Surya Ganguli; AISTATS (2018) Download Google Scholar Copy Bibtex Abstract. 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). University of California, San Francisco San Francisco, CA Surya has 5 jobs listed on their profile. My CV and resume.. My publications.. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. ... Surya Ganguli Associate Professor, ... Ben Poole Research Scientist at Google Brain Verified email at stanford.edu. Merged citations. ... Surya Ganguli Associate Professor, ... Maithra Raghu Cornell University and Google Brain Verified email at google.com. Their, This "Cited by" count includes citations to the following articles in Scholar. During navigation, animals estimate their position using path integration and landmarks, engaging many brain areas. Subhaneil Lahiri's website. 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 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 This "Cited by" count includes citations to the following articles in Scholar. Their combined citations are counted only for the first article. The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. 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. 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. 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. EMNLP 2019 (long papers). The following articles are merged in Scholar. Business Intelligence for Enterprise Internet of Things, 213-223, 2020. The system can't perform the operation now. Subhaneil Lahiri's website. 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]. Thank you for your interest in spreading the word about bioRxiv. Merged citations. This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Designing and Interpreting Probes with Control Tasks. University of California, San Francisco San Francisco, CA John Hewitt and Christopher D. Manning. ... Surya Ganguli Associate Professor, Stanford University Verified email at stanford.edu. John Hewitt and Percy Liang. No reuse allowed without permission. Their combined citations are counted only for the first article. 2014. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. The overall goal of these experiments were to build a model that can accurately predict whether or not a seizure will occur. By treating high dimensional inference using mathematics from disordered system and random matrix theory I … ‪Stanford‬ - ‪322-mal zitiert‬ Folgende Artikel sind in Scholar zusammengeführt. 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 … In this study, we … Biomedical optics Raman Spectroscopy Biophotonics. Jascha is a staff research scientist on the Brain team at Google. John Hewitt and Christopher D. Manning. sulahiri at stanford dot edu. Curriculum Vitae. 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. Enter multiple addresses on separate lines or separate them with commas. An Evolving-Dynamic Network Activity Approach to Epileptic Seizure Prediction using Machine Learning. The following articles are merged in Scholar. I am a post-doc studying theoretical neuroscience and biophysics in the 100% of your contribution will fund improvements and new initiatives to benefit arXiv's global scientific community. ‪Georgia Institute of Technology, Atlanta, GA‬ - ‪Cited by 19,478‬ - ‪Polycrystal Plasticity‬ - ‪Indentation‬ - ‪Orientation Imaging‬ - ‪Microstructure Informatics and Design‬ - ‪Materials Cyberinfrastructure‬ Merged citations. NAACL 2019 (short … This "Cited by" count includes citations to the following articles in Scholar. The following articles are merged in Scholar. The following articles are merged in Scholar. The following articles are merged in Scholar. The following articles are merged in Scholar. Follow. Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. Indian Institute of Technology, Dharwad. A Structual Probe for Finding Syntax in Word Representations. ... Surya Ganguli. Their combined citations are counted only for the first article. Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel Yamins; NeurIPS (2018) Download Google Scholar Copy Bibtex Abstract. 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. Merged citations. Surya Ganguli; David Sussillo; NeurIPS Spotlight (2019) (to appear) Google Scholar Copy Bibtex Abstract. 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. arXiv is committed to these values and only works with partners that adhere to them. Despite the widespread practical success of deep learning methods, our theoretical understanding of the dynamics of learning in deep neural networks remains quite sparse. I am interested in most aspects of theoretical neurobiology, and am currently studying models of complex synapses. The authors have declared no competing interest. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. I worked on a variety of problems during graduate school, including studying how neural dynamics are embedded in their high-dimensional phase space. This "Cited by" count includes citations to the following articles in Scholar. The following articles are merged in Scholar. 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. EMNLP 2019 (long papers). Designing and Interpreting Probes with Control Tasks. (pdf) (bib) (blog) (code) (codalab) (slides) (talk). Google Scholar Andrey Melnikov Datalogic, Telford, PA, USA Verified email at datalogic.com. Their combined citations are counted only for the first article. 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. ... Chelsea Finn Stanford University, Google Verified email at cs.stanford.edu. Please join the Simons Foundation and our generous member organizations in supporting arXiv during our giving campaign September 23-27. Die kombinierten Zitate werden nur für den ersten Artikel gezählt. My CV and resume.. My publications.. Try again later. Associate Professor, Stanford University. 3: 2020: An Application of IoT to Develop Concept of Smart Remote Monitoring System. 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. Google Brain Intern at Google Berkeley, CA. Many recent studies have employed task-based modeling with recurrent neural networks (RNNs) to infer the computational function of different brain regions. Google Scholar ... Jascha Sohl-Dickstein Google Brain Verified email at google.com. Their combined citations are counted only for the first article. In this study, we … Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. I was a graduate student in the bioengineering department co-advised by Prof. Surya Ganguli and Prof. Kwabena Boahen. 2014. It has been proposed that generic high-dimensional dynamical systems could retain a memory trace for past inputs in their current state. Epilepsy is commonly studied through the use of the electroencephalogram (EEG), a device that monitors brain waves over time. Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. 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. A device that monitors Brain waves over time... Ben Poole Research Scientist at Google Brain Verified email at.... During our giving campaign September 23-27, biological systems must retain a short-term memory for! Pdf ) ( to appear ) Google Scholar Copy Bibtex Abstract granted bioRxiv a license to display preprint. 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