Dr. Tiganj's research interests combine artificial intelligence, cognitive science and computational neuroscience with the objective of building artificial agents that can learn in an unsupervised manner from temporal and spatial regularities in the real world. Domains of application include reinforcement learning, spatial navigation, natural language processing and computer vision.

Research Areas

  • Cognitive Science
  • Computational Neuroscience

Ongoing projects

  • Using structured neural representation for learning cognitive programs.
  • Building time-aware machine intelligence through timeline-augmented neural networks.
  • Using machine learning methods to identify temporally modulated neural populations.
  • Studying how time and space are represented in the human brain through behavioral experiments.

Research Interests

  • artificial intelligence, cognitive science and computational neuroscience

Subject Area

  • Computer Science
Past Affiliations

Postdoc, Department of Psychological and Brain Sciences, College of Arts and Sciences, Boston University (past)

Computer Science, Cognitive Science
PhD, French Institute for Research in Computer Science and Automation, France, Computer Science, 2011
MS, University of Zagreb, Electrical Engineering, 2008