This research uses the Manhattan maze to study rapid learning and memory in mice. The study demonstrates that mice can acquire complex navigation sequences after only a few rewards, retain memories overnight, and generalize learned strategies to new mazes. The findings provide insights into few-shot learning, memory formation, and adaptive intelligence.

This talk reframes mathematics as a creative, pattern-based discipline rather than rote calculation. Through research in topology and prison education initiatives, it highlights math’s role in fostering curiosity, resilience, and critical thinking. The speaker argues that mathematical thinking benefits everyone, promoting perseverance and empathy beyond academic or professional contexts.

This research shows that pauses in information streams alter decision-making. After a break, the brain increases effort, giving greater weight to subsequent information—a “peak-after-break” effect. A computational model explains this as a performance-effort tradeoff. Findings challenge traditional theories and suggest strategic pauses can shape attention, memory, and judgment.

This research develops a new way to measure mathematical language by integrating words, symbols, and graphs. Through experimental tasks, it shows that these skills predict mathematical performance. The findings highlight the importance of teaching connections between representations, with implications for improving mathematics education and understanding how language shapes learning.

This talk describes research on how the brain learns and remembers by recording neural activity in mice navigating virtual environments. By studying hippocampal and cortical neurons, the work reveals how the brain builds cognitive maps of space and experience, offering insights into memory loss and Alzheimer’s disease.