Jasmin L. Walter
Graph theoretical analysis of eye tracking data recorded in complex VR cities to investigate spatial navigation
Adapting the rational speech act framework for visual interaction
Mohamad Ballout
Deep Learning Models for Long-Distance Dependencies
Ann Huang
Choice history biases in dyadic decision making
Yusuf Brima
At the Interface of Signalling Theory and Deep Learning
Julius Mayer
Complexity, Self-Organization and Emergence in a Multi-Agent System through Microcosm Simulation
Viktoria Zemliak
Cortical spike synchrony as a measure of contour uniformity
Daniel Anthes
The neural mechanics of lifelong learners
Kristina Kobrock
The role of language and pragmatics in higher-level cognition: forming abstract concepts in social interaction
Tracy Sánchez Pacheco
Effects of Humanoid Agents on free spatial navigation patterns
Philip Sulewski
Towards a better understanding of visual information sampling in the brain: neural correlates and deep neural network models of the exploration-exploitation dilemma
Laura Krieger
Improving the Signal Quality of a Mobile EEG Device with Deep Learning
Hristofor Lukanov
Incorporating motion into PeriNet - a computational model for central and peripheral vision
Sophie Lehfeldt
Self organized grammar learning with a plastic recurrant network
Viviane Clay
Using Deep Reinforcement Learning to Teach a Machine a World Understanding
Michael Marino
From Point Clouds to Symbols in Mobile Robotics
Georg Schroeter
Semi-supervised Conceptors and Conceptor Logic
Juliane Schwab
The Semantics, Pragmatics, and Acquisition of Polarity Items
Ms.C. Britta Grusdt
Probabilistic Modeling of rational communication with conditionals
Marc Vidal de Palol
VR environment to study context dependent visual perception
Xenia Ohmer
Language emergence in artificial agents
Ashima Keshava
Studying human behavior in naturalistic environments
Maximilian Wächter
Development of a highly realistic VR eye tracking experiment
Pascal Nieters
Active dendrites implement probabilistic temporal logic gates
Ivonne Weyers
Non-adjacent dependency learning over different segments in speech