Camilo Libedinsky

 

Camilo Libedinsky
Ph.D. (Harvard)
Assistant Professor Department of Psychology
PI, N.1 Institute for Health
Joint PI, IMCB, A*STAR
Programme Member, LSI Neurobiology Programme
National University of Singapore
Address: AS4-03-39
Tel: 92711190
Email: camilo@nus.edu.sg
Website: libedinskylab.com

Major Research Interests

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.

Recent Publications

1. Neural correlates of learning in a linear discriminant analysis brain-computer interface paradigm YT Lo, B Premchand, C Libedinsky Journal of Neural Engineering 19 (5), 056041, 2022
2. A nonlinear hidden layer enables actor–critic agents to learn multiple paired association navigation MG Kumar, C Tan, C Libedinsky, SC Yen, AYY TanCerebral Cortex 32 (18), 3917-3936, 2022
3. 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
4. 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.
5. 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
6. 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.
7. 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.)