Deep, fast and shallow learning in humans and machines

Learning – adaptive, intelligent change in response to experience – is a core property of human cognition, and the questions surrounding it have a long history of a shared pursuit between computer science, psychology, and neuroscience. However, these fields seemed to be moving apart in their approaches to learning – still borrowing from each other and with individual scientists sometimes jumping from one field to the other – but with big knowledge advances occurring in discipline-specific directions. Despite this, there is general agreement that the advances in all three fields place us at the tipping point for powerful and consequential new insights into mechanisms of (and algorithms for) learning. These advances have the potential to revolutionize teaching and education, to yield behavioral interventions that precisely target change in specific neural processes, and (through powerful new machine learning approaches) to impact all of science as well as everyday life and society as a whole. In this spirit we call for joining efforts across disciplines more than ever to pursue a unified theory of learning. This workshop will breakthrough disciplinary boundaries to bring together computer scientists, psychologists and neuroscientists to address modern issues regarding how learning is implemented in algorithms, in the brain and in human behavior. See Schedule for Workshop here.

Conference registration is through


Building deep neural network models to understand biological vision

Niko Kriegeskorte

Professor of Psychology and Director of Cognitive Imaging | Columbia University

Three principles for understanding distinctively human learning.

Brenden Lake

Assistant Professor of Psychology and Data Science Department of Psychology and Center for Data Science | New York University

Towards an integration of deep learning and neuroscience

Adam Marblestone

Chief Strategy Officer at Kernel | Massachusetts Institute of Technology

Learning motor control via feedback mechanisms and imagery for brain computer interfaces

Virginia De Sa

Associate Professor Department of Cognitive Science | University of California San Diego

Learning biological tissue properties of brain networks

Franco Pestilli

Assistant Professor Psychological and Brain Sciences | Indiana University Bloomington

Computational curiosity

Adam White

Research Scientist | Google Deepmind

Real world data for learning by infants and children

Linda Smith

Distinguished Professor and Chancellor's Professor of Psychological and Brain Sciences | Indiana University

Learning and optimization on geometric data: Theory and practice

Justin Solomon

Assistant Professor Department of Electrical Engineering & Computer Science | Massachusetts Institute of Technology

Human interpretable machine learning

Sanmi Koyejo

Assistant Professor Department of Computer Science | University of Illinois at Urbana-Champaign

Investigating a New Recurrent Neural Network Architecture based on Predictive Representations

Martha White

Assistant Professor Department of Computing Science | University of Alberta

Two sides of the same coin: egocentric vision in human and machine learning

David Crandall

Associate Professor School of Informatics, Computing, and Engineering | Indiana University

Two sides of the same coin: egocentric vision in human and machine learning

Chen Yu

Professor Psychological and Brain Sciences | Indiana University

The IU Global Studies Auditorium is located at the eastern edge of IU Bloomington’s historic campus, between the Wells Library and the Radio-TV Building, walking distance from town center and the Department of Psychological and Brain Sciences and the School of Informatics. The building opened in late Summer 2015.

Funding is available on a competitive base for graduate students and postdocs. Apply here for the Estes Travel Fellowship!

Deadline: April 29th

The 7th annual Midwest Cognitive Science Conference (2018) will be held at the week prior to the workshop (May 12th and 13th) also at the Global and International studies building. This meeting is intended to provide a forum for faculty and students to present their research on cognitive science to their peers from across the Midwest.

The CognitiveScience/IndianaUniversity ambigram was designed by Douglas Hofstadter