Assistant professor of applied physics. M.A. Medical School Hannover Speakers: AI, Psychology, and Neuroscience: The View from DeepMind More information at my website (lanemcintosh.com). Understanding how cellular mechanisms implement theoretical principles of adaptive coding using biophysical models. There are currently two seemingly unrelated frameworks for understanding these patterns. Surya Ganguli. He and his lab study how networks of neurons and synapses cooperate to mediate important brain functions, like sensory perception, motor control and memory. Ganguli is primarily known for his work on neural networks and deep learning, although he has also published papers on theoretical physics.He presently runs the Neural Dynamics and Computation Lab at Stanford, where he aims to reverse engineer how networks of neurons and ⦠Neural Dynamics and Computation Lab About us The last century witnessed the unfolding of a great intellectual adventure, as the collective human mind turned outwards to conceptually reorganize our understanding of space, time, matter and energy, now codified in the theoretical frameworks of quantum mechanics, general relativity, and statistical mechanics. Acknowledgements! Research began through collaboration between the labs of Stanford University Professors Surya Ganguli and Stephen Baccus, the paperâs two senior authors. Before joining the Baccus lab, I was studying the optics of nanolaser and device physics during my Ph.D. in Physics from KAIST, Korea. Contribute to ganguli-lab/website development by creating an account on GitHub. Surya Ganguli is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). I'm a PhD candidate co-advised by Surya Ganguli. Understanding the relationship between statistical models and the biophysics of retinal pathways. The site facilitates research and collaboration in academic endeavors. Surya Ganguli's Lab, Department of Neurosurgery 318 Campus Drive. You signed in with another tab or window. Surya Ganguli Dept of Applied Physics And, by courtesy, Neurobiology Electrical Engineering collaboration with Shenoy Lab Stanford University Peiran Gao Eric Trautmann . "Surya is a Stanford University Assistant Professor in Applied Physics and, by courtesy: Neurobiology; Electrical Engineering and ⦠Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google.Dr. Cannot retrieve contributors at this time, website for the Neural Dynamics and Computation lab, , , , col-xs-5 col-sm-4 col-lg-offset-1 col-lg-3, col-lg-7 col-xs-12 col-sm-8 surya-description, http://www.stanford.edu/dept/app-physics/cgi-bin/, http://www.stanford.edu/dept/app-physics/cgi-bin/person/surya-gangulijanuary-2012/, http://med.stanford.edu/profiles/Surya_Ganguli/, ================================================== -->, . LEADERSHIP LAB: The Craft of Writing Effectively - Duration: 1:21:52. More information at my website (lanemcintosh.com). Stanford, CA 94305-5447. sganguli@stanford.edu. http://www.montana.edu/nnategh/index.html. Ph.D. Neurosciences, Stanford University, B.S. Dr. Ganguli is primarily known for his work on neural networks and deep learning, although he has also published papers on theoretical physics. ... Now, my lab and I are searching for unified principles of computation that apply to both biological and artificial circuits, which could lead to a unification of AI, psychology, neuroscience, and more. Neuroscience, College of William and Mary I'm a graduate student in the Neurosciences program here at Stanford, co-advised by Prof. Surya Ganguli and Prof. Lisa Giocomo. Grid cells in the brain fire in strikingly regular hexagonal patterns across space. Kiah Hardcastle khardcas@stanford.edu. Subhaneli Lahiri! Department of Neurobiology, Stanford University, PhD student, Neuroscience My research focuses on understanding general principles underlying sensory processing, in particular using tools from deep learning and information theory. I have two ongoing research projects. Aran Nayebi PhD student (Neuroscience; joint with Surya Ganguli) Aran is a PhD student in the Neurosciences Graduate Program. Dr. Ganguli, one of four Stanford professors who are lead investigators on collaborative projects with our PHI Lab, is an associate professor in the Department of Applied Physics. I'm a PhD candidate co-advised by Surya Ganguli. Ben Sorscher*, Gabriel C. Mel*, Samuel A. Ocko, Surya Ganguli Code on GitHub. The first consists of optical recording from a population of inhibitory interneurons known as amacrine cells while simultaneously electrically recording from a population of retinal output cells (ganglion cells). Surya Ganguli is a University Professor at Stanford University and a Visiting Research Professor at Google. Currently US citizen. A saturation hypothesis to explain both enhanced and impaired learning with enhanced plasticity. B.A. Ganguli Lab website. Speakers Matthew Wilson, Cristina Savin, and Surya Ganguli. Quantum Physics meets Brain Science on Optical Platform PHI LAB Physics & Informatics Laboratories Our