Kanaka Rajan
Kanaka Rajan
Assistant Professor, Mount Sinai
Verified email at mssm.edu
Title
Cited by
Cited by
Year
Neural network dynamics
TP Vogels, K Rajan, LF Abbott
Annu. Rev. Neurosci. 28, 357-376, 2005
4922005
Eigenvalue spectra of random matrices for neural networks
K Rajan, LF Abbott
Physical review letters 97 (18), 188104, 2006
2582006
Stimulus-dependent suppression of chaos in recurrent neural networks
K Rajan, LF Abbott, H Sompolinsky
Physical Review E 82 (1), 011903, 2010
1942010
Recurrent Network Models of Sequence Generation and Memory
K Rajan, CD Harvey, DW Tank
Neuron 90, 1-15, 2016
1792016
Interactions between intrinsic and stimulus-evoked activity in recurrent neural networks
LF Abbott, K Rajan, H Sompolinsky
The dynamic brain: an exploration of neuronal variability and its functional …, 2011
542011
full-FORCE: A target-based method for training recurrent networks
B DePasquale, CJ Cueva, K Rajan, GS Escola, LF Abbott
PloS one 13 (2), e0191527, 2018
512018
Neuronal dynamics regulating brain and behavioral state transitions
AS Andalman, VM Burns, M Lovett-Barron, M Broxton, B Poole, SJ Yang, ...
Cell 177 (4), 970-985. e20, 2019
492019
Task-dependent changes in the large-scale dynamics and necessity of cortical regions
L Pinto, K Rajan, B DePasquale, SY Thiberge, DW Tank, CD Brody
Neuron 104 (4), 810-824. e9, 2019
372019
Maximally informative “stimulus energies” in the analysis of neural responses to natural signals
K Rajan, W Bialek
PloS one 8 (11), e71959, 2013
282013
Learning quadratic receptive fields from neural responses to natural stimuli
K Rajan, O Marre, G Tkačik
Neural computation 25 (7), 1661-1692, 2013
272013
Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons
MN Insanally, I Carcea, RE Field, CC Rodgers, B DePasquale, K Rajan, ...
Elife 8, e42409, 2019
162019
The dynamic brain: an exploration of neuronal variability and its functional significance
M Ding, D Glanzman
Oxford University Press, USA, 2011
152011
Inferring stimulus selectivity from the spatial structure of neural network dynamics
K Rajan, L Abbott, H Sompolinsky
Advances in Neural Information Processing Systems, 1975-1983, 2010
132010
Temperature-compensated chemical reactions
K Rajan, LF Abbott
Physical Review E 75 (2), 022902, 2007
102007
How to study the neural mechanisms of multiple tasks
GR Yang, MW Cole, K Rajan
Current opinion in behavioral sciences 29, 134-143, 2019
82019
Stimulus-dependent suppression of intrinsic variability in recurrent neural networks
K Rajan, LF Abbott, H Sompolinsky
BMC Neuroscience 11 (1), 1-2, 2010
62010
What do random matrices tell us about the brain
K Rajan
Grace Hopper Celebration of Women in Computing, published by the Anita Borg …, 2010
52010
Spontaneous and stimulus-driven network dynamics
K Rajan
Columbia University, 2009
52009
Nominally non-responsive frontal and sensory cortical cells encode task-relevant variables via ensemble consensus-building
MN Insanally, I Carcea, RE Field, CC Rodgers, B DePasquale, K Rajan, ...
bioRxiv, 347617, 2018
32018
Input-Dependent Suppression of Chaos in Recurrent Neural Networks
K Rajan, LF Abbott, H Sompolinsky
APS 2010, V10. 003, 2010
12010
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