Institute of Neuroinformatics, University of Zurich and ETH Zurich

The "Neuromorphic Cognitive Robots" group at Institute of Neuroinformatics, University and ETH Zurich uses the DFT principles to build cognitive neural-dynamic architectures that can be realised in neuromorphic hardware — analogue and digital spiking neural networks on chip. The neuromorphic computing devices are interfaced to robotic sensors and motors, forming embodied neuromorphic platforms for validation of functional properties of the neuro-dynamic architectures in a closed behavioural loop. The group is interested in topics of long-term memory formation, sequence learning, learning of sensorimotor maps, spatial cognition and navigation, as well as autonomous learning.


Institute of Neuroinformatics
University of Zurich and ETH Zurich

Switzerland

External Homepage

    2018

  • Real-Time Depth from Focus on a Programmable Focal Plane Processor
    Martel, J. N. P., Müller, L. K., Carey, S. J., Müller, J., Sandamirskaya, Y., & Dudek, P.
    IEEE Transaction on Circuits and Systems–I, 65(3), 925–934
  • A Neuromorphic approach to path integration: a head direction spiking neural network with visually-driven reset
    Kreiser, R., Cartiglia, M., Martel, J. N. P., Conradt, J., & Sandamirskaya, Y.
    In IEEE Symposium for Circuits and Systems, ISCAS
  • Pose Estimation and Map Formation with Spiking Neural Networks: towards Neuromorphic SLAM
    Kreiser, R., Pienroj, P., Renner, A., & Sandamirskaya, Y.
    In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
  • An Active Approach to Solving the Stereo Matching Problem using Event-Based Sensors
    Martel, J. N. P., Müller, J., Conradt, J., & Sandamirskaya, Y.
    In IEEE International Symposium on Circuits and Systems (ISCAS)
  • 2017

  • A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor
    Blum, H., Dietmüller, A., Milde, M., Conradt, J., Indiveri, G., & Sandamirskaya, Y.
    In Robotics Science and Systems Conference, RSS
  • Learning Temporal Intervals in Neural Dynamics
    Duran, B., & Sandamirskaya, Y.
    IEEE Transactions on Cognitive and Developmental Systems, 1–14
  • On-chip unsupervised learning in Winner-Take-All networks of spiking neurons
    Kreiser, R., Moraitis, T., Sandamirskaya, Y., & Indiveri, G.
    In Biological Circuits and Systems (BioCAS)
  • Affective–associative two-process theory: a neurocomputational account of partial reinforcement extinction effects
    Lowe, R., Almèr, A., Billing, E., Sandamirskaya, Y., & Balkenius, C.
    Biological Cybernetics, 11(5-6), 365–388
  • Obstacle avoidance and target acquisition for robot navigation using a mixed signal analog/digital neuromorphic processing system
    Milde, M. B., Blum, H., Dietmüller, A., Sumislawska, D., Conradt, J., Indiveri, G., & Sandamirskaya, Y.
    Frontiers in Neurorobotics
  • Obstacle avoidance and target acquisition in mobile robots equipped with neuromorphic sensory-processing systems
    Milde, M., Dietmüller, A., Blum, H., Indiveri, G., & Sandamirskaya, Y.
    In IEEE Synposium for Circuits and Systems, ISCAS
  • Obstacle avoidance with LGMD neuron: towards a neuromorphic UAV implementation
    Salt, L., Indiveri, G., & Sandamirskaya, Y.
    In IEEE International Symposium on Circuits and Systems
  • Dynamic Neural Fields with Intrinsic Plasticity
    Strub, C., Schöner, G., Wörgötter, F., & Sandamirskaya, Y.
    Frontiers in Computational Neuroscience, 11(August), 74
  • 2016

  • A Neuromorphic Approach for Tracking using Dynamic Neural Fields on a Programmable Vision-chip
    Martel, J. N. P., & Sandamirskaya, Y.
    In Proceedings of the 10th International Conference on Distributed Smart Camera (ICDSC), ACM
  • 2015

  • Simultaneous Planning and Action: Neural-dynamic Sequencing of Elementary Behaviours in Robot Navigation
    Billing, E., Lowe, R., & Sandamirskaya, Y.
    Adaptive Behvaior, 1–22
  • Parsing of action sequences: A neural dynamics approach
    Lobato, D., Sandamirskaya, Y., Richter, M., & Schöner, G.
    Paladyn, Journal of Behavioral Robotics, 6(1), 119–135
  • Learning the condition of satisfaction of an elementary behavior in dynamic field theory
    Luciw, M., Kazerounian, S., Lahkman, K., Richter, M., & Sandamirskaya, Y.
    Paladyn, Journal of Behavioral Robotics, 6(1), 180–190
  • Learning the Condition of Satisfaction of an Elementary Behavior in Dynamic Field Theory
    Luciw, M., Kazerounian, S., Lakhmann, K., Richter, M., & Sandamirskaya, Y.
    Paladyn
  • Learning to Reach after Learning to Look: a Study of Autonomy in Learning Sensorimotor Transformations
    Rudolph, C., Storck, T., & Sandamirskaya, Y.
    In IJCNN
  • NARLