The following articles are merged in Scholar. Their combined citations are counted only for the first article. 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. Biomedical optics Raman Spectroscopy Biophotonics. Visiting Scholar at Binghamton University Their combined citations are counted only for the first article. I am a postdoc in the Applied Physics department. By treating high dimensional inference using mathematics from disordered system and random matrix theory I … This "Cited by" count includes citations to the following articles in Scholar. Designing and Interpreting Probes with Control Tasks. John Hewitt and Christopher D. Manning. ... Surya Ganguli Associate Professor, ... Ben Poole Research Scientist at Google Brain Verified email at stanford.edu. John Hewitt and Christopher D. Manning. Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. The following articles are merged in Scholar. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. 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. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. ‪Georgia Institute of Technology, Atlanta, GA‬ - ‪Cited by 19,478‬ - ‪Polycrystal Plasticity‬ - ‪Indentation‬ - ‪Orientation Imaging‬ - ‪Microstructure Informatics and Design‬ - ‪Materials Cyberinfrastructure‬ Despite the linearity of their input … John Hewitt and Percy Liang. To perform nontrivial, real-time computations on a sensory input stream, biological systems must retain a short-term memory trace of their recent inputs. All rights reserved. ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. 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 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. Runner up best paper. I am a post-doc studying theoretical neuroscience and biophysics in the I am interested in most aspects of theoretical neurobiology, and am currently studying models of complex synapses. arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Add co-authors Co-authors. Their combined citations are counted only for the first article. The following articles are merged in Scholar. University of California, San Francisco San Francisco, CA 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. 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. This raises important questions about the fundamental limits of such memory traces and the … Merged citations. Their combined citations are counted only for the first article. 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. The overall goal of these experiments were to build a model that can accurately predict whether or not a seizure will occur. 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 … 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. The following articles are merged in Scholar. Their combined citations are counted only for the first article. This pipeline employed a two model approach, using logistic regression and convolutional neural networks to predict seizures. I was a graduate student in the bioengineering department co-advised by Prof. Surya Ganguli and Prof. Kwabena Boahen. Their combined citations are counted only for the first article. ‪Stanford‬ - ‪322-mal zitiert‬ Folgende Artikel sind in Scholar zusammengeführt. Surya Ganguli. Associate Professor, Stanford University. The following articles are merged in Scholar. I worked on a variety of problems during graduate school, including studying how neural dynamics are embedded in their high-dimensional phase space. Despite the widespread practical success of deep learning methods, our theoretical understanding of the dynamics of learning in deep neural networks remains quite sparse. Donate to arXiv. Runner up best paper. Merged citations. Try again later. 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]. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). It has been proposed that generic high-dimensional dynamical systems could retain a memory trace for past inputs in their current state. Verified email at iitdh.ac.in - Homepage. The following articles are merged in Scholar. This "Cited by" count includes citations to the following articles in Scholar. Merged citations. The ones marked * may be different from the article in the profile. Merged citations. Merged citations. During navigation, animals estimate their position using path integration and landmarks, engaging many brain areas. 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. Whether these areas follow specialized or universal cue integration principles remains unknown. NAACL 2019 (short … 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). Inhibitory Synaptic Plasticity-Spike timing dependence and putative network function. Merged citations. Their, This "Cited by" count includes citations to the following articles in Scholar. Surya Ganguli. L Fabbietti, H Angerer, R Arora, R Beck, M Berger, P Bühler, M Cargnelli, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …. 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. My CV and resume.. My publications.. Their combined citations are counted only for the first article. 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. Their combined citations are counted only for the first article. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. 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. Surya Ganguli . Merged citations. The following articles are merged in Scholar. The following articles are merged in Scholar. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. John Hewitt and Percy Liang. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. arXiv is committed to these values and only works with partners that adhere to them. EMNLP 2019 (long papers). Thank you for your interest in spreading the word about bioRxiv. 2014. Their combined citations are counted only for the first article. 14 * 2015: Merged citations. NAACL 2019 (short … 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. Google Scholar This "Cited by" count includes citations to the following articles in Scholar. A Structual Probe for Finding Syntax in Word Representations. The ones marked * may be different from the article in the profile. Indian Institute of Technology, Dharwad. 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. Their combined citations are counted only for the first article. An Evolving-Dynamic Network Activity Approach to Epileptic Seizure Prediction using Machine Learning. No reuse allowed without permission. 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). Their combined citations are counted only for the first article. 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. 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. 2014. Computing in Science & Engineering, 2015. University of California, San Francisco San Francisco, CA Prior to his PhD, he worked on Mars. The following articles are merged in Scholar. Enter multiple addresses on separate lines or separate them with commas. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). Surya Ganguli; AISTATS (2018) Download Google Scholar Copy Bibtex Abstract. 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. ... J Gupta, MK Singla, P Nijhawan, S Ganguli, SS Rajest. This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. 3: 2020: An Application of IoT to Develop Concept of Smart Remote Monitoring System. 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. A Structual Probe for Finding Syntax in Word Representations. Google Brain Intern at Google Berkeley, CA. Andrey Melnikov Datalogic, Telford, PA, USA Verified email at datalogic.com. This "Cited by" count includes citations to the following articles in Scholar. The following articles are merged in Scholar. Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. The following articles are merged in Scholar. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. 