Fourteenth 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 informationm, including call for abstracts, registration, and schedule, please visit the ICCNS page on the Department of Cognitive and Neural Systems website.

Event Dates

  • May 19 – 22, 2010
  • Boston University
  • 677 Beacon Street
  • Boston, Massachusetts 02215 USA
  • Directions

Sponsors

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

Confirmed Invited Speakers

  • Moshe Bar
    Massachusetts General Hospital and Harvard Medical School
    The proactive brain: Predictions in visual cognition
  • Leon Chua
    Plenary Speaker
    University of California, Berkeley
    Memristor minds
  • Carol Colby
    Carnegie Mellon University
    Active vision
  • Heiner Deubel
    University of Munich
    Attention before goal-directed actions
  • Stephen Grossberg
    Boston University
    Linking What and Where in visual attention, recognition, navigation, and planning
  • Earl Miller
    Plenary Speaker
    Massachusetts Institute of Technology
    The prefrontal cortex: Brain rhythms and cognition
  • Anthony Movshon
    New York University
    Reading visual information from neuronal populations
  • Steven Petersen
    Washington University
    Using network analysis tools to study the brain's control systems
  • Russell Poldrack
    UCLA
    Stopping ourselves: The neural basis of response inhibition
  • Josef Rauschecker
    Georgetown University Medical Center
    A functional and computational role for the dorsal stream in space and speech
  • Barry Richmond
    National Institutes of Health
    Neuropsychological, physiological, and theoretical studies of stimulus-outcome learning in monkeys
  • Linda Smith
    Indiana University
    Head, hand and eye: Action, attention, and learning in toddlers
  • Xiao-Jing Wang
    Yale University
    Computational neurobiology of decision making

Workshop on “To Sleep, Perchance to Dream”

  • Mark Brandon and Michael Hasselmo
    Boston University
    Modulation of grid cells and head direction cells during waking and sleep
  • Steffen Gais
    Ludwig Maximilians University
    Cholinergic and other neurotransmitter influences on memory processing during sleep
  • Bruce McNaughton
    University of Lethbridge
    Memory trace reactivation in sleep
  • Cliff Saper
    Harvard Medical School
    Sleep switches
  • Robert Stickgold
    Harvard Medical School
    Sleep, memory, and dreams: Beyond consolidation
  • Erin Wamsley
    Harvard Medical School
    Memories in the sleeping brain: A function for our dreams?
  • Matt Wilson
    Massachusetts Institute of Technology
    Hippocampal memory reactivation during sleep

Workshop on “Neuromorphic Computing: From Brains to Nanochips”

  • Ralph Etienne-Cummings
    Johns Hopkins University
    Implementing a spike-based HMAX vision system with a silicon neural array
  • Henry Markram
    Ecole Polytechnique Fédérale de Lausanne
    The Blue Brain Project: Insights into the design of the neocortical microcircuitry
  • Karlheinz Meier
    University of Heidelberg
    Neuromorphic computing – Are we ready for a big step?
  • Narayan Srinivasan
    HRL Laboratories LLC
    Low power analog neuromorphic hardware for large scale cortical computations

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.