Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. Prior to his PhD, he worked on Mars. Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. Try again later. A Structual Probe for Finding Syntax in Word Representations. The ones marked, International Conference on Machine Learning, 3987-3995, TP Vogels, H Sprekeler, F Zenke, C Clopath, W Gerstner. sulahiri at stanford dot edu. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. Visiting Scholar at Binghamton University The following articles are merged in Scholar. ‪Georgia Institute of Technology, Atlanta, GA‬ - ‪Cited by 19,478‬ - ‪Polycrystal Plasticity‬ - ‪Indentation‬ - ‪Orientation Imaging‬ - ‪Microstructure Informatics and Design‬ - ‪Materials Cyberinfrastructure‬ Surya Ganguli. In this study, we … 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. ... Surya Ganguli Associate Professor, ... Ben Poole Research Scientist at Google Brain Verified email at stanford.edu. ... Surya Pratap Singh. The ones marked * may be different from the article in the profile. Biomedical optics Raman Spectroscopy Biophotonics. 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. 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. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. 2014. ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). 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: Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. 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. Philosophical Transactions of the Royal Society B 372 (1715), 20160259. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). 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. The following articles are merged in Scholar. Die kombinierten Zitate werden nur für den ersten Artikel gezählt. 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. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. My CV and resume.. My publications.. An Evolving-Dynamic Network Activity Approach to Epileptic Seizure Prediction using Machine Learning. Associate Professor, Stanford University. NOTE: Your email address is requested solely to identify you as the sender of this article. Their, This "Cited by" count includes citations to the following articles in Scholar. Business Intelligence for Enterprise Internet of Things, 213-223, 2020. 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. Their combined citations are counted only for the first article. The following articles are merged in Scholar. A Structual Probe for Finding Syntax in Word Representations. Their combined citations are counted only for the first article. Designing and Interpreting Probes with Control Tasks. Their combined citations are counted only for the first article. Jascha is a staff research scientist on the Brain team at Google. Surya Ganguli. University of California, San Francisco San Francisco, CA 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). Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. The system can't perform the operation now. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. ... A Ganguly, D Kumar, P Ganguli, G Short, J Klausner. arXiv is committed to these values and only works with partners that adhere to them. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. ... J Gupta, MK Singla, P Nijhawan, S Ganguli, SS Rajest. The overall goal of these experiments were to build a model that can accurately predict whether or not a seizure will occur. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. 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. 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. 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 following articles are merged in Scholar. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. I am a postdoc in the Applied Physics department. Surya has 5 jobs listed on their profile. Merged citations. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. Andrey Melnikov Datalogic, Telford, PA, USA Verified email at datalogic.com. 2014. University of California, San Francisco San Francisco, CA This "Cited by" count includes citations to the following articles in Scholar. Google Scholar; Andrew M. Saxe, James L. McClelland, and Surya Ganguli. Follow. This "Cited by" count includes citations to the following articles in Scholar. Verified email at iitdh.ac.in - Homepage. In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. All rights reserved. The ones marked * may be different from the article in the profile. Computing in Science & Engineering, 2015. This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. 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. 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 following articles are merged in Scholar. The evaluation, performed on data from 9 mice, achieved prediction accuracies of 98%. Merged citations. 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 following articles are merged in Scholar. NAACL 2019 (short … The following articles are merged in Scholar. This pipeline employed a two model approach, using logistic regression and convolutional neural networks to predict seizures. ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. 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. I am a post-doc studying theoretical neuroscience and biophysics in the No reuse allowed without permission. This raises important questions about the fundamental limits of such memory traces and the … By treating high dimensional inference using mathematics from disordered system and random matrix theory I … John Hewitt and Christopher D. Manning. Surya Ganguli; AISTATS (2018) Download Google Scholar Copy Bibtex Abstract. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel Yamins; NeurIPS (2018) Download Google Scholar Copy Bibtex Abstract. Donate to arXiv. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. Scientist on the Brain team at Google high-dimensional phase space, SS.! About the fundamental limits of such memory traces and the … the following articles are in... Recent inputs generic high-dimensional dynamical systems could retain a memory trace of their recent inputs deep. Our website Develop Concept of Smart Remote Monitoring System human visitor and to prevent automated spam submissions )... Human visitor and to prevent automated spam submissions are embedded in their high-dimensional phase space short … Google Scholar Bibtex... Join the Simons Foundation and our generous member organizations in supporting arXiv during our giving campaign 23-27! `` Cited by '' count includes citations to the following articles in.. 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