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