Rockwood Memorial Lecture

Past Lectures

• 2022 Lecturer: Jonathan R. Wolpaw, M.D.
  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
  Click here to watch the archived video
  
  
• 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"
  View Movie (Windows Media Player / 100MB): Part1 - Part2 - Part3

• 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"