Kanaka Rajan

Columbia University, New York, NY 
Computational neuroscience
"Kanaka Rajan"
Mean distance: 14.07 (cluster 17)
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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
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