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In addition to light intensity, changes in pupil diameter are correlated with mental effort, attention and levels of arousal. Reimer et al. report that across behavioural states, fluctuations in pupil diameter are highly correlated with activity of noradrenergic and cholinergic projection neurons.

Neural Decomposition (NEURD) is a software package that decomposes neuronal data from high-resolution electron microscopy volumes into feature-rich graph representations to facilitate analysis for neuroscience research.

The MICrONS mouse visual cortex dataset shows that neurons with similar response properties preferentially connect, a pattern that emerges within and across brain areas and layers, and independently emerges in artificial neural networks where these ‘like-to-like’ connections prove important for task performance.

Dense calcium imaging combined with co-registered high-resolution electron microscopy reconstruction of the brain of the same mouse provide a functional connectomics map of tens of thousands of neurons of a region of the primary cortex and higher visual areas.

A study of patients with COVID-19 and healthy donors found CD4⁺ T cells that react to the spike protein of SARS-CoV-2 and human endemic coronaviruses; however, the effect of pre-existing SARS-CoV-2 cross-reactive T cells on clinical outcomes remains to be determined.

Excitatory neurons in the neocortex exhibit considerable morphological diversity, yet their organizational principles remain a subject of ongoing research. Here, the authors use unsupervised learning to show that most excitatory neuron morphologies in the mouse visual cortex form a continuum, with notable exceptions in deeper layers.

A foundation model trained on neural activity of visual cortex from multiple mice accurately predicts responses to video stimuli and cell types, dendritic features and connectivity within the MICrONS functional connectomics dataset.

Using volumetric electron microscopy, the authors map and analyze the structure of cortical inhibition with synaptic resolution across a column of visual cortex.

Saçma, Pospiech and co-workers show that sinusoidal niches are uniquely preserved on ageing, that they are the predominant niche for label-retaining (LR)-HSCs in aged mice and display higher reconstitution capacity compared with non-LR HSCs.

Computational modelling and functional imaging of awake, active mice show that behaviour directly changes neuronal tuning in the visual cortex through pupil dilation.

The authors develop a deep learning approach that enables an efficient search of the input space to find the best stimuli for modeled neurons. When tested, these stimuli are most effective at driving their matching cells in the brain.

Ectonucleotidases associated to regulatory T cells are known modulators in the inflammatory environment. Here the authors describe CD8 T cell-derived extracellular vesicles bearing CD73 and suggest they function as an additional intrinsic modulator of immune responses.

Ouzounov et al. report calcium imaging with three-photon microscopy in the mouse brain. The approach enabled noninvasive recording of activity with high spatial and temporal resolution from GCaMP6-labeled neurons located as deep as the hippocampus.

It is widely hypothesised that primeval life utilized small organic molecules as sources of carbon and energy, however, the presence of such primordial ingredients in early Earth habitats has not yet been demonstrated. Here the authors report the existence of indigenous organic molecules and gases in primary fluid inclusions in c. 3.5- billion-year-old rocks from Western Australia.

Type-2 innate lymphoid cells (ILC2) affect adipose tissue metabolism and function. Here the authors show that the ILC2 are present in para-aortic adipose tissue and represent a major source of IL-5 and IL-13 required for mounting atheroprotective immunity, which can be altered by high fat diet.

Cortical activity is modulated by an intricate network of feedforward and feedback connectivity. Here the authors demonstrate distinct organizational rules govern feedback projections from lateral medial area to V1 versus projections from vibrissal M1 to vibrissal S1.

The identification of HLA peptides by mass spectrometry is non-trivial. Here, the authors extended and used the wealth of data from the ProteomeTools project to improve the prediction of non-tryptic peptides using deep learning, and show their approach enables a variety of immunological discoveries.

A deep learning–based tool, Prosit, predicts high-quality peptide tandem mass spectra, improving peptide-identification performance compared with that of traditional proteomics analysis methods.

Combining different integration platforms on the same chip is currently one of the main challenges for quantum technologies. Here, Elshaari et al. show III-V Quantum Dots embedded in nanowires operating in a CMOS compatible circuit, with controlled on-chip filtering and tunable routing.

Western-central European summers were about 6–10 °C cooler with roughly 30–70% less precipitation during last glacial climate oscillations compared to modern values, according to quantitative paleoclimate estimates based on earthworm calcite granules.

The authors report whole-blood RNA-seq for 4,871 samples from 1,570 participants in the Parkinson Progression Marker Initiative. This Resource documents blood-based transcriptomic changes associated with PD, including early increases in neutrophil gene expression with a decrease in lymphocytes.

Patch-seq reveals new neuronal subtypes by combining electrophysiological and RNA-seq data on single neurons in situ.

Spontaneous parametric down-conversion, the standard technique for generating entangled photons, is limited by low pair extraction efficiencies at near-unity fidelity. The authors show quantum dots in nanowires efficiently emit an oscillating state with near-unity entanglement fidelity and propose a time-resolved quantum key distribution protocol.

The ProteomeTools project provides the proteomics community with a physical synthetic tryptic peptide resource and a digital LC-MS/MS data resource covering all human proteins.

This Perspective describes the development and capabilities of SciPy 1.0, an open source scientific computing library for the Python programming language.

This protocol describes how to integrate whole-cell patch-clamp in single neurons from mouse brain tissue slices with single-cell RNA sequencing and morphological recovery.