Camilo Libedinsky
PhD
Department of Psychology
PI, N.1 Institute for Health
Joint PI, IMCB, A*STAR
Address: AS4-03-39
Email: camilo@nus.edu.sg
What are your present research interests or distinctive viewpoint to your research?
Our main area of research is in the field of cognitive computational neuroscience, where we study mental processes such as attention, working memory and decision-making. To this end, we record the activity of dozens of neurons simultaneously while animals perform complex behavioral tasks. The goal is to understand information processing in networks of neurons distributed in multiple brain regions.
We also engage in collaborations with engineers and medical doctors to test new medical devices and other technologies to understand or treat diseases and conditions that affect the nervous system. We have ongoing projects on cortical brain-machine interfaces, peripheral neuroprosthesis, Alzheimer’s disease, and Parkinson’s disease.
What do you see as your future research directions?
1. Circuit-level investigation of the role of different brain regions in cognitive operations
2. Mechanisms of neurological disorders
3. Development of neurotechnologies
Does your laboratory have a particularly strong research expertise?
Cognitive neuroscience
Recent Publications
- Tan P.K., Tang C., Herikstad R., Pillay, A., Libedinsky, C. (2020). Distinct lateral prefrontal regions are organized in an anterior-posterior functional gradient. bioRxiv
- Cheng T., Herikstad R., Parthasarathy, A., Libedinsky, C., Yen, S.C. (2020). Independent Activity Subspaces for Working Memory and Motor Preparation in the Lateral Prefrontal Cortex. eLife, 9, p.e58154.
- Parthasarathy, A., Cheng T., Herikstad R., Loong F.C., Yen, S.C.,Libedinsky, C. (2019). Time-Invariant Working Memory Representations in the Presence of Code-Morphing in the Lateral Prefrontal Cortex. Nature Communications, 10, 4995
- Libedinsky, C. D.., & Fernandez, P. F. (2019). Graded Memory: A Cognitive Category to Replace Spatial Sustained Attention and Working Memory. The Yale Journal of Biology and Medicine,92(1), 121.
- Parthasarathy, A., Herikstad, R., Bong, J. H., Medina, F. S., Libedinsky, C., & Yen, S. C. (2017). Mixed selectivity morphs population codes in prefrontal cortex. Nature Neuroscience, 1-10. (full text + suppl.)