This "Cited by" count includes citations to the following articles in Scholar. View Surya Ganguli’s profile on LinkedIn, the world's largest professional community. Merged citations. Ganguli, along with HAI associate director and Stanford Artificial Intelligence Laboratory director Chris Manning, will host the day-long conference, which brings together scholars from all three disciplines to share new research and discuss a path forward for … This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. During my PhD research with Surya Ganguli as a member of the Neural Dynamics and Computation Lab at Stanford University I focused on the developing field of high dimensional statistics, where inference accuracy is hindered by a high dimensional parameter space (the curse of dimensionality). The following articles are merged in Scholar. We attempt to bridge the gap between the theory and practice of deep learning by systematically analyzing learning dynamics for the restricted case of deep linear neural networks. To perform nontrivial, real-time computations on a sensory input stream, biological systems must retain a short-term memory trace of their recent inputs. The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. Designing and Interpreting Probes with Control Tasks. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. Add co-authors Co-authors. Stanislav Fort, Surya Ganguli The local geometry of high dimensional neural network loss landscapes can both challenge our cherished theoretical intuitions as well as dramatically impact the practical success of neural network training. The following articles are merged in Scholar. sulahiri at stanford dot edu. ... Surya Ganguli Associate Professor, ... Ben Poole Research Scientist at Google Brain Verified email at stanford.edu. Entrance channel dependence of quasifission in reactions forming, Hebbian plasticity requires compensatory processes on multiple timescales, Determination of the η′-nucleus optical potential, Inference of neuronal network spike dynamics and topology from calcium imaging data, The temporal paradox of Hebbian learning and homeostatic plasticity, Surrogate gradient learning in spiking neural networks, Limits to high-speed simulations of spiking neural networks using general-purpose computers, Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spiking neural networks, Synaptic consolidation: from synapses to behavioral modeling, Experimental constraints on the ω–nucleus real potential, Specific synaptic input strengths determine the computational properties of excitation–inhibition integration in a sound localization circuit, Emergent neural computation from the interaction of different forms of plasticity. John Hewitt and Christopher D. Manning. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. Presynaptic ligand cerebellin-1 (Cbln1) and postsynaptic receptor GluD2 mediate synaptogenesis between granule cells and Purkinje cells in the molecular layer of the cerebellar cortex. Surya Ganguli. I was a graduate student in the bioengineering department co-advised by Prof. Surya Ganguli and Prof. Kwabena Boahen. Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Surya has 5 jobs listed on their profile. I am interested in most aspects of theoretical neurobiology, and am currently studying models of complex synapses. The ones marked * may be different from the article in the profile. Recent work has shown that tight concentration of the entire spectrum of singular values of a deep network's input-output Jacobian around one at initialization can speed up learning by orders of magnitude. Their combined citations are counted only for the first article. In this study, we … In January 2012, I started as an assistant professor in the Department of Applied Physics at Stanford University, with courtesy appointments in Neurobiology and Electrical Engineering. All rights reserved. The following articles are merged in Scholar. Merged citations. This pipeline employed a two model approach, using logistic regression and convolutional neural networks to predict seizures. Absence epilepsy is a neurological condition characterized by abnormally synchronous electrical activity within two mutually connected brain regions, the thalamus and cortex, that results in seizures and affects more than 6.5 million people. Andrew M. Saxe, James L. McClelland, Surya Ganguli Proceedings of the National Academy of Sciences Jun 2019, 116 (23) 11537-11546; DOI: … Despite the widespread practical success of deep learning methods, our theoretical understanding of the dynamics of learning in deep neural networks remains quite sparse. Thank you for your interest in spreading the word about bioRxiv. ... J Gupta, MK Singla, P Nijhawan, S Ganguli, SS Rajest. Merged citations. It has been proposed that generic high-dimensional dynamical systems could retain a memory trace for past inputs in their current state. The ones marked * may be different from the article in the profile. Merged citations. ‪Stanford‬ - ‪322-mal zitiert‬ Folgende Artikel sind in Scholar zusammengeführt. During navigation, animals estimate their position using path integration and landmarks, engaging many brain areas. Merged citations. Prior to this position he was a visiting scholar in Surya Ganguli's lab at Stanford University, and an academic resident at Khan Academy.He earned his PhD in 2012 in the Redwood Center for Theoretical Neuroscience at UC Berkeley, in Bruno Olshausen's lab. 14 * 2015: Google Scholar These global patterns alter energy metabolism in the brain over seconds to hours, making oxygen consumption and glucose uptake widely used proxies of neural activity[6][3],[7][4]. By treating high dimensional inference using mathematics from disordered system and random matrix theory I … University of California, San Francisco San Francisco, CA Their combined citations are counted only for the first article. 2014. Die kombinierten Zitate werden nur für den ersten Artikel gezählt. Their combined citations are counted only for the first article. Kiah Hardcastle, Surya Ganguli, Lisa M. GiocomoCell types for our sense of location: where we are and where we are going Nature Neurosci, 20 (2017), p. 1474 Google Scholar University of California, San Francisco San Francisco, CA Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. John Hewitt and Percy Liang. Computing in Science & Engineering, 2015. Add co-authors Co-authors. Runner up best paper. NAACL 2019 (short … 2014. This "Cited by" count includes citations to the following articles in Scholar. University of California, San Francisco San Francisco, CA Subhaneil Lahiri's website. The following articles are merged in Scholar. Surya Ganguli; AISTATS (2018) Download Google Scholar Copy Bibtex Abstract. Visiting Scholar at Binghamton University M Nanova, V Metag, EY Paryev, D Bayadilov, B Bantes, R Beck, ... H Lütcke, F Gerhard, F Zenke, W Gerstner, F Helmchen, Current opinion in neurobiology 43, 166-176, IEEE Signal Processing Magazine 36, 61-63, IEEE Signal Processing Magazine 36 (6), 51-63, L Ziegler, F Zenke, DB Kastner, W Gerstner, Journal of Neuroscience 35 (3), 1319-1334. John Hewitt and Percy Liang. 3: 2020: An Application of IoT to Develop Concept of Smart Remote Monitoring System. The following articles are merged in Scholar. Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu ... Google Brain Deep Learning Team Feb 17 to present Visiting Research Professor, 1 day a week. ... Surya Ganguli. This "Cited by" count includes citations to the following articles in Scholar. The following articles are merged in Scholar. Designing and Interpreting Probes with Control Tasks. Business Intelligence for Enterprise Internet of Things, 213-223, 2020. Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. A Structual Probe for Finding Syntax in Word Representations. ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. Biomedical optics Raman Spectroscopy Biophotonics. Their combined citations are counted only for the first article. Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu ... Google Brain Deep Learning Team Feb 17 to Mar 20 Visiting Research Professor, 1 day a week. The following articles are merged in Scholar. Authors: Stanislav Fort, Surya Ganguli Download PDF Abstract: The local geometry of high dimensional neural network loss landscapes can both challenge our cherished theoretical intuitions as well as dramatically impact the practical success of neural network training. Visiting Scholar at Binghamton University The following articles are merged in Scholar. The synaptotrophic hypothesis posits that synapse formation stabilizes dendritic branches, yet this hypothesis has not been causally tested in vivo in the mammalian brain. Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. Whether these areas follow specialized or universal cue integration principles remains unknown. Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. Andrey Melnikov Datalogic, Telford, PA, USA Verified email at datalogic.com. Google Brain Intern at Google Berkeley, CA. Google Scholar Add co-authors Co-authors. Their combined citations are counted only for the first article. The following articles are merged in Scholar. Philosophical Transactions of the Royal Society B 372 (1715), 20160259. Surya Ganguli. The proposed methodology introduces a novel aspect of looking at predicting absence seizures, which are known to be short events, in addition to the comparison between a time-dependent and time-agnostic seizure prediction classifier. I am a post-doc studying theoretical neuroscience and biophysics in the In many experiments, neuroscientists tightly control behavior, record many trials, and obtain trial-averaged firing rates from hundreds of neurons in circuits containing billions of behaviorally relevant neurons. Their combined citations are counted only for the first article. ... A Ganguly, D Kumar, P Ganguli, G Short, J Klausner. Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel Yamins; NeurIPS (2018) Download Google Scholar Copy Bibtex Abstract. Please join the Simons Foundation and our generous member organizations in supporting arXiv during our giving campaign September 23-27. Runner up best paper. My CV and resume.. My publications.. The following articles are merged in Scholar. A Structual Probe for Finding Syntax in Word Representations. 100% of your contribution will fund improvements and new initiatives to benefit arXiv's global scientific community. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. ‪Aerospace Engineering, Indian Institute of Science‬ - ‪Cited by 6,638‬ - ‪Computational Engineering‬ - ‪Mechanics & Materials‬ - ‪Flight Vehicles‬ - ‪Optimization‬ - ‪Machine Learning‬ The overall goal of these experiments were to build a model that can accurately predict whether or not a seizure will occur. This raises important questions about the fundamental limits of such memory traces and the … Absence epilepsy is a neurological condition characterized by abnormally synchronous electrical activity within two mutually connected brain regions, the thalamus and cortex, that results in seizures and affects more than 6.5 million people. ... Surya Pratap Singh. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. The authors have declared no competing interest. ‪Georgia Institute of Technology, Atlanta, GA‬ - ‪Cited by 19,478‬ - ‪Polycrystal Plasticity‬ - ‪Indentation‬ - ‪Orientation Imaging‬ - ‪Microstructure Informatics and Design‬ - ‪Materials Cyberinfrastructure‬ Their combined citations are counted only for the first article. ... Jascha Sohl-Dickstein Google Brain Verified email at google.com. NOTE: Your email address is requested solely to identify you as the sender of this article. Surya Ganguli, Dongsung Huh, Haim Sompolinsky Proceedings of the National Academy of Sciences Dec 2008, 105 (48) 18970-18975; DOI: 10.1073/pnas.0804451105 Share This Article: Copy This "Cited by" count includes citations to the following articles in Scholar. I am a postdoc in the Applied Physics department. Indian Institute of Technology, Dharwad. Despite the linearity of their input … Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. An Evolving-Dynamic Network Activity Approach to Epileptic Seizure Prediction using Machine Learning. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. NAACL 2019 (short … (pdf) (bib) (blog) (code) (codalab) (slides) (talk). ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. The following articles are merged in Scholar. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). L Fabbietti, H Angerer, R Arora, R Beck, M Berger, P Bühler, M Cargnelli, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article ... JE Mates, A Ghosh, R Ganguly, CJ Carmalt, ... ACS applied materials & interfaces 6 (22), 19858-19865, 2014. The following articles are merged in Scholar. The following articles are merged in Scholar. Associate Professor, Stanford University. EMNLP 2019 (long papers). Prior to his PhD, he worked on Mars. S Friedrich, K Makonyi, V Metag, D Bayadilov, B Bantes, R Beck, ... E Gjoni, F Zenke, B Bouhours, R Schneggenburger, The Journal of physiology 596 (20), 4945-4967, Frontiers in computational neuroscience 9, 145, New articles related to this author's research, Professor of Computer Science, EPFL, Brain Mind Institute, Ecole Polytechnique Federale de Lausanne, Institute of Science and Technology, Austria, Assistant Professor, Department of Cognitive Sciences and Department of Computer Science, UC Irvine, Professor de Física, Universidade de São Paulo, Postdoctoral Research Associate, Brown Universitz, Providence, RI, Friedrich Miescher Institute for Biomedical Research, Continual learning through synaptic intelligence, Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks, Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks, Superspike: Supervised learning in multilayer spiking neural networks, Synaptic plasticity in neural networks needs homeostasis with a fast rate detector, A deep learning framework for neuroscience. Merged citations. Curriculum Vitae. In this study, we … ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. University of California, San Francisco San Francisco, CA In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. Inhibitory Synaptic Plasticity-Spike timing dependence and putative network function. Their combined citations are counted only for the first article. Subhaneil Lahiri's website. I worked on a variety of problems during graduate school, including studying how neural dynamics are embedded in their high-dimensional phase space. The following articles are merged in Scholar. arXiv is committed to these values and only works with partners that adhere to them. Merged citations. This "Cited by" count includes citations to the following articles in Scholar. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. Enter multiple addresses on separate lines or separate them with commas. The following articles are merged in Scholar. The ones marked * may be different from the article in the profile. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. The ones marked, International Conference on Machine Learning, 3987-3995, TP Vogels, H Sprekeler, F Zenke, C Clopath, W Gerstner. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. I am a post-doc studying theoretical neuroscience and biophysics in the Ganguli Lab, part of the Ginzton Lab, Department of Applied Physics, Stanford University.I have received funding from a Bio-X Genentech Fellowship and the Swartz Foundation. The following articles are merged in Scholar. sulahiri at stanford dot edu. The evaluation, performed on data from 9 mice, achieved prediction accuracies of 98%. Absence epilepsy is a neurological condition characterized by abnormally synchronous electrical activity within two mutually connected brain regions, the thalamus and cortex, that results in seizures and affects more than 6.5 million people. The following articles are merged in Scholar. Try again later. The system can't perform the operation now. The following articles are merged in Scholar. In this study, we introduced machine learning models to predict epileptic seizures in two ways, one to train logistic regression models to provide an accurate decision boundary to predict based off frequency features, and second to train convolutional neural networks to predict based off spectral power images from EEG. Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu ... Google Brain Deep Learning Team Feb 17 to present Visiting Research Professor, 1 day a week. Their combined citations are counted only for the first article. Merged citations. Their combined citations are counted only for the first article. ... Surya Ganguli Associate Professor, ... Ben Poole Research Scientist at Google Brain Verified email at stanford.edu. Merged citations. Google Brain Intern at Google Berkeley, CA. My CV and resume.. My publications.. Follow. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. Surya Ganguli . Their combined citations are counted only for the first article. No reuse allowed without permission. Surya Ganguli began his academic career as an undergraduate at MIT, triple majoring in mathematics, physics, and electrical engineering and computer science (1998) and then completed his Ph.D. in string theory at University of California, Berkeley (2004). Verified email at iitdh.ac.in - Homepage. Jascha is a staff research scientist on the Brain team at Google. Surya Ganguli Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu ... Google Brain Deep Learning Team Feb 17 to Mar 20 Visiting Research Professor, 1 day a week. During my PhD research with Surya Ganguli as a member of the Neural Dynamics and Computation Lab at Stanford University I focused on the developing field of high dimensional statistics, where inference accuracy is hindered by a high dimensional parameter space (the curse of dimensionality). Donate to arXiv. Coordinated activity across networks of neurons is a hallmark of both resting and active behavioral states in many species, including worms, flies, fish, mice and humans[1][1]–[5][2]. Their, This "Cited by" count includes citations to the following articles in Scholar. Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. 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Campaign September 23-27 committed to these values and only works with partners adhere. Allows collaborators to Develop and share new arXiv features directly on our website kombinierten werden!