Publications by topic


Overview of Dynamic Neural Fields:



Sandamirskaya, Y.; Zibner, S.; Schneegans, S.; & Schöner, G.
Using Dynamic Field Theory to Extend the Embodiment Stance toward Higher Cognition. New Ideas in Psychology, 2013 (http://dx.doi.org/10.1016/j.newideapsych.2013.01.002) [pdf]

Sandamirskaya, Y.
Dynamic Neural Fields as a Step Towards Cognitive Neuromorphic Architectures. Frontiers in Neuroscience, Vol. 7, pp. 276, 2013 (http://www.frontiersin.org/journal/10.3389/fnins.2013.00276/abstract) [pdf]

Neuromorphic cognitive architectures:

Blum, H.; Dietmüller, A.; Milde, M.; Conradt, J.; Indiveri, G. & Sandamirskaya, Y. A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor. Robotics Science and Systems Conference, RSS, 2017 [pdf]


Milde, M. B.; Blum, H.; Dietmüller, A.; Sumislawska, D.; Conradt, J.; Indiveri, G. & Sandamirskaya, Y. Obstacle avoidance and target acquisition for robot navigation using a mixed signal analog/digital neuromorphic processing system. Frontiers in Neurorobotics, 2017. http://journal.frontiersin.org/article/10.3389/fnbot.2017.00028/full

Milde, M.; Dietmüller, A.; Blum, H.; Indiveri, G.; & Sandamirskaya, Y. Obstacle avoidance and target acquisition in mobile robots equipped with neuromorphic sensory-processing systems. IEEE International Symposium on Circuits and Systems (ISCAS), 2017 [pdf]

Salt, L., Indiveri, G., & Sandamirskaya, Y. Obstacle avoidance with Locust Giant Looming Detector neuron: towards a neuromorphic UAV implementation. IEEE International Symposium on Circuits and Systems (ISCAS), 2017 [pdf]

Martel, J. & Sandamirskaya, Y. A Neuromorphic Approach for tracking using Dynamic Neural Fields on a Programmable Vision-chip. International Conference on Distributed and Smart Cameras (ICDSC), 2016 [pdf]


Learning:


Timing:


Duran, B. & Sandamirskaya, Y.
Learning Temporal Intervals with Neural Dynamics. IEEE Transactions on Cognitive and Developmental Systems. Issue 99, 2017. http://dx.doi.org/10.1109/TCDS.2017.2676839 [pdf]

Adaptation and Saccadic Eye Movements


Sandamirskaya, Y. & Storck, T. Neural-Dynamic Architecture for Looking: from Visual to Motor Target Representation for Memory Saccades. 12th IEEE International Conference on Development and Learning (ICDL), 2014 [pdf]

Bell, C.; Storck, T. & Sandamirskaya, Y.
Learning to Look: a Dynamic Neural Fields Architecture for Gaze Shift Generation. International Conference for Artificial Neural Networks (ICANN), 2014 [pdf]


Sandamirskaya, Y.; Conradt, J.
Learning Sensorimotor Transformations with Dynamic Neural Fields. International Conference on Artificial Neural Networks (ICANN), 2013 [pdf]

Sandamirskaya, Y.; Conradt, J.
Increasing Autonomy of Learning Sensorimotor Transformations with Dynamic Neural Fields. IEEE International Conference on Robotics and Automation (ICRA), Workshop on “Autonomous Learning -- from Machine Learning to Learning in Real-World Autonomous Systems”, 2013 [pdf]

Haptic Learning



Strub, C.; Wörgötter, F.; Ritter, H.; & Sandamirskaya, Y.
Using Haptics to Extract Object Shape from Rotational Manipulations. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014 [pdf]

Strub, C.; Wörgötter, F.; Ritter, H.; & Sandamirskaya, Y.
Correcting Pose Estimates during Tactile Exploration of Object Shape: a Neuro-robotic Study. 12th IEEE International Conference on Development and Learning (ICDL), 2014 [pdf]

Neural-dynamic Reinforcement Learning



Luciw, M.; Sandamirskaya, Y.; Kazerounian, S.; Schmidhuber, J, & Schöner, G.
Reinforcement and Shaping in Learning Action Sequences with Neural Dynamics. 12th IEEE International Conference on Development and Learning (ICDL), 2014 [pdf]

Lowe, R.; Sandamirskaya, Y.; & Billing, E.
A Neural Dynamic Model of Associative Two-Process Theory: The Differential Outcomes Effect and Infant Development. 12th IEEE International Conference on Development and Learning (ICDL), 2014, [pdf]

Kazerounian, S.; Luciw, M; Richter, M; & Sandamirskaya, Y. Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics. International Joint Conference on Neural Networks (IJCNN), 2013 [pdf]
Luciw, M.; Kazerounian, S.; Lakhmann, K.; Richter, M. & Sandamirskaya, Y.
Learning the Perceptual Conditions of Satisfaction of Elementary Behaviors. Robotics: Science and Systems (RSS), Workshop "Active Learning in Robotics: Exploration, Curiosity, and Interaction", 2013 [pdf]