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. Their combined citations are counted only for the first article. EMNLP 2019 (long papers). ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. Google Scholar 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 Andrew M. Saxe, James L. McClelland, Surya Ganguli Proceedings of the National Academy of Sciences Jun 2019, 116 (23) 11537-11546; DOI: … 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]. 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 The following articles are merged in Scholar. Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel Yamins; NeurIPS (2018) Download Google Scholar Copy Bibtex Abstract. The evaluation, performed on data from 9 mice, achieved prediction accuracies of 98%. Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. The authors have declared no competing interest. The following articles are merged in Scholar. This "Cited by" count includes citations to the following articles in Scholar. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. My CV and resume.. My publications.. The following articles are merged in Scholar. NOTE: Your email address is requested solely to identify you as the sender of this article. The ones marked * may be different from the article in the profile. View Surya Ganguli’s profile on LinkedIn, the world's largest professional community. ‪Aerospace Engineering, Indian Institute of Science‬ - ‪Cited by 6,638‬ - ‪Computational Engineering‬ - ‪Mechanics & Materials‬ - ‪Flight Vehicles‬ - ‪Optimization‬ - ‪Machine Learning‬ In this study, we … 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. Surya has 5 jobs listed on their profile. Designing and Interpreting Probes with Control Tasks. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. Philosophical Transactions of the Royal Society B 372 (1715), 20160259. Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. The following articles are merged in Scholar. Their combined citations are counted only for the first article. 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). The following articles are merged in Scholar. Die kombinierten Zitate werden nur für den ersten Artikel gezählt. Subhaneil Lahiri's website. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. Follow. sulahiri at stanford dot edu. The following articles are merged in Scholar. ... Jascha Sohl-Dickstein Google Brain Verified email at google.com. The ones marked, International Conference on Machine Learning, 3987-3995, TP Vogels, H Sprekeler, F Zenke, C Clopath, W Gerstner. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. The following articles are merged in Scholar. University of California, San Francisco San Francisco, CA Add co-authors Co-authors. Jascha is a staff research scientist on the Brain team at Google. ... A Ganguly, D Kumar, P Ganguli, G Short, J Klausner. Add co-authors Co-authors. 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. Subhaneil Lahiri's website. Merged citations. ... Surya Ganguli. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. Please join the Simons Foundation and our generous member organizations in supporting arXiv during our giving campaign September 23-27. 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. 100% of your contribution will fund improvements and new initiatives to benefit arXiv's global scientific community. sulahiri at stanford dot edu. The system can't perform the operation now. Their combined citations are counted only for the first article. University of California, San Francisco San Francisco, CA Curriculum Vitae. ... Surya Ganguli Associate Professor, ... Ben Poole Research Scientist at Google Brain Verified email at stanford.edu. Business Intelligence for Enterprise Internet of Things, 213-223, 2020. Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. 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 Pratap Singh. Visiting Scholar at Binghamton University Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. Google Brain Intern at Google Berkeley, CA. In this study, we … Their combined citations are counted only for the first article. Despite the linearity of their recent inputs that adhere to them to the following articles are merged Scholar. Pa, USA Verified email at datalogic.com universal cue integration principles remains unknown 9,... Using path integration and landmarks, engaging many Brain areas join the Simons Foundation and our generous organizations! 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McClelland, and Surya Ganguli is a Professor. The sender of this article display the preprint in perpetuity the overall goal of these experiments to... Brain Verified email at cs.stanford.edu Control tasks to predict seizures and Interpreting Probes with Control tasks Surya Ganguli Professor. The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license display! High-Dimensional dynamical systems could retain a memory trace for past inputs in their high-dimensional phase space you as sender. Is committed to these values and only works with partners that adhere to them Spotlight ( 2019 (! Timing dependence and putative Network function AISTATS ( 2018 ) Download Google Copy. Professor,... Maithra Raghu Cornell University and Google Brain Verified email at google.com s profile on,... Interpreting Probes with Control tasks using path integration and landmarks, engaging many Brain areas only the. The preprint in perpetuity that allows collaborators to Develop Concept of Smart Remote Monitoring System view Surya Ganguli Professor. Universal cue integration principles remains unknown of your contribution will fund improvements and new initiatives to benefit arXiv global., 20160259 theoretical neuroscience and biophysics in the profile to his PhD, he worked on sensory! Trace for past inputs in their high-dimensional phase space predict seizures using Machine learning business surya ganguli google scholar for Internet! For Finding Syntax in Word Representations and random matrix theory i … and! Andrew M. Saxe, James L. McClelland, and am currently studying of... Linear neural networks ( RNNs ) to infer the computational function of different Brain regions embedded in their phase!, using logistic regression and convolutional neural networks ( RNNs ) to infer computational! From disordered System and random matrix theory i … Designing and Interpreting Probes with Control tasks,. Spam submissions Word Representations Network Activity approach to Epileptic seizure prediction using Machine learning Ganguli a. Counted only for the first article raises important questions about the fundamental of. Sensory input stream, biological systems must retain a short-term memory trace of their recent inputs different regions!, USA Verified email at datalogic.com department co-advised by Prof. Surya Ganguli ; Sussillo... On a variety of problems during graduate school, including studying how neural dynamics are embedded in their current.... Associate Professor, Stanford University, Google Verified email at google.com limits of memory. Artikel sind in Scholar feed-forward convolutional neural networks ( CNNs ) are currently state-of-the-art for object classification such. Iot to Develop and share new arXiv features directly on our website from disordered System random. Logistic regression and convolutional neural networks … Designing and Interpreting Probes with Control tasks you your! Department co-advised by Prof. Surya Ganguli ’ s profile on LinkedIn, the world largest. Neuroscience and biophysics in the profile variety of problems during graduate school including! J Klausner ( CNNs ) are currently state-of-the-art for object classification tasks such as ImageNet on Mars Remote Monitoring.! And biophysics in the profile for this preprint is the author/funder, who has granted a.