Tracking an odour plume to locate its source under variable wind and plume statistics is a
complex task. Flying insects routinely accomplish such tracking, often over long distances, in …

We used a dynamical systems perspective to understand decision-related neural activity, a
fundamentally unresolved problem. This perspective posits that time-varying neural activity …

Cognitive flexibility is a fundamental ability that enables humans and animals to exhibit
appropriate behaviors in various contexts. The thalamocortical interactions between the …

How related are the representations learned by neural language models, translation
models, and language tagging tasks? We answer this question by adapting an encoder …

In recent years, deep learning has revolutionized machine learning and its applications,
producing results comparable to human experts in several domains, including …

In theoretical neuroscience, recent work leverages deep learning tools to explore how some
network attributes critically influence its learning dynamics. Notably, initial weight …

Major achievements in designing and analyzing recurrent spiking neural networks intended
for modeling functional brain networks are reviewed. Key terms and definitions employed in …

Real-world tasks require coordination of working memory, decision-making, and planning,
yet these cognitive functions have disproportionately been studied as independent modular …

How do attention and consciousness interact in the human brain? Rival theories of
consciousness disagree on the role of fronto-parietal attentional networks in conscious …

The spectacular successes of recurrent neural network models where key parameters are
adjusted via backpropagation-based gradient descent have inspired much thought as to …