 1) or words (Experiment 2) followed by a list of mixed early- and late-acquired picture or word fragments that participants had to identify; half of which corresponded to studied words and half of which to unstudied words. Irrespective of whether the item was identified, participants then rated the likelihood that the item appeared in the study phase. In both experiments, results showed that studied items were recognised more accurately than unstudied items, even when they could not be identified and late-acquired items were recognised more than early-acquired items, even when they were not identified. Finally, RWI interacted with the AoA effect only in pictorial stimuli, indicating that the RWI and AoA effects are located at the perceptual level.

Coherent network oscillations by olfactory interneurons: modulation by endogenous amines

1993 ◽  
Vol 69 (6) ◽  
pp. 1930-1939 ◽  
Author(s):  
A. Gelperin ◽  
L. D. Rhines ◽  
J. Flores ◽  
D. W. Tank
Keyword(s):  
Second Messengers ◽  
Field Potential ◽  
Learning Ability ◽  
Odor Recognition ◽  
Axonal Projections ◽  
Odor Learning ◽  
Olfactory Systems ◽  
Olfactory Interneurons ◽  
Limax Maximus ◽  
Local Field Potential Lfp

1. The procerebral (PC) lobe of the terrestrial mollusk Limax maximus contains a highly interconnected network of local olfactory interneurons that receives direct axonal projections from the two pairs of noses. This olfactory processing network generates a 0.7-Hz oscillation in its local field potential (LFP) that is coherent throughout the network. The oscillating LFP is modulated by natural odorants applied to the neuroepithelium of the superior nose. 2. Two amines known to be present in the PC lobe, dopamine and serotonin, increase the frequency of the PC lobe oscillation and alter its waveform. 3. Glutamate, another putative neurotransmitter known to be present in the lobe, suppresses the PC lobe oscillation by a quisqualate-type receptor and appears to be used by one of the two classes of neurons in the PC lobe to generate the basic LFP oscillation. 4. The known activation of second messengers in Limax PC lobe by dopamine and serotonin together with their effects on the oscillatory rhythm suggest the hypothesis that these amines augment mechanisms mediating synaptic plasticity in the olfactory network, similar to hypothesized effects of amines in vertebrate olfactory systems. 5. The use of a distributed network of interneurons showing coherent oscillations may relate to the highly developed odor recognition and odor learning ability of Limax.

Odor recognition in robotics applications by discriminative time-series modeling

2015 ◽  
Vol 19 (1) ◽  
pp. 207-220 ◽  
Author(s):  
Frank-Michael Schleif ◽  
Barbara Hammer ◽  
Javier Gonzalez Monroy ◽  
Javier Gonzalez Jimenez ◽  
Jose-Luis Blanco-Claraco ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Modeling ◽  
Odor Recognition

SAW Sensor’s Frequency Shift Characterization for Odor Recognition and Concentration Estimation

2017 ◽  
Vol 17 (21) ◽  
pp. 7011-7018 ◽  
Author(s):  
Olivier Hotel ◽  
Jean-Philippe Poli ◽  
Christine Mer-Calfati ◽  
Emmanuel Scorsone ◽  
Samuel Saada
Keyword(s):  
Frequency Shift ◽  
Odor Recognition ◽  
Concentration Estimation
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