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.
- May 30 – June 1, 2012
- Boston University
- 677 Beacon Street
- Boston, Massachusetts 02215 USA
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
University of California, Berkeley
Combining depth information from disparity and blur
Boston University Prefrontal pathways and flexible behavior
New York University
Reinforcement learning: Beyond reinforcement
New York University
The emerging standard model of human decision-making
Social cognition: How do children learn to follow gaze, share joint attention, imitate their teachers, and use tools during social interactions?
Carnegie Mellon University
Using speech to listen in on auditory processing
Harvard Medical School
Why do we have category specific domains and what good are they?
Ohio State University
Functions and mechanisms of perceptual learning
Short-term plasticity of receptive fields and functional connectivity in primate visual cortex
Object recognition in cortex: From pipelines to flying crossbodies
Johns Hopkins University
The role of the Supplementary Eye Field in value-based decision-making
Learning and memory in the head direction cell circuit
CELEST Workshop on “Building Autonomous Robots”
Perception tools and systems for autonomous robots
The importance of conjunctive neural representations in high cognitive functions
University of California, Irvine
Neuromorphic and brain-based robots
Robot brains from dynamic fields
Intelligent robots or bust
For more information, including call for abstracts, registration, and schedule, please visit the ICCNS page on the Department of Cognitive and Neural Systems.