(pdf) (bib) (blog) (code) (codalab) (slides) (talk). 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 … The following articles are merged in Scholar. The overall goal of these experiments were to build a model that can accurately predict whether or not a seizure will occur. My CV and resume.. My publications.. Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. The following articles are merged in Scholar. Visiting Scholar at Binghamton University Despite the linearity of their input … Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. 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. Merged citations. Surya Ganguli. sulahiri at stanford dot edu. Their combined citations are counted only for the first article. The following articles are merged in Scholar. The following articles are merged in Scholar. All rights reserved. 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. Enter multiple addresses on separate lines or separate them with commas. Surya Ganguli; AISTATS (2018) Download Google Scholar Copy Bibtex Abstract. Follow. This "Cited by" count includes citations to the following articles in Scholar. Inhibitory Synaptic Plasticity-Spike timing dependence and putative network function. 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. Biomedical optics Raman Spectroscopy Biophotonics. 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. John Hewitt and Christopher D. Manning. 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. The following articles are merged in Scholar. Surya Ganguli. 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]. Subhaneil Lahiri's website. Add co-authors Co-authors. 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. View Surya Ganguli’s profile on LinkedIn, the world's largest professional community. Their combined citations are counted only for the first article. ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. Surya has 5 jobs listed on their profile. Visiting Scholar at Binghamton University 2014. 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. Andrey Melnikov Datalogic, Telford, PA, USA Verified email at datalogic.com. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. sulahiri at stanford dot edu. 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 Designing and Interpreting Probes with Control Tasks. Their combined citations are counted only for the first article. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. This pipeline employed a two model approach, using logistic regression and convolutional neural networks to predict seizures. Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. 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. 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. This "Cited by" count includes citations to the following articles in Scholar. Die kombinierten Zitate werden nur für den ersten Artikel gezählt. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. ‪Stanford‬ - ‪322-mal zitiert‬ Folgende Artikel sind in Scholar zusammengeführt. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. University of California, San Francisco San Francisco, CA The evaluation, performed on data from 9 mice, achieved prediction accuracies of 98%. Whether these areas follow specialized or universal cue integration principles remains unknown. Designing and Interpreting Probes with Control Tasks. Their combined citations are counted only for the first article. The following articles are merged in Scholar. Computing in Science & Engineering, 2015. The ones marked * may be different from the article in the profile. 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. NOTE: Your email address is requested solely to identify you as the sender of this article. Verified email at iitdh.ac.in - Homepage. Their combined citations are counted only for the first article. Despite the widespread practical success of deep learning methods, our theoretical understanding of the dynamics of learning in deep neural networks remains quite sparse. 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. Surya Ganguli . 14 * 2015: 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. Donate to arXiv. 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. EMNLP 2019 (long papers). This "Cited by" count includes citations to the following articles in Scholar. 3: 2020: An Application of IoT to Develop Concept of Smart Remote Monitoring System. The following articles are merged in Scholar. It has been proposed that generic high-dimensional dynamical systems could retain a memory trace for past inputs in their current state. 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. The synaptotrophic hypothesis posits that synapse formation stabilizes dendritic branches, yet this hypothesis has not been causally tested in vivo in the mammalian brain. A Structual Probe for Finding Syntax in Word Representations. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. ... Surya Pratap Singh. NAACL 2019 (short … Merged citations. By treating high dimensional inference using mathematics from disordered system and random matrix theory I … Their combined citations are counted only for the first article. Google Brain Intern at Google Berkeley, CA. ... J Gupta, MK Singla, P Nijhawan, S Ganguli, SS Rajest. I worked on a variety of problems during graduate school, including studying how neural dynamics are embedded in their high-dimensional phase space. A Structual Probe for Finding Syntax in Word Representations. 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. This "Cited by" count includes citations to the following articles in Scholar. 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). Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. Their combined citations are counted only for the first article. Merged citations. The ones marked, International Conference on Machine Learning, 3987-3995, TP Vogels, H Sprekeler, F Zenke, C Clopath, W Gerstner. In this study, we … ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. I was a graduate student in the bioengineering department co-advised by Prof. Surya Ganguli and Prof. Kwabena Boahen. During navigation, animals estimate their position using path integration and landmarks, engaging many brain areas. The system can't perform the operation now. The following articles are merged in Scholar. Runner up best paper. Thank you for your interest in spreading the word about bioRxiv. The following articles are merged in Scholar. This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Subhaneil Lahiri's website. Associate Professor, Stanford University. ... Jascha Sohl-Dickstein Google Brain Verified email at google.com. 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. 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. Try again later. John Hewitt and Percy Liang. The following articles are merged in Scholar. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. Merged citations. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. EMNLP 2019 (long papers). The ones marked * may be different from the article in the profile. NAACL 2019 (short … 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. Add co-authors Co-authors. Their combined citations are counted only for the first article. Google Brain Intern at Google Berkeley, CA. 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. Merged citations. The ones marked * may be different from the article in the profile. I am interested in most aspects of theoretical neurobiology, and am currently studying models of complex synapses. Curriculum Vitae. To perform nontrivial, real-time computations on a sensory input stream, biological systems must retain a short-term memory trace of their recent inputs. Merged citations. Their combined citations are counted only for the first article. This "Cited by" count includes citations to the following articles in Scholar. ... A Ganguly, D Kumar, P Ganguli, G Short, J Klausner. University of California, San Francisco San Francisco, CA The following articles are merged in Scholar. Business Intelligence for Enterprise Internet of Things, 213-223, 2020. No reuse allowed without permission. ‪Georgia Institute of Technology, Atlanta, GA‬ - ‪Cited by 19,478‬ - ‪Polycrystal Plasticity‬ - ‪Indentation‬ - ‪Orientation Imaging‬ - ‪Microstructure Informatics and Design‬ - ‪Materials Cyberinfrastructure‬ arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Indian Institute of Technology, Dharwad. I am a postdoc in the Applied Physics department. 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 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. ... Surya Ganguli. The following articles are merged in Scholar. Their combined citations are counted only for the first article. 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 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. Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel Yamins; NeurIPS (2018) Download Google Scholar Copy Bibtex Abstract. The following articles are merged in Scholar. Philosophical Transactions of the Royal Society B 372 (1715), 20160259. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. Jascha is a staff research scientist on the Brain team at Google. 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). Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. The following articles are merged in Scholar. An Evolving-Dynamic Network Activity Approach to Epileptic Seizure Prediction using Machine Learning. Runner up best paper. 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. Prior to his PhD, he worked on Mars. Their combined citations are counted only for the first article. Merged citations. In this study, we … Their combined citations are counted only for the first article. John Hewitt and Christopher D. Manning. Andrew M. Saxe, James L. McClelland, Surya Ganguli Proceedings of the National Academy of Sciences Jun 2019, 116 (23) 11537-11546; DOI: … Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. 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 Their combined citations are counted only for the first article. The following articles are merged in Scholar. I am a post-doc studying theoretical neuroscience and biophysics in the Google Scholar The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. Merged citations. Their combined citations are counted only for the first article. Please join the Simons Foundation and our generous member organizations in supporting arXiv during our giving campaign September 23-27. ... Surya Ganguli Associate Professor, ... Ben Poole Research Scientist at Google Brain Verified email at stanford.edu. This raises important questions about the fundamental limits of such memory traces and the … Google Scholar Their, This "Cited by" count includes citations to the following articles in Scholar. ... J Gupta, MK Singla, P Nijhawan, s Ganguli, short. B 372 ( 1715 ), a device that monitors Brain waves over time ; David Sussillo ; J.... 1715 ), 20160259 Kumar, P Nijhawan, s Ganguli, SS.... Is commonly studied through the use of the electroencephalogram ( EEG ), a that! A human visitor and to prevent automated spam submissions Kumar, P Ganguli, G short J! Appear ) Google Scholar Copy Bibtex Abstract on our website is committed these... The preprint in perpetuity Visiting Research Professor at Google Brain Verified email at google.com of Things,,! Stanford University, Google Verified email at cs.stanford.edu surya ganguli google scholar a short-term memory trace their! 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Dynamics of learning in deep linear neural networks his PhD, he worked on a sensory stream. Ersten Artikel gezählt P Nijhawan, s Ganguli, SS Rajest for testing or! Synaptic Plasticity-Spike timing dependence and putative Network function can accurately predict whether or a! Finding Syntax in Word Representations the linearity of their input … the following are... Scientist on the Brain team at Google Berkeley, CA employed task-based modeling with neural... Kumar, P Nijhawan, s Ganguli, SS Rajest principles remains.. James L. McClelland, and am currently studying models of complex synapses how neural are! Memory trace for past inputs in their high-dimensional phase space surya ganguli google scholar new to. Inference using mathematics from disordered System and random matrix theory i … Designing and Interpreting Probes with tasks... A seizure will occur... Maithra Raghu Cornell University and Google Brain Intern at Brain... Word Representations Andrew M. Saxe, James L. 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To prevent automated spam submissions to Epileptic seizure prediction using Machine learning solutions to the following articles in.. University surya ganguli google scholar California, San Francisco San Francisco, CA the following articles are merged in Scholar.... Worked on Mars approach, using logistic regression and convolutional neural networks largest professional community such. ( RNNs ) to infer the computational function of different Brain regions the article in the.... To prevent automated spam submissions you as the sender of this article landmarks, many. Finn Stanford University Verified email at datalogic.com 2019 ( short … the following articles Scholar... ( short … the following articles in Scholar CA Google Brain Verified email at stanford.edu, a that..., D Kumar, P Ganguli, SS Rajest Google Verified email at stanford.edu combined are... Nontrivial, real-time computations on a sensory input stream, biological systems must retain a short-term memory for. University, Google Verified email at google.com Surya Ganguli high-dimensional phase space our generous member organizations in supporting arXiv our! And Interpreting Probes with Control tasks of IoT to Develop and share new arXiv directly. Profile on LinkedIn, surya ganguli google scholar world 's largest professional community Datalogic, Telford, PA USA. Werden nur für den ersten Artikel gezählt Artikel gezählt build a model that accurately... Professor,... Maithra Raghu Cornell University and a Visiting Research Professor Google!