Neural network dynamics TP Vogels, K Rajan, LF Abbott Annu. Rev. Neurosci. 28 (1), 357-376, 2005 | 633 | 2005 |
Eigenvalue spectra of random matrices for neural networks K Rajan, LF Abbott Physical review letters 97 (18), 188104, 2006 | 380 | 2006 |
Recurrent Network Models of Sequence Generation and Memory K Rajan, CD Harvey, DW Tank Neuron 90, 1-15, 2016 | 356 | 2016 |
Stimulus-dependent suppression of chaos in recurrent neural networks K Rajan, LF Abbott, H Sompolinsky Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 82 (1 …, 2010 | 291 | 2010 |
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 | 217 | 2019 |
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 | 208 | 2019 |
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 | 154 | 2018 |
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 | 95 | 2011 |
The dynamic brain: an exploration of neuronal variability and its functional significance M Ding, D Glanzman Oxford University Press, 2011 | 67 | 2011 |
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 | 61 | 2019 |
Rethinking brain-wide interactions through multi-region ‘network of networks’ models MG Perich, K Rajan Current opinion in neurobiology 65, 146-151, 2020 | 60 | 2020 |
How to study the neural mechanisms of multiple tasks GR Yang, MW Cole, K Rajan Current opinion in behavioral sciences 29, 134-143, 2019 | 51 | 2019 |
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 | 42 | 2021 |
Minian, an open-source miniscope analysis pipeline Z Dong, W Mau, Y Feng, ZT Pennington, L Chen, Y Zaki, K Rajan, ... Elife 11, e70661, 2022 | 39 | 2022 |
Maximally informative “stimulus energies” in the analysis of neural responses to natural signals K Rajan, W Bialek PloS one 8 (11), e71959, 2013 | 34 | 2013 |
Learning quadratic receptive fields from neural responses to natural stimuli K Rajan, O Marre, G Tkačik Neural computation 25 (7), 1661-1692, 2013 | 32 | 2013 |
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 | 25 | 2010 |
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), 7482, 2021 | 17 | 2021 |
Curriculum learning as a tool to uncover learning principles in the brain D Kepple, R Engelken, K Rajan International Conference on Learning Representations, 2022 | 16 | 2022 |
Noise Suppression in speech signals using Adaptive algorithms TL Kumar, KS Rajan International Journal of Engineering Research and Applications 2 (1), 718-721, 2012 | 13 | 2012 |