Biological computing (or biocomputing) offers potential advantages over silicon-based
computing in terms of faster decision-making, continuous learning during tasks, and greater …

Recording from a large neuronal population of neurons is a crucial challenge to unravel how
information is processed by the brain. In this review, we highlight the recent advances made …

As data sharing has become more prevalent, three pillars-archives, standards, and analysis
tools-have emerged as critical components in facilitating effective data sharing and …

To understand the brain we must relate neurons' functional responses to the circuit
architecture that shapes them. Here, we present a large functional connectomics dataset …

Nullius in verba ('trust no one'), chosen as the motto of the Royal Society in 1660, implies
that independently verifiable observations—rather than authoritative claims—are a defining …

Advances in neural recording present increasing opportunities to study neural activity in
unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this …

Characterizing cellular diversity at different levels of biological organization and across data
modalities is a prerequisite to understanding the function of cell types in the brain …

Investigations into how individual neurons encode behavioral variables of interest have
revealed specific representations in single neurons, such as place and object cells, as well …

The importance of effective research data management (RDM) strategies to support the
generation of Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience data …

In this perspective article, we consider the critical issue of data and other research object
standardisation and, specifically, how international collaboration, and organizations such as …