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 mentorLarry F. Abbott | grad student | Columbia | |
William Bialek | post-doc | Priceton University | |
David W. Tank | post-doc | Priceton University |
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Publications
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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 |
Insanally MN, Carcea I, Field RE, et al. (2019) Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons. Elife. 8 |
DePasquale B, Cueva CJ, Rajan K, et al. (2018) full-FORCE: A target-based method for training recurrent networks. Plos One. 13: e0191527 |
Rajan K, Harvey CD, Tank DW. (2016) Recurrent Network Models of Sequence Generation and Memory. Neuron |
Rajan K, Bialek W. (2013) Maximally informative "stimulus energies" in the analysis of neural responses to natural signals. Plos One. 8: e71959 |
Rajan K, Marre O, Tka?ik G. (2013) Learning quadratic receptive fields from neural responses to natural stimuli. Neural Computation. 25: 1661-92 |
Dass S, Holi MS, Rajan KS. (2013) Comparative study of the brainstem auditory evoked responses in infants and adults International Conference On Communication and Signal Processing, Iccsp 2013 - Proceedings. 372-376 |
Abbott LF, Rajan K, Sompolinsky H. (2011) Interactions between Intrinsic and Stimulus-Evoked Activity in Recurrent Neural Networks The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance |