This research investigates how differences in butterfly behavior relate to brain evolution and memory. Heliconius butterflies showed superior long-term memory and enlarged mushroom body brain regions compared with related species. The work explores how neurogenesis shapes cognition and may ultimately contribute to understanding memory, brain development, and neurological disorders.

This research investigates how Melatonin regulates sleep using zebrafish models. The work identifies the MT1 receptor as essential for melatonin-induced sleep and suggests melatonin may reduce responsiveness to visual stimuli during sleep, helping explain how the brain increases arousal thresholds and maintains nighttime sleep states.

This research investigates how the brain uses different decision-making strategies and how those strategies vary across individuals, including people with neurodivergent conditions such as autism, schizophrenia, and ADHD. Using controlled game environments and brain imaging, the study maps neural decision-making circuits to better understand cognition, behavioural diversity, and potential therapeutic interventions.

This research investigates whether activation of the sympathetic nervous system can enhance tissue regeneration. Using engineered neural switches in mice, the study demonstrated improved healing after ear injury, including growth of nerves, blood vessels, and cartilage. The findings suggest that nervous system regulation may play an important role in future regenerative medicine therapies.

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 neuroscience research investigates how the human brain constructs and adapts goals. Using fMRI and a dynamic decision-making game, the study identifies neural activity in the prefrontal cortex and anterior cingulate cortex associated with goal selection, valuation, and adaptation. The findings may help develop AI systems better aligned with human goals.

This neuroscience research investigates how the brain assigns value during decision-making. Using low-intensity focused ultrasound and human single-neuron recordings, the study examines the ventromedial prefrontal cortex and its role in transforming perception into choices. The findings may improve understanding of disorders such as obsessive-compulsive disorder and maladaptive decision-making.

This research investigates the physiological signature of presence by linking heart rate patterns to states of embodiment and attention. Using movement meditation, self-reports, and continuous heart monitoring, it aims to identify the “heartbeat rhythm” of presence. The findings could support technologies that promote emotional regulation, mindfulness, and human connection.

This research investigates the role of force feedback in virtual reality training. By comparing users with and without haptic feedback, it examines effects on brain activity, skill acquisition, and real-world performance. The study aims to improve VR training systems by incorporating sensory input essential for effective motor learning and skill transfer.

This research improves neural implants for vision restoration by reproducing natural brain activity patterns. Using a two-way stimulation approach in the retina, electrical signals are optimized to activate neurons precisely. This enables more accurate visual perception, moving beyond crude light flashes toward meaningful vision, with potential to restore recognition of familiar faces.