I’m a postdoctoral scholar at the Neural Coding and Brain Computing Unit, Okinawa Institute of Science and Technology. I'm also the human behind Skeppuccino, a SciComm-oriented illustration studio.
- Postdoctoral scholar (April 2021 - current)
Neural Coding and Brain Computing Unit, Okinawa Institute of Science and Technology
Team Leader: Tomoki Fukai
- Doctor of Philosophy (obtained March 2021)
Department of Complex Science and Engineering
Graduate School of Frontier Sciences, University of Tokyo, Japan
- MS, Physics (obtained March 2017)
São Carlos Institute of Physics, University of São Paulo, Brazil
- BS, Computational Physics (obtained December 2014)
São Carlos Institute of Physics, University of São Paulo, Brazil
- Special Research Student (May 2019 - March 2021)
Okinawa Institute of Science and Technology, place of research for PhD project
- Student Trainee (April 2017 - April 2019)
RIKEN Center for Brain Science, place of research for PhD project
- Student Trainee (January 2015 - April 2015)
RIKEN Center for Brain Science, internship
Publications in peer-reviewed journals
- Omura, Y; Carvalho, M M; Inokuchi, K; Fukai, T. A lognormal recurrent network model for burst generation during hippocampal sharp waves. The Journal of Neuroscience, 28 October 2015, 35(43): 14585-14601; doi: 10.1523/JNEUROSCI.4944-14.2015
- Carvalho, M M. Learning temporal features in a multicompartment model through self-supervision. Supervised by Dr. Tomoki Fukai (OIST, previously UTokyo/RIKEN), defended January 2021. doi: 10.15083/0002007162
- Carvalho, M M. Structural, functional and dynamical properties of a lognormal network of bursting neurons. Supervised by Dr. Leonardo P. Maia (IFSC-USP), defended March 2017. doi: 10.11606/D.76.2017.tde-25052017-110738
- Carvalho, M M; Cojocaru, R; Fukai, T. Neuron participation in temporal patterns forms cross-layer, non-random networks in rat motor cortex. 2024. Poster presented at the 33rd Annual Computational Neuroscience Meeting (CNS*2024).
- Carvalho, M M; Fukai, T. Self-supervision mechanism of multiple dendritic compartments for temporal feature learning. 2020. Poster presented at the 29th Annual Computational Neuroscience Meeting (CNS*2020).
Teaching and course design
Illustrations for science communication