Serial order, sequence generation, behavioral organization



Sandamirskaya, Y. & Schöner, G.
Serial order in an acting system: a multidimensional dynamic neural fields implementation. Development and Learning, 2010. ICDL 2010. 9th IEEE International Conference on, 2010 [pdf]

Sandamirskaya, Y. & Burtsev, M. NARLE:
Neurocognitive architecture for the autonomous task recognition, learning, and execution, BICA, 2015, 13 [pdf]

Billing, E.; Lowe, R. & Sandamirskaya, Y.
Simultaneous Planning and Action: Neural-dynamic Sequencing of Elementary Behaviours in Robot Navigation. Adaptive Behavior, 9, 2015, 1-22 [pdf]

Richter, M.; Sandamirskaya, Y.; & Schöner, G.
A robotic architecture for action selection and behavioral organization inspired by human cognition. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012 [pdf]

Sandamirskaya, Y.; Richter, M. & Schöner, G.
A neural-dynamic architecture for behavioral organization of an embodied agent. IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL EPIROB 2011), 2011 [pdf]

Sandamirskaya, Y. & Schöner, G.
An embodied account of serial order: How instabilities drive sequence generation. Neural Networks, 2010, 23, 1164-1179 (http://www.sciencedirect.com/science/article/pii/S0893608010001516) [pdf]

Sandamirskaya, Y. & Schöner, G.
Dynamic Field Theory of Sequential Action: A Model and its Implementation on an Embodied Agent. Development and Learning, 2008. ICDL 2008. 7th IEEE International Conference on, 2008 [pdf]

Duran, B.; Sandamirskaya, Y.; & Schöner, G.
A Dynamic Field architecture for generation of hierarchically organized sequences. International Conference on Artificial Neural Networks (ICANN), 2012 [pdf]

Duran, B & Sandamirskaya, Y.
Neural Dynamics of Hierarchically Organized Sequences: a Robotic Implementation. Proceedings of 2012 IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2012 [pdf]

Sandamirskaya, Y. & Schöner, G.
Dynamic Field Theory and Embodied Communication. Modeling communication with robots and virtual humans, G. Wachsmuth, I. & Knoblich, G. (Eds.) Springer, 2006, 260-278 (http://link.springer.com/chapter/10.1007%2F978-3-540-79037-2_14?LI=true) [pdf]


Spatial language:



Richter, M.; Lins, J.; Schneegans, S.; Sandamirskaya, Y. & Schöner, G.
Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial Language. The Annual Meeting of the Cognitive Science Society, CogSci, 2014 [pdf]

Lipinski, J.; Sandamirskaya, Y. & Schöner, G.
Swing it to the Left, Swing it to the Right: Enacting Flexible Spatial Language Using a Neurodynamic Framework. Cognitive Neurodynamics, special issue on Language Dynamics, 2009, 3 (http://link.springer.com/article/10.1007%2Fs11571-009-9096-y?LI=true) [pdf]

Lipinski, J.; Schneegans, S.; Sandamirskaya, Y.; Spencer, J. & Schöner, G.
A Neurobehavioral Model of Flexible Spatial Language Behaviors. Journal of Experimental Psychology: Learning, Memory, and Cognition (JEP:LMC), 2011 (http://psycnet.apa.org/psycinfo/2011-08228-001/) [pdf]

Sandamirskaya, Y.; Lipinski, J.; Iossifidis, I. & Schöner, G.
Natural human-robot interaction through spatial language: a dynamic neural fields approach. 19th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN, 2010, 600-607 [pdf]

Lipinski, J.; Sandamirskaya, Y. & Schöner, G.
Behaviorally Flexible Spatial Communication: Robotic Demonstrations of a Neurodynamic Framework. KI 2009, Lecture Notes in Artificial Intelligence, Mertsching, B.; Hund, M. & Z., A. (Eds.), Berlin: Springer-Verlag, 2009, 5803, 257-264 [pdf]

Lipinski, J.; Sandamirskaya, Y. & Schöner, G.
Flexible Spatial Language Behaviors: Developing a Neural Dynamic Theoretical Framework. 9th International Conference on Cognitive Modeling, ICCM 2009. Manchester, UK., 2009 [pdf]

van Hengel, U.; Sandamirskaya, Y.; Schneegans, S. & Schöner, G.
A neural-dynamic architecture for flexible spatial language: intrinsic frames, the term “between”, and autonomy. 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012, 2012 [pdf]

Modeling A-not-B



Dineva, E.; Faubel, C.; Sandamirskaya, Y.; Schöner, G. & Spencer, J.
Autonomous Robotic Demonstration of Infant Decision Making Within and Beyond the A-not-B Paradigm
submitted