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Kanaka Rajan
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Neural network dynamics
TP Vogels, K Rajan, LF Abbott
Annu. Rev. Neurosci. 28, 357-376, 2005
5462005
Eigenvalue spectra of random matrices for neural networks
K Rajan, LF Abbott
Physical review letters 97 (18), 188104, 2006
2952006
Recurrent Network Models of Sequence Generation and Memory
K Rajan, CD Harvey, DW Tank
Neuron 90, 1-15, 2016
2522016
Stimulus-dependent suppression of chaos in recurrent neural networks
K Rajan, LF Abbott, H Sompolinsky
Physical review e 82 (1), 011903, 2010
2352010
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
1052019
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
1032019
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
832018
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
722011
The dynamic brain: an exploration of neuronal variability and its functional significance
M Ding, D Glanzman
Oxford University Press, 2011
412011
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
382019
Maximally informative “stimulus energies” in the analysis of neural responses to natural signals
K Rajan, W Bialek
PloS one 8 (11), e71959, 2013
312013
Learning quadratic receptive fields from neural responses to natural stimuli
K Rajan, O Marre, G Tkačik
Neural computation 25 (7), 1661-1692, 2013
292013
How to study the neural mechanisms of multiple tasks
GR Yang, MW Cole, K Rajan
Current opinion in behavioral sciences 29, 134-143, 2019
192019
Rethinking brain-wide interactions through multi-region ‘network of networks’ models
MG Perich, K Rajan
Current opinion in neurobiology 65, 146-151, 2020
182020
Inferring stimulus selectivity from the spatial structure of neural network dynamics
K Rajan, L Abbott, H Sompolinsky
Advances in Neural Information Processing Systems 23, 2010
182010
Temperature-compensated chemical reactions
K Rajan, LF Abbott
Physical Review E 75 (2), 022902, 2007
102007
Inferring brain-wide interactions using data-constrained recurrent neural network models
MG Perich, C Arlt, S Soares, ME Young, CP Mosher, J Minxha, E Carter, ...
bioRxiv, 2020.12. 18.423348, 2021
82021
Noise Suppression in speech signals using Adaptive algorithms
TL Kumar, KS Rajan
82012
Spontaneous and stimulus-driven network dynamics
K Rajan
Columbia University, 2009
62009
Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordings
ML Martini, AA Valliani, C Sun, AB Costa, S Zhao, F Panov, S Ghatan, ...
Scientific Reports 11 (1), 1-11, 2021
52021
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