Mission Our mission is to build simple, efficient and practical solvers for real-world problems in our information-intensive society. Mathematics, University of Hawaii. not sure what I will say yet :)) 40d And then it sort of led to a bunch of results in ⦠M.A. My name is Julia Wang, I am a undergraduate (class of 2019) studying Computer Science. Watch 9 Star 0 Fork 0 Code for generating computational figures in paper 0 stars 0 forks Star ... Subhaneil Lahiri, Rhea R. Kimpo, Hanmi Lee, Surya Ganguli, Carla J. Shatz, Jennifer L. Raymond. My second project is focused on optimizing and understanding how ultrasonic neurostimulation works by using our in vitro retina animal model. Alex Williams! I am interested in how neural networks encode information about the world. Understanding how and why eye movements change the neural code. To eradicate this irony, we must develop a new science of [â¦] Lev, S. Ganguli, In prep Currently US citizen. Instituto Nacional de Psiquiatria, Mexico. Address Department of Applied Physics, Stanford University 318 Campus Drive Stanford, CA 94305-5447 sganguli@stanford.edu http://ganguli-gang.stanford.edu/~surya.html Biographic Data Born in Kolkata, India. http://ganguli-gang.stanford.edu/~surya.html. Surya Ganguli . Mathematics, University of Hawaii. SURYA GANGULI:I'm going to talk about statistical physics of deep learning, essentially. Address Department of Applied Physics, Stanford University. Understanding how interneurons shape retinal responses using nonlinear modeling of parallel pathways. Ben Poole! After a year in start-up land, he joined the lab in September 2016. Madhu Advani! I am studying the function of diverse sets of interneurons in the retina by using two-photon microscopy and electrophysiology. B.A. Math and B.S. By treating high dimensional inference using mathematics from disordered system and random matrix ⦠I am a post-doc studying theoretical neuroscience and biophysics in the I am a Basic Life Research Scientist working in the Baccus lab for more than ten years. Matthew Wilson received his bachelorâs degree in Electrical Engineering from Rensselaer Polytechnic Institute in 1983, his masterâs degree in Electrical Engineering from the University of Wisconsin, Madison in 1986, and his Ph.D. in Computation and Neural Systems from the California Institute of Technology in 1990. I am a research scientist in Baccus lab. Peiran Gao! Kiah Hardcastle! Towards Glimpses of a New Science of Brains, Minds and Machines: Weaving Together Physics, Computer Science, and Neurobiology Our neural circuits exploit the laws of physics to perform computations in ways that are fundamentally different from traditional computers designed by these same neural circuits. Dr. So this is some ongoing work in my lab that was really motivated by trying to understand how neural networks and infants learn categories. Surya Ganguli, Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University; Faculty Associate Director, Stanford Institute for Human-Centered Artificial Intelligence 9:15-11:30 am Research Talks. Recently, deep feedforward neural networks have achieved considerable success in modeling biological sensory processing, in terms of reproducing the input-output map of sensory neurons. Biographic Data Born in Kolkata, India. http://niru.org. Page 1 of 6 Surya Ganguli Associate Professor of Applied Physics and , by courtesy, of Neurobiology and of Electrical Engineering Curriculum Vitae available Online View Prof. Baccus' Faculty Profile. Surya Ganguli joined Microsoft CTO, Kevin Scott, for a technical conversation about artificial intelligence on Kevin's podcast, "Behind the Tech. Realizing a trainable Hopfield associative memory in a driven-dissipative quantum optical neural network. J. Keeling, J. Cotler, B.L. We study how the circuitry of the retina translates the visual scene into electrical impulses in the optic nerve. Jascha Sohl-Dickstein! Understanding the theory, function and mechanisms of how neural populations represent a dynamic visual scene. He presently runs the Neural Dynamics and Computation Lab at Stanford, where he aims to reverse engineer how networks of neurons and synapses cooperate across multiple scales of space and time to facilitate sensory perception, motor control, memory, and other cogn⦠Understanding interneuron contributions to pattern adaptation using simultaneous intracellular and multielectrode recording. Ganguli Lab!! Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya Ganguli Code on GitHub. My research focuses on understanding general principles underlying sensory processing, in particular using tools from deep learning and information theory. Computational Neuroscience, University of Chicago. Surya Ganguli Giving a @worldwideneuro seminar tomorrow on "Theoretical and computational approaches to neuroscience with complex models in high dimensions across multiple timescales: from perception to motor control and learning" (i.e.
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