Rishi Rajalingham
Affiliations: | 2010-2012 | McGill University, Montreal, QC, Canada | |
| 2013- | Massachusetts Institute of Technology, Cambridge, MA, United States |
Area:
vision, motor-planning, brain-machine interfacesGoogle:
"Rishi Rajalingham"Mean distance: 14.27 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Sam Musallam | grad student | 2010-2012 | McGill |
| James J. DiCarlo | grad student | 2013-2018 | MIT |
| Mehrdad Jazayeri | post-doc | 2019- | MIT |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Nayebi A, Rajalingham R, Jazayeri M, et al. (2023) Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes. Arxiv |
| Rajalingham R, Piccato A, Jazayeri M. (2022) Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task. Nature Communications. 13: 5865 |
| Rajalingham R, Sorenson M, Azadi R, et al. (2021) Chronically implantable LED arrays for behavioral optogenetics in primates. Nature Methods |
| Sohn H, Meirhaeghe N, Rajalingham R, et al. (2020) A Network Perspective on Sensorimotor Learning. Trends in Neurosciences |
| Tremblay S, Acker L, Afraz A, et al. (2020) An Open Resource for Non-human Primate Optogenetics. Neuron |
| Rajalingham R, Kar K, Sanghavi S, et al. (2020) The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys. Nature Communications. 11: 3886 |
| Rajalingham R, DiCarlo JJ. (2019) Reversible Inactivation of Different Millimeter-Scale Regions of Primate IT Results in Different Patterns of Core Object Recognition Deficits. Neuron |
| Rajalingham R, Kar K, Sanghavi S, et al. (2019) A precursor of reading: Neural responses to letters strings in the untrained primate inferior temporal cortex predict word recognition behavior Journal of Vision. 19: 172b |
| Rajalingham R, Issa EB, Bashivan P, et al. (2018) Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Rajalingham R, Musallam S. (2017) Characterization of neurons in the primate medial intraparietal area reveals a joint representation of intended reach direction and amplitude. Plos One. 12: e0182519 |