Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …

Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

Brains process information in spiking neural networks. Their intricate connections shape the
diverse functions these networks perform. Yet how network connectivity relates to function is …

A central principle in neuroscience is that neurons within the brain act in concert to produce
perception, cognition, and adaptive behavior. Neurons are organized into specialized brain …

Our decisions often depend on multiple sensory experiences separated by time delays. The
brain can remember these experiences and, simultaneously, estimate the timing between …

Primates can richly parse sensory inputs to infer latent information. This ability is
hypothesized to rely on establishing mental models of the external world and running mental …

Modelling the spatiotemporal dynamics in the activity of neural populations while also
enabling their flexible inference is hindered by the complexity and noisiness of neural …

Others' observed actions cause continuously changing retinal images, making it challenging
to build neural representations of action identity. The monkey anterior intraparietal area …

Stroke is a leading cause of disability. While neurotechnology has shown promise for
improving upper limb recovery after stroke, efficacy in clinical trials has been variable. Our …

Learned movements can be skillfully performed at different paces. What neural strategies
produce this flexibility? Can they be predicted and understood by network modeling? We …