Rockwood Memorial Lecture

Past Lectures

2023 Lecturer: Dr. Tobi Delbruck
Event Camera Silicon Retina; History, Live Demo, and Whiteboard Circuit Design
2022 Lecturer: Dr. Jonathan R. Wolpaw
Neuroadaptive Technologies: Past, Present & Future
2021 Lecturer: Dr. Yoshua Bengio
From Conscious Processing to System 2 Deep Learning
2019 Lecturer: Dr. Pietro Perona
Visipedia: People, Machines, and Data Working Together to Achieve Knowledge
2018 Lecturer: Dr. Don Norman
Adventures in Representation: A Lifetime of Struggle
2017 Lecturer: Dr. Christof Koch
Big Science, Team Science, Open Science: In the Service of Neuroscience
2016 Lecturer: Dr. Krishna Shenoy
Brain-Machine Interfaces: From Basic Science and Engineering to Clinical Trials
2015 Lecturer: Dr. Kwabena Boahen
Neuromorphic Chips: Combining Analog Computation with Digital Communication
2014 Lecturer: Dr. Bruce McNaughton
Doughnuts in the Brain: A Toroidal Attractor Theory of the Cognitive Map
2013 Lecturer: Dr. Dmitri B. Chklovskii
Can connectomics help us understand neural computation? Insights from the fly visual system
2012 Lecturer: Dr. Eugene M. Izhikevich
Spikes
2011 Lecturer: Rodney Douglas
Constructive Cortical Computation
2010 Lecturer: Geoffrey Hinton
Deep learning with multiplicative interactions
2009 Lecturer: Josh Bongard
Investigations at the Interface of Morphology, Evolution and Cognition
Resilient Machines (Through Continuous Self-Modeling)
2008 Lecturer: Jeff Hawkins
Founder, Palm, Inc. Handspring, and Numenta,
Computing Beyond Turing: How neocortical theory is shaping the future of computing
2007 Lecturer: Tomaso Poggio,
Center for Biological and Computational Learning, Computer Science and Artificial Intelligence Laboratory, McGovern Institute for Brain Research, Massachusetts Institute of Technology
What Should Computer Vision Learn from Neuroscience?
2006 Lecturer:Harvey Karten
Department of Neurosciences, UCSD
Unwiring the Brain: Neuromorphic Engineering of Motion Detection
2005 Lecturer: Jeffrey L. Elman
UC San Diego
Generalizing beyond our experience: Lessons from neural networks
2004 Lecturer: Richard Gregory
University of Bristol
A Periodic Table for Perception
2003 Lecturer: Stephen Wolfram
Wolfram Research, Inc.
A New Kind Of Science
2002 Lecturer: Pasko Rakic
Yale University
Building the Cerebral Cortex: From Stem Cells to Complex Architecture
2001 Lecturer: Michael Dickinson
UC Berkeley
How Fruit Flies flap for Flight Forces: Neuro-Mechanics of a Complex Behavior
2000 Lecturer: Christoph von der Malsburg
Bochum University and University of Southern California
The Learning Problem
1999 Lecturer: Dana Ballard
University of Rochester
Single-Spike Models of Predictive Coding
1998 Lecturer: Geoffrey Hinton
University of Toronto
Finding Structure in Ensembles of Images
1997 Lecturer: Michael Jordan
Massachusetts Institute of Technology
Graphic Models, Neural Networks, and Variational Methods
1996 Lecturer: Jack Cowan
University of Chicago
Geometric Visual Hallucinations, Migraine Auras, and Visual Illusions: What They Tell Us About Visual Cortex Circuitry
1995 Lecturer: Geoffrey Hinton
University of Toronto
Neural Networks that Learn by Generating Fantasies
1994 Lecturer: Stephen Grossberg
Boston University
Neural Networks for Learning, Recognition, and Recall
1993 Lecturer: James L. McClelland
Carnegie-Mellon University
The Interaction of Nature and Nurture in Development: A Parallel Distributed Processing Perspective
1992 Lecturer: David E. Rumelhart
Stanford University
Synthesizing and Recognizing Cursive Handwriting: A Connectionist Approach
1990 Lecturer: John Hopfield,
California Institute of Technology
The Dynamics of "Neural" Computation