scholarly journals Bi-directional encoding of context-based odor signals and behavioral states by the nucleus of the lateral olfactory tract neurons

2020 ◽  
Author(s):  
Yuta Tanisumi ◽  
Kazuki Shiotani ◽  
Junya Hirokawa ◽  
Yoshio Sakurai ◽  
Hiroyuki Manabe

AbstractThe nucleus of the lateral olfactory tract (nLOT) is not only a part of the olfactory cortex that receives olfactory sensory inputs from the olfactory bulb, but also one of the cortical amygdala areas that regulates motivational behaviors. To examine how the neural ensemble activity of the nLOT is modulated by motivational processes that occur during various states of learned goal-directed behaviors, we recorded nLOT spike activities of mice performing odor-guided go/no-go tasks for obtaining a water reward. We found that the majority of the nLOT neurons exhibited sharp go-cue excitation and persistent no-go-cue inhibition responses triggered by an odor onset. The bi-directional cue encoding introduced nLOT population response dynamics and provided a high odor decoding accuracy before executing cue-odor-evoked behaviors. The go-cue preferred neurons were also activated in the reward drinking state, indicating context-based odor-outcome associations. These findings suggest that the nLOT neurons play an important role in the translation from context-based odor information to appropriate behavioral motivation.

iScience ◽  
2021 ◽  
pp. 102381
Author(s):  
Yuta Tanisumi ◽  
Kazuki Shiotani ◽  
Junya Hirokawa ◽  
Yoshio Sakurai ◽  
Hiroyuki Manabe

2021 ◽  
Vol 226 (2) ◽  
pp. 519-562 ◽  
Author(s):  
Elena Garcia-Calero ◽  
Lara López-González ◽  
Margaret Martínez-de-la-Torre ◽  
Chen-Ming Fan ◽  
Luis Puelles

AbstractWe focus this report on the nucleus of the lateral olfactory tract (NLOT), a superficial amygdalar nucleus receiving olfactory input. Mixed with its Tbr1-expressing layer 2 pyramidal cell population (NLOT2), there are Sim1-expressing cells whose embryonic origin and mode of arrival remain unclear. We examined this population with Sim1-ISH and a Sim1-tauLacZ mouse line. An alar hypothalamic origin is apparent at the paraventricular area, which expresses Sim1 precociously. This progenitor area shows at E10.5 a Sim1-expressing dorsal prolongation that crosses the telencephalic stalk and follows the terminal sulcus, reaching the caudomedial end of the pallial amygdala. We conceive this Sim1-expressing hypothalamo-amygdalar corridor (HyA) as an evaginated part of the hypothalamic paraventricular area, which participates in the production of Sim1-expressing cells. From E13.5 onwards, Sim1-expressing cells migrated via the HyA penetrate the posterior pallial amygdalar radial unit and associate therein to the incipient Tbr1-expressing migration stream which swings medially past the amygdalar anterior basolateral nucleus (E15.5), crosses the pallio-subpallial boundary (E16.5), and forms the NLOT2 within the anterior amygdala by E17.5. We conclude that the Tbr1-expressing NLOT2 cells arise strictly within the posterior pallial amygdalar unit, involving a variety of required gene functions we discuss. Our results are consistent with the experimental data on NLOT2 origin reported by Remedios et al. (Nat Neurosci 10:1141–1150, 2007), but we disagree on their implication in this process of the dorsal pallium, observed to be distant from the amygdala.


2018 ◽  
Vol 98 ◽  
pp. 130-144 ◽  
Author(s):  
Ricardo P. Vaz ◽  
Armando Cardoso ◽  
Paula Serrão ◽  
Pedro A. Pereira ◽  
M. Dulce Madeira

1989 ◽  
Vol 9 (8) ◽  
pp. 2764-2775 ◽  
Author(s):  
H Eichenbaum ◽  
SI Wiener ◽  
ML Shapiro ◽  
NJ Cohen

2011 ◽  
Vol 467-469 ◽  
pp. 1291-1296
Author(s):  
Wen Wen Bai ◽  
Xin Tian

Working memory is one of important cognitive functions and recent studies demonstrate that prefrontal cortex plays an important role in working memory. But the issue that how neural activity encodes during working memory task is still a question that lies at the heart of cognitive neuroscience. The aim of this study is to investigate neural ensemble coding mechanism via average firing rate during working memory task. Neural population activity was measured simultaneously from multiple electrodes placed in prefrontal cortex while rats were performing a working memory task in Y-maze. Then the original data was filtered by a high-pass filtering, spike detection and spike sorting, spatio-temporal trains of neural population were ultimately obtained. Then, the average firing rates were computed in a selected window (500ms) with a moving step (125ms). The results showed that the average firing rate were higher during workinig memory task, along with obvious ensemble activity. Conclusion: The results indicate that the working memory information is encoded with neural ensemble activity.


Sign in / Sign up

Export Citation Format

Share Document