Biology subjects

Oisi, Y.

Publications and source records attributed to Oisi, Y..

4 recordsLinked to original sources

bioRxiv2026

Prior experience establishes a proactive cortical filter that blocks redundant associations

Prior experience allows selective learning by filtering out redundant cues, as exemplified by blocking, in which prior learning about one cue prevents a novel but redundant cue from being learned during subsequent compound conditioning. Top-down cortico-cortical pathways have been implicated in sensory filtering, but whether, how, and when they contribute to blocking remain unknown. Here we establish a head-fixed blocking paradigm in mice in which prior auditory cue-reward learning prevents a redundant somatosensory cue-reward association during subsequent compound conditioning. We found that a projection from anterior cingulate cortex (ACC) to primary somatosensory cortex (S1) facilitates blocking. Prior auditory learning establishes ACC-driven inhibitory control over S1 via parvalbumin neurons, before explicit somatosensory experience, thereby suppressing burst responses to the somatosensory cue, limiting network plasticity, and promoting blocking. These findings propose a proactive cortical filter that preconfigures inhibitory sensory bias to constrain future learning about redundant cues. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/736748v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@6e1c4org.highwire.dtl.DTLVardef@1d01b49org.highwire.dtl.DTLVardef@1af67fdorg.highwire.dtl.DTLVardef@d42d8d_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2023

Emotional association enhances perceptual memory through amygdalo-cortical inputs during NREM sleep

Emotional arousal is thought to enhance the consolidation of associated memories by activating the basolateral amygdala (BLA) and its projections to memory-storing regions1-4. Although the importance of both rapid eye movement (REM) and non-REM (NREM) sleep-state specific BLA activity for emotional memory processing has been proposed5-9, how and when the BLA interacts with other brain regions to enhance memory consolidation remains unclear10. Here, by adding emotional information to a perceptual recognition task that relies on top-down inputs from frontal to sensory cortices, we demonstrated that the BLA not only associates emotional information with perceptual information, but also enhances the retention of associated perceptual memory through BLA-frontal projections. Electrophysiological recordings revealed that emotional association increases the reactivation of coordinated activity across the BLA-frontal-sensory region during NREM sleep, but not during REM sleep. Notably, this inter-regional coordinated reactivation during NREM sleep was entrained to the BLA high-frequency oscillations in the emotional condition, suggesting that the BLA triggers inter-regional interaction. Optogenetic silencing of BLA terminals in the frontal cortex during NREM sleep, but not REM sleep, disrupted the enhanced retention of the perceptual memory, but not the association itself or the emotional component of associative memory. Our results indicate that the inter-regional coordination through the BLA-cortical inputs during NREM sleep is causally required for memory enhancement by emotional arousal.

neuroscience↗

bioRxiv2020

Fast scanning high optical invariant two-photon microscopy for monitoring a large neural network activity with cellular resolution

Fast and wide imaging with single-cell resolution, high signal-to-noise ratio and no optical aberration has the potential to open up new avenues of investigation in biology. However, this imaging is challenging because of the inevitable tradeoffs among those parameters. Here, we overcome the tradeoffs by combining a resonant scanning system, a large objective with low magnification and high numerical aperture, and highly sensitive large-aperture photodetectors. The result is a practically aberration-free, fast scanning high optical invariant two-photon microscopy (FASHIO-2PM) that enables calcium imaging from a large network composed of [~]16k neurons at 7.5 Hz in a 9 mm2 contiguous image plane including more than 10 sensory-motor and higher-order regions of the cerebral cortex in awake mice. Through a network analysis based on single-cell activities, we discover that the brain exhibits small-world-ness rather than scale-freeness. FASHIO-2PM will enable revealing biological dynamics by simultaneous monitoring of macroscopic activity and its composing elements.

neuroscience↗

bioRxiv2018

Low Computational-cost Cell Detection Method for Calcium Imaging Data

The rapid progress of calcium imaging has reached a point where the activity of tens of thousands of cells can be recorded simultaneously. However, the huge amount of data in such records makes it difficult to carry out cell detection manually. Consequently, because the cell detection is the first step of multicellular data analysis, there is a pressing need for automatic cell detection methods for large-scale image data. Automatic cell detection algorithms have been pioneered by a handful of research groups. Such algorithms, however, assume a conventional field of view (FOV) (i.e. 512 x 512 pixels) and need a significantly higher computational power for a wider FOV to work within a practical period of time. To overcome this issue, we propose a method called low computational-cost cell detection (LCCD), which can complete its processing even on the latest ultra-large FOV data within a practical period of time. We compared it with two previously proposed methods, constrained non-negative matrix factorization (CNMF) and Suite2P. We found that LCCD makes it possible to detect cells from a huge-amount of high-density imaging data within a shorter period of time and with an accuracy comparable to or better than those of CNMF and Suite2P.

neuroscience↗