Animals evolved in complex environments, producing a wide range of behaviors, including
navigation, foraging, prey capture, and conspecific interactions, which vary over timescales …

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 …

Much development has been directed toward improving the performance and automation of
spike sorting. This continuous development, while essential, has contributed to an over …

The large diversity of neuron types provides the means by which cortical circuits perform
complex operations. Neuron can be described by biophysical and molecular characteristics …

Inhibitory neurons, which play a critical role in decision-making models, are often simplified
as a single pool of non-selective neurons lacking connection specificity. This assumption is …

Extracellular electrophysiology and two-photon calcium imaging are widely used methods
for measuring physiological activity with single-cell resolution across large populations of …

We present a dataset of 1809 single neurons recorded from the human medial temporal
lobe (amygdala and hippocampus) and medial frontal lobe (anterior cingulate cortex, pre …

Experimental studies in neuroscience are producing data at a rapidly increasing rate,
providing exciting opportunities and formidable challenges to existing theoretical and …

The Patch-seq approach is a powerful variation of the patch-clamp technique that allows for
the combined electrophysiological, morphological, and transcriptomic characterization of …

Scientists have long conjectured that the neocortex learns the structure of the environment in
a predictive, hierarchical manner. To do so, expected, predictable features are differentiated …