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 …

Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …

Map** behavioural actions to neural activity is a fundamental goal of neuroscience. As our
ability to record large neural and behavioural data increases, there is growing interest in …

Neurophysiology has long progressed through exploratory experiments and chance
discoveries. Anecdotes abound of researchers listening to spikes in real time and noticing …

Our ability to use deep learning approaches to decipher neural activity would likely benefit
from greater scale, in terms of both the model size and the datasets. However, the …

Achieving state-of-the-art performance with deep neural population dynamics models
requires extensive hyperparameter tuning for each dataset. AutoLFADS is a model-tuning …

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 …

The neural underpinning of the biological visual system is challenging to study
experimentally, in particular as the neuronal activity becomes increasingly nonlinear with …

Intracortical brain-computer interfaces (iBCIs) restore motor function to people with paralysis
by translating brain activity into control signals for external devices. In current iBCIs …

The relation between neural activity and behaviorally relevant variables is at the heart of
neuroscience research. When strong, this relation is termed a neural representation. There …