Marcelo Armendariz

About

I am a Research Fellow at Harvard Medical School and Boston Children's Hospital, and a member of MIT's Center for Brains, Minds and Machines. I study the neural mechanisms and computational principles underlying human cognition, with a particular focus on perception, memory, and learning. My research combines intracranial neurophysiological recordings in the human brain, behavioral experiments, machine learning and AI methods.

I also work on advancing neurotechnology for use in patients. Together with Dr. Scellig Stone, we established a novel technique to record single-neuron activity in pediatric epilepsy patients, launching the human single-neuron research program at Boston Children's Hospital. These recordings offer exceptional resolution for studying epileptic activity and open new avenues to investigate the neural basis of human cognition and neurological disorders.

Publications

Selected publications. Full list on Google Scholar.

• 2026

  Single-neuron encoding of rapidly learned visual information reshapes human perception

  Armendariz M, Blumberg J, Singer J, Aiple F, Kim J, Dominguez-Iturza N, Brandt A, Reinacher P, Schulze-Bonhage A, Kreiman G

  Nature Neuroscience · In press

  doi.org/10.1101/2025.08.04.668333
• 2026

  Can machines imitate humans? Integrative Turing tests for vision and language demonstrate a narrowing gap

  Zhang M*, Pavarino E*, Liu X*, Dellaferrera G, Sikarwar A*, Chen C*, Armendariz M*, Mudrik N*, …, Kreiman G

  Nature Human Behaviour · In press

  arxiv.org/abs/2211.13087
• 2025

  An adversarial collaboration to critically evaluate theories of consciousness

  Cogitate Consortium — Ferrante O, Gorska-Klimowska U, Henin S, …, Armendariz M, …, Boly M, Dehaene S, Koch C, Tononi G, Pitts M, Mudrik L & Melloni L

  Nature 642, 133–142, 2025

  doi.org/10.1038/s41586-025-08888-1
• 2025

  Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception

  Seedat A, Lepauvre A, Jeschke J, Gorska-Klimowska U, Armendariz M, Bendtz K, …, Kreiman G, Melloni L

  Scientific Data 12:854, 2025

  doi.org/10.1038/s41597-025-04833-z
• 2024

  Interdisciplinary and collaborative training in neuroscience: Insights from the Human Brain Project education programme

  Geminiani A, Kathrein J, Yegenoglu A, Vogel F, Armendariz M, et al.

  Neuroinformatics 22(4):657–678, 2024

  doi.org/10.1007/s12021-024-09682-6
• 2022

  Look twice: A generalist computational model predicts return fixations across tasks and species

  Zhang M*, Armendariz M*, Xiao W, Rose O, Bendtz K, Livingstone M, Ponce CR, Kreiman G

  PLoS Computational Biology 18(11):e1010654, 2022

  doi.org/10.1371/journal.pcbi.1010654
• 2022

  Do computational models of vision need shape-based representations? Evidence from an individual with intriguing visual perceptions

  Armendariz M, Xiao W, Vinken K, Kreiman G

  Cognitive Neuropsychology 39:75–77, 2022

  doi.org/10.1080/02643294.2022.2041588
• 2019

  Areal differences in depth cue integration between monkey and human

  Armendariz M, Ban H, Welchman AE, Vanduffel W

  PLoS Biology 17(3):e2006405, 2019

  doi.org/10.1371/journal.pbio.2006405
• 2019

  Neural effects of transcranial magnetic stimulation at the single-cell level

  Romero MC, Armendariz M, Davare M, Janssen P

  Nature Communications 10:2642, 2019

  doi.org/10.1038/s41467-019-10638-7
• 2019

  The autism- and schizophrenia-associated protein CYFIP1 regulates bilateral brain connectivity and behaviour

  Domínguez-Iturza N, Lo AC, Shah D, Armendariz M, Vannelli A, Mercaldo V, …, Bagni C

  Nature Communications 10:3454, 2019

  doi.org/10.1038/s41467-019-11203-y
• 2019

  Homology and specificity of natural sound-encoding in human and monkey auditory cortex

  Erb J*, Armendariz M*, De Martino F, Goebel R, Vanduffel W, Formisano E

  Cerebral Cortex 29(9):3636–3650, 2019

  doi.org/10.1093/cercor/bhy243

Selected publications. Full list on Google Scholar.