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Viewing behavior is a key variable of interest but also a confound in fMRI studies. This paper presents a deep learning framework to decode gaze position from the magnetic resonance signal of the eyeballs, which enables eye tracking in fMRI data without a camera.
This paper explores neural network and cellular complexity within human cortical and subcortical fusion organoids. The platform is used to model network dysfunction associated with Rett syndrome and to identify new therapeutic candidates.
The authors introduce advanced technology for controlled wireless light delivery in optogenetics applications with real-time user programming capacity. The utility of the platform is highlighted by induction of neural synchrony to modify social behavior in mice.
Sun et al. present BARseq2, a high-throughput method combining in situ sequencing of endogenous mRNAs with barcode-based axonal projection mapping, and apply it to identify cadherins that correlate with similar projections in two cortical areas.
Liu et al. present a flexible, insertable and transparent microelectrode (FITM) array termed Neuro-FITM. Multimodal recordings with Neuro-FITM reveal diverse and selective large-scale cortical activation patterns associated with hippocampal sharp-wave ripples.
The authors develop a genetically encoded GPCR-based sensor to image serotonin dynamics in behaving animals with high specificity, sensitivity and spatiotemporal resolution.