An analysis of recent literature advances novel hypotheses and suggests new experimental approaches in order to build an integrated understanding of prefrontal neural architecture and behavioral repertoires during development.
Neuronal participation in generation of motor patterns in the spinal circuits is lognormal, which is an indication of a rich diversity of activity within the mean-driven as well as the fluctuation-driven regimes.
Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
Transsynaptic mapping of the postsynaptic connections of mushroom body output neurons reveal both divergent and convergent projections allowing for multimodal integration prior to initiation of an output response.
Spontaneous theta oscillations and interneuron-specific phase preferences emerge spontaneously in a full-scale model of the isolated hippocampal CA1 subfield, corroborating and extending recent experimental findings.
Songbirds can use arbitrary visual cues to immediately, flexibly and adaptively control syntax of learned song vocalizations in a manner that parallels human cognitive control over syllable sequencing in speech.