Sixteenth International Conference
on Cognitive and Neural Systems

The conference is aimed at researchers and students of computational neuroscience, cognitive science, neural networks, neuromorphic engineering, and artificial intelligence. It includes invited lectures and contributed lectures and posters by experts on the biology and technology of how the brain and other intelligent systems adapt to a changing world. The conference is particularly interested in exploring how the brain and biologically-inspired algorithms and systems in engineering and technology can learn. Single-track oral and poster sessions enable all presented work to be highly visible. Three-hour poster sessions with no conflicting events will be held on two of the conference days. Posters will be up all day, and can also be viewed during breaks in the talk schedule.

As in previous years, the conference will focus on solutions to the questions

  • How does the brain control behavior?
  • How can technology emulate biological intelligence?

This interdisciplinary conference is attended each year by approximately 300 people from 30 countries around the world. For more information, including call for abstracts, registration, and schedule, please visit the ICCNS page on the Department of Cognitive and Neural Systems website.

Event Dates

  • May 30 – June 1, 2012
  • Boston University
  • 677 Beacon Street
  • Boston, Massachusetts 02215 USA
  • Directions

Sponsors

ICCNS is sponsored by the Boston University Center for Adaptive Systems (CAS), Center for Computational Neuroscience and Neural Technology (CompNet), and the Center of Excellence for Learning in Education, Science, and Technology (CELEST) with financial support from the National Science Foundation.

Confirmed Invited Speakers

  • Martin Banks
    University of California, Berkeley
    Combining depth information from disparity and blur
  • Helen Barbas
    Plenary Speaker
    Boston University Prefrontal pathways and flexible behavior
  • Nathaniel Daw
    New York University
    Reinforcement learning: Beyond reinforcement
  • Paul Glimcher
    New York University
    The emerging standard model of human decision-making
  • Stephen Grossberg
    Plenary Speaker
    Boston University
    Social cognition: How do children learn to follow gaze, share joint attention, imitate their teachers, and use tools during social interactions?
  • Lori Holt
    Carnegie Mellon University
    Using speech to listen in on auditory processing
  • Margaret Livingstone
    Harvard Medical School
    Why do we have category specific domains and what good are they?
  • Zhong-Lin Lu
    Ohio State University
    Functions and mechanisms of perceptual learning
  • Christopher Pack
    McGill University
    Short-term plasticity of receptive fields and functional connectivity in primate visual cortex
  • Max Riesenhuber
    Georgetown University
    Object recognition in cortex: From pipelines to flying crossbodies
  • Veit Stuphorn
    Johns Hopkins University
    The role of the Supplementary Eye Field in value-based decision-making
  • Jeffrey Taube
    Dartmouth College
    Learning and memory in the head direction cell circuit

CELEST Workshop on “Building Autonomous Robots”

  • Gary Bradski
    Willow Garage
    Perception tools and systems for autonomous robots
  • Stefano Fusi
    Columbia University
    The importance of conjunctive neural representations in high cognitive functions
  • Jeff Krichmar
    University of California, Irvine
    Neuromorphic and brain-based robots
  • Greg Snider
    HP Labs
    Robot brains from dynamic fields
  • Max Versace
    Boston University
    Intelligent robots or bust

More Information

For more information, including call for abstracts, registration, and schedule, please visit the ICCNS page on the Department of Cognitive and Neural Systems.