Kanaka Rajan, PhD

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L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorVerifisert e-postadresse på columbia.edu
Brian DePasqualeAssistant Professor, Boston UniversityVerifisert e-postadresse på bu.edu
Haim SompolinskyProfessor of Molecular and Cellular Biology and of Physics, Harvard UniversityVerifisert e-postadresse på mcb.harvard.edu
David W. TankPrinceton UniversityVerifisert e-postadresse på princeton.edu
Christopher HarveyHarvard Medical SchoolVerifisert e-postadresse på hms.harvard.edu
Robert FroemkeNYU School of MedicineVerifisert e-postadresse på med.nyu.edu
Michele InsanallyNew York UniversityVerifisert e-postadresse på nyu.edu
Tim P. VogelsInstitute of Science and Technology, AustriaVerifisert e-postadresse på ist.ac.at
Badr F. AlbannaProfessor of Neuroscience, University of Pittsburgh School of MedicineVerifisert e-postadresse på pitt.edu
Matthew G. PerichAssistant Professor, Université de Montréal and MilaVerifisert e-postadresse på umontreal.ca
Tristan ShumanAssociate Professor, Icahn School of Medicine at Mount SinaiVerifisert e-postadresse på mssm.edu
Denise J. CaiAssociate Professor, Icahn School of Medicine at Mount SinaiVerifisert e-postadresse på mssm.edu
Zachary T PenningtonIcahn School of Medicine at Mount SinaiVerifisert e-postadresse på mssm.edu
Yosif ZakiIcahn School of Medicine at Mount SinaiVerifisert e-postadresse på icahn.mssm.edu
Michael R DeWeeseProfessor of Physics and Neuroscience, University of California at BerkeleyVerifisert e-postadresse på berkeley.edu
Ioana CarceaRutgers Brain Health InstituteVerifisert e-postadresse på rutgers.edu
Peter RudebeckIcahn School of Medicine at Mount SinaiVerifisert e-postadresse på mssm.edu
Megan E YoungProgram-Specific Assistant Professor, University of ToyamaVerifisert e-postadresse på med.u-toyama.ac.jp
Clayton MosherCedars Sinai Medical CenterVerifisert e-postadresse på cshs.org
Aaron AndalmanHelen Hay Whitney Postdoctoral Fellow, Stanford UniversityVerifisert e-postadresse på stanford.edu

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Kanaka Rajan, PhD

Associate Professor, Harvard Medical School

Verifisert e-postadresse på hms.harvard.edu - Startside

computational neuroscience artificial intelligence neural networks random matrix theory


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Neural network dynamics TP Vogels, K Rajan, LF Abbott Annu. Rev. Neurosci. 28 (1), 357-376, 2005	651	2005
Eigenvalue spectra of random matrices for neural networks K Rajan, LF Abbott Physical review letters 97 (18), 188104, 2006	399	2006
Recurrent Network Models of Sequence Generation and Memory K Rajan, CD Harvey, DW Tank Neuron 90, 1-15, 2016	384	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	315	2010
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	249	2019
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	244	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	172	2018
Interactions between intrinsic and stimulus-evoked activity in recurrent neural networks LF Abbott, K Rajan, H Sompolinsky arXiv preprint arXiv:0912.3832, 2009	102	2009
The dynamic brain: an exploration of neuronal variability and its functional significance M Ding, D Glanzman Oxford University Press, 2011	81	2011
Rethinking brain-wide interactions through multi-region ‘network of networks’ models MG Perich, K Rajan Current opinion in neurobiology 65, 146-151, 2020	76	2020
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	67	2019
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	66	2022
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	59	2021
How to study the neural mechanisms of multiple tasks GR Yang, MW Cole, K Rajan Current opinion in behavioral sciences 29, 134-143, 2019	52	2019
Maximally informative “stimulus energies” in the analysis of neural responses to natural signals K Rajan, W Bialek PloS one 8 (11), e71959, 2013	38	2013
Learning quadratic receptive fields from neural responses to natural stimuli K Rajan, O Marre, G Tkačik Neural computation 25 (7), 1661-1692, 2013	33	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	29	2010
Curriculum learning as a tool to uncover learning principles in the brain D Kepple, R Engelken, K Rajan International Conference on Learning Representations, 2022	20	2022
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	20	2021
Network models to enhance the translational impact of cross-species studies JK Brynildsen, K Rajan, MX Henderson, DS Bassett Nature Reviews Neuroscience 24 (9), 575-588, 2023	15	2023

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