Year |
Citation |
Score |
2023 |
Nayebi A, Rajalingham R, Jazayeri M, Yang GR. Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes. Arxiv. PMID 37292459 |
0.579 |
|
2022 |
Rajalingham R, Piccato A, Jazayeri M. Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task. Nature Communications. 13: 5865. PMID 36195614 DOI: 10.1038/s41467-022-33581-6 |
0.593 |
|
2021 |
Rajalingham R, Sorenson M, Azadi R, Bohn S, DiCarlo JJ, Afraz A. Chronically implantable LED arrays for behavioral optogenetics in primates. Nature Methods. PMID 34462591 DOI: 10.1038/s41592-021-01238-9 |
0.738 |
|
2020 |
Sohn H, Meirhaeghe N, Rajalingham R, Jazayeri M. A Network Perspective on Sensorimotor Learning. Trends in Neurosciences. PMID 33349476 DOI: 10.1016/j.tins.2020.11.007 |
0.665 |
|
2020 |
Tremblay S, Acker L, Afraz A, Albaugh DL, Amita H, Andrei AR, Angelucci A, Aschner A, Balan PF, Basso MA, Benvenuti G, Bohlen MO, Caiola MJ, Calcedo R, Cavanaugh J, ... ... Rajalingham R, et al. An Open Resource for Non-human Primate Optogenetics. Neuron. PMID 33080229 DOI: 10.1016/j.neuron.2020.09.027 |
0.6 |
|
2020 |
Rajalingham R, Kar K, Sanghavi S, Dehaene S, DiCarlo JJ. The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys. Nature Communications. 11: 3886. PMID 32753603 DOI: 10.1038/S41467-020-17714-3 |
0.718 |
|
2019 |
Rajalingham R, DiCarlo JJ. Reversible Inactivation of Different Millimeter-Scale Regions of Primate IT Results in Different Patterns of Core Object Recognition Deficits. Neuron. PMID 30878289 DOI: 10.1016/J.Neuron.2019.02.001 |
0.621 |
|
2019 |
Rajalingham R, Kar K, Sanghavi S, Dehaene S, DiCarlo JJ. 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. DOI: 10.1167/19.10.172B |
0.694 |
|
2018 |
Rajalingham R, Issa EB, Bashivan P, Kar K, Schmidt K, DiCarlo JJ. 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. PMID 30006365 DOI: 10.1523/Jneurosci.0388-18.2018 |
0.655 |
|
2017 |
Rajalingham R, Musallam S. Characterization of neurons in the primate medial intraparietal area reveals a joint representation of intended reach direction and amplitude. Plos One. 12: e0182519. PMID 28793351 DOI: 10.1371/Journal.Pone.0182519 |
0.652 |
|
2015 |
Rajalingham R, Schmidt K, DiCarlo JJ. Comparison of Object Recognition Behavior in Human and Monkey. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 12127-36. PMID 26338324 DOI: 10.1167/14.10.191 |
0.668 |
|
2015 |
Bylinskii Z, DeGennaro EM, Rajalingham R, Ruda H, Zhang J, Tsotsos JK. Towards the quantitative evaluation of visual attention models. Vision Research. PMID 25951756 DOI: 10.1016/J.Visres.2015.04.007 |
0.366 |
|
2014 |
Rajalingham R, Stacey RG, Tsoulfas G, Musallam S. Modulation of neural activity by reward in medial intraparietal cortex is sensitive to temporal sequence of reward. Journal of Neurophysiology. 112: 1775-89. PMID 25008408 DOI: 10.1152/Jn.00533.2012 |
0.665 |
|
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