Table of Contents

1. Foundations and New Paradigms of Brain computing: Attention, Search, Recognition, Oscillations, Working Memory, Speech Perception, Social Cognition

2. The Role of Advanced Studies at the Brain-Machine Interface

3. Toward an Integrated Science of Decision Making: Bridging Levels of Analysis with the Leaky Competing Accumulator Model

1. Why Understanding Brain-Mind Requires 6-Discipline Knowledge

2. A Bayesian Approach for Feature Extraction in EEG-based Brain-Computer Interface

3. Mathematical Techniques for Authentication of Arts

4. Challenges and opportunities for advance remote sensing analysis with Neural Networks

5. Mathematical Techniques for Authentication of ArtsComputational Intelligence in Automotive R & D and implications to BMI

1. Pollution analysis and prediction based on Voronoi Maps and neural networks

2. The Effects of Performance Motivation: A Computational Exploration of a Dynamic Decision Making Task

3. Embodied Intelligent Agents with Cognitive Conscious and Unconscious Reasoning

4. Bringing to Life an Ancient Urban Center at Monte Albán, Mexico: Exploiting the Synergy Between the Macro, Meso, and Micro Level in a Complex System

5. The Myth of Dual Consciousness in the Split Brain: Contrary Evidence from Psychology and Neuroscience

6. A Theory on the Completeness of the DN Logic Capability

7. Inconsistent Training for Developmental Networks and the Applications in Game Agents

8. Brain-Like Learning Directly from Dynamic Cluttered Natural Video

1. Evolutionary and Neuroscientific Account of the Self

2. Use of Common Information Models to Map from Cognition to Physiology

3. Gender Differences In Organizational Justice Evaluations: Evidence from fMRI

4. Proactive learning mechanism of sensory perception and behavior generation for an autonomous robot

5. Human Implicit Intention Understanding with Naïve Bayes for Human Augmented Cognition System

6. Incremental Object Recognition using Hybrid Learning with Short-Term and Long-Term Memory

7. A Computational Developmental Model for Specificity and Transfer in Perceptual Learning

8. Developmental Networks with Classification Uncertainty

9. Self-synchronization Patterns of Spiking Neuronal Network

10. A Network Model for Multiple Object Scales in Cluttered Backgrounds:Multiple Patches per Object

BMI 2012 Advisory Committee

BMI 2012 Program Committee

BMI 2012 Conference Committee

BMI 2012 MSU Steering Committee