Photo of Dr. Ari Rosenberg
November 30, 2018 - 4:00 pm
Singleton Auditorium(46-3002)
Ari Rosenberg, Assistant Professor - Ph.D., Computational Neuroscience, University of Chicago
Abstract: Our sensory systems are unable to directly sense all the aspects of the world we perceive. For example, our perception of the world as three-dimensional (3D) is compelling, but our eyes only detect two-dimensional (2D) projections of our surroundings. Creating accurate and precise 3D...
Photo of Henry Evrard
October 26, 2018 - 4:00 pm
Henry Evrard , Head of Research Group CIN Functional and Comparative Neuroanatomy, Werner Reichardt Center...
Abstract:  Interoception substantiate embodied feelings and shape cognitive processes including perceptual awareness.  My lab combines architectonics, tract-tracing, electrophysiology, direct electrical stimulation fMRI (DES-fMRI), neural event triggered fMRI (NET-fMRI) and optogenetics in the...
Photo of Prof. Daniel J. Kersten
October 19, 2018 - 4:00 pm
Prof. Daniel J. Kersten, University of Minnesota
Abstract: The existence of feedforward and feedback neural connections between areas in the primate visual cortical hierarchy is well known.  While there is a general consensus for how feedforward connections support the sequential stages of visual processing for tasks such as object recognition,...
Photo of Prof. Samory Kpotufe, Princeton University
October 12, 2018 - 4:00 pm
Prof. Samory Kpotufe, Princeton University
Abstract:  Estimating the mode or modal-sets (i.e. extrema points or surfaces) of an unknown density from sample is a basic problem in data analysis. Such estimation is relevant to other problems such as clustering, outlier detection, or can simply serve to identify low-dimensional structures in...
September 21, 2018 - 4:00 pm
Eric Shea-Brown, University of Washington
Abstract:  There is an avalanche of new data on the brain’s activity, revealing the collective dynamics of vast numbers of neurons.  In principle, these collective dynamics can be of almost arbitrarily high dimension, with many independent degrees of freedom — and this may reflect...
Photo of Dr. Joseph Lizier
July 24, 2018 - 11:00 am
Dr. Joseph T. Lizier, The University of Sydney
Abstract: 
The space-time dynamics of interactions in neural systems are often described using terminology of information processing, or computation, in particular with reference to information being stored, transferred and modified in these systems. In this talk, we describe an information-...
Photo of Prof. Lior Wolf
July 2, 2018 - 4:00 pm
Prof. Lior Wolf, Tel Aviv University and Facebook AI Research
Abstract: Generative models are constantly improving, thanks to recent contributions in adversarial training, unsupervised learning, and autoregressive models. In this talk, I will describe new generative models in computer vision, voice synthesis, and music.

In music – I will...
Photo of Prof. Jonathan Miller, OIST
May 21, 2018 - 4:00 pm
Jonathan Miller, Associate Professor | Physics and Biology Unit, Okinawa Institute of Science and Technology...
Abstract: By a quirk of evolution, camouflaging octopus and cuttlefish report their visual perceptions by modulating their skin color and 3-d texture on time scales of seconds or minutes to match their surroundings (they are generative image modelers).  Their survival demands that predators...
John Shlens
May 4, 2018 - 2:00 pm
Jon Shlens, Google Brain
Abstract:
Recent advances in machine learning have profoundly influenced our study of computer vision. Successes in this field have demonstrated the expressive power of learning representations directly from visual imagery — both in terms of practical utility and unexpected expressive abilities. In...
April 20, 2018 - 4:00 pm
Phil Nelson, Google Research | Google Accelerated Science team
Abstract: Google Accelerated Sciences is a translational research team that brings Google's technological expertise to the scientific community.  Recent advances in machine learning have delivered incredible results in consumer applications (e.g. photo recognition, language translation), and is now...
Photo of Prof. Mikhail Belkin, Ohio State University
April 18, 2018 - 2:00 pm
Mikhail Belkin, Ohio State University
Abstract:
A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by orders of magnitude. These networks are trained to nearly interpolate the data by driving the training...
Photo of Dr. Christof Koch
April 13, 2018 - 4:30 pm
Christof Koch, CBMM EAC member, Allen Institute for Brain Science
Abstract:
Rapid advances in convolutional networks and other machine learning techniques, in combination with large data bases and the relentless hardware advances due to Moore’s Law, have brought us closer to the day when we will be able to have extended conversations with programmable systems,...
Photo of Prof. Marge Livingstone
April 12, 2018 - 4:30 pm
Marge Livingstone, CBMM, Harvard Medical
Host: Tomaso Poggio
This talk is open to the CBMM Community only
Photo of Dr. Ann M. Hermundstad and AMH lab logo.
February 16, 2018 - 4:00 pm
Ann M. Hermundstad, PhD, Janelia Research Campus
Abstract: The brain exploits the statistical regularities of the natural world. In the visual system, an efficient representation of light intensity begins in retina, where statistical redundancies are removed via spatiotemporal decorrelation. Much less is known, however, about the efficient...
Photo of Jeff Hawkins
December 15, 2017 - 4:30 pm
Jeff Hawkins, Co-Founder, Numenta
Please note the change in start time. This talk will be starting at 4:30pm, on Friday, Dec. 15, 2017.
Abstract:  In this talk I will describe a theory that sensory regions of the neocortex process two inputs. One input is the well-known sensory data arriving via thalamic relay cells. We propose...