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A comprehensive, data-driven and interpretable nonlinear computational modeling framework based on deep neural networks uncovers different nonlinear transformations of speech signal in the human auditory cortex.

Dopamine is able to ensure that neural networks maintain critical features of their output, such as synchrony of neuron firing, by directly increasing coupling strength to ensure robust output is maintained.

Synaptic modulations alone imbue networks with computational capabilities comparable to recurrent connections on several neuroscience-relevant tasks, which manifest in fundamentally different neuronal dynamics.

A flexible transcription initiation architecture and a uniform regulatory grammar buffer expression variability and the effects of genetic variants on essential genes while a rigid transcription initiation architecture and a diverse regulatory grammar ensure condition-specific responsiveness of other genes.

A computational model of the neuronal network that recognizes mating signals reveals network properties that support and constrain behavioral diversity in a species group.

Stochasticity introduced computationally into a gene expression oscillator creates heterogeneity in the time of differentiation of identical cells and offers robustness to the progenitor state and the outcome of cell division.

Anterior Cingulate Cortex displays robust tracking during strategy execution of a summary statistic for that strategy in recent behavioral history, suggesting a role for this brain region in estimating which actions promote the occurrence of events in the environment.

Neural networks like the crustacean cardiac ganglion employ multi-faceted compensatory mechanisms to achieve the stability and robustness that are critical to long-term function.

Nuanced changes in the mechanism of oscillation in reciprocally inhibitory circuits can profoundly alter the circuit stability in response to perturbations and inputs.

Neurodevelopmental critical periods act to integrate activity to encode homeostatic set points that remain fixed thereafter.