Kanaka Rajan
Affiliations: | Columbia University, New York, NY |
Area:
Computational neuroscienceGoogle:
"Kanaka Rajan"Mean distance: 14.07 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Larry F. Abbott | grad student | Columbia | |
| William Bialek | post-doc | Princeton | |
| David W. Tank | post-doc | Princeton |
Children
Sign in to add trainee| Matthew G. Perich | post-doc | 2020- | Mount Sinai School of Medicine |
| Satpreet Singh | post-doc | 2023-2025 | Harvard |
Collaborators
Sign in to add collaborator| Michele N. Insanally | collaborator | Mount Sinai School of Medicine |
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Publications
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| Insanally MN, Albanna BF, Toth J, et al. (2024) Contributions of cortical neuron firing patterns, synaptic connectivity, and plasticity to task performance. Nature Communications. 15: 6023 |
| Akitake B, Douglas HM, LaFosse PK, et al. (2023) Amplified cortical neural responses as animals learn to use novel activity patterns. Current Biology : Cb |
| Márton CD, Zhou S, Rajan K. (2022) Linking task structure and neural network dynamics. Nature Neuroscience. 25: 679-681 |
| Perich MG, Rajan K. (2020) Rethinking brain-wide interactions through multi-region 'network of networks' models. Current Opinion in Neurobiology. 65: 146-151 |
| Yang GR, Cole MW, Rajan K. (2019) How to study the neural mechanisms of multiple tasks. Current Opinion in Behavioral Sciences. 29: 134-143 |
| Pinto L, Rajan K, DePasquale B, et al. (2019) Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions. Neuron |
| Andalman AS, Burns VM, Lovett-Barron M, et al. (2019) Neuronal Dynamics Regulating Brain and Behavioral State Transitions. Cell |
| Insanally MN, Carcea I, Field RE, et al. (2019) Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons. Elife. 8 |
| Insanally MN, Carcea I, Field RE, et al. (2019) Author response: Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons Elife |
| DePasquale B, Cueva CJ, Rajan K, et al. (2018) full-FORCE: A target-based method for training recurrent networks. Plos One. 13: e0191527 |