Visualization using the immediate early gene Arc revealed sparser and more robust odor representations in the anterior piriform cortex of adult rats when odor was associated with water reward over 2-3 d. Rewarded odor "mixtures" resulted in rats responding to either component odor similarly, and, correspondingly, the odor representations became more similar as indexed by increased overlap in piriform Arc-expressing (Arc(+)) pyramidal neurons. The increased overlap was consistent with the rats' generalization from component odors. Discriminating among highly similar odor mixtures for reward led to increased differentiation of the neural representations as indexed by a reduction in overlap for piriform Arc(+) pyramidal neurons after training. Similar odor mixture discrimination also required more trials to criterion. The visible reduction in the overlap of odor representations indexes pattern separation. The Arc visualization of odor representations in the anterior piriform network suggests that odor objects are widely distributed representations and can be rapidly modified by reward training in adult rats. We suggest that dynamic changes such as those observed here in piriform odor encoding are at the heart of perceptual learning and reflect the continuing plastic nature of mature associative cortex as an outcome of successful problem solving.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6608274PMC
http://dx.doi.org/10.1523/JNEUROSCI.1942-14.2014DOI Listing

Publication Analysis

Top Keywords

odor representations
16
odor
12
anterior piriform
12
arc visualization
8
visualization odor
8
odor objects
8
piriform cortex
8
cortex adult
8
representations anterior
8
adult rats
8

Similar Publications

Effectively saltiness enhanced odorants screening and prediction by database establish, sensory evaluation and deep learning method.

Food Chem

December 2024

China Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; Food Laboratory of Zhongyuan, Beijing Technology and Business University, 100048, China; Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, 100048, China. Electronic address:

Odor-taste interaction has gained success in enhancing saltiness perception. This work aimed to provide candidate odorants for saltiness enhancement. Volatile compounds and their frequencies in salty foods were systematically analyzed.

View Article and Find Full Text PDF

Multisensory integration of social signals by a pathway from the basal amygdala to the auditory cortex in maternal mice.

Curr Biol

November 2024

Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA. Electronic address:

Social encounters are inherently multisensory events, yet how and where social cues of distinct sensory modalities merge and interact in the brain is poorly understood. When their pups wander away from the nest, mother mice use a combination of vocal and olfactory signals emitted by the pups to locate and retrieve them. Previous work revealed the emergence of multisensory interactions in the auditory cortex (AC) of both dams and virgins who cohabitate with pups ("surrogates").

View Article and Find Full Text PDF
Article Synopsis
  • * This study focuses on the olfactory system, looking at how neurons in this area may communicate through a special region called a "communication subspace."
  • * The findings show that these neuronal groups in the olfactory pathway communicate based on breathing patterns and can send information back and forth, with the effectiveness of this communication affected by anesthesia.
View Article and Find Full Text PDF
Article Synopsis
  • Higher brain functions rely on how experiences shape information representation, potentially organized through attractor dynamics or changes in neural manifolds.
  • Research on zebrafish's olfactory responses showed that instead of attractor dynamics, training improved the differentiation of neural representations for relevant odors, in line with autoassociative network models.
  • The geometry of these neural manifolds was crucial for classifying sensory information and predicting odor discrimination, indicating that areas like pDp might encode information in a way that supports both sensory and meaningful learning.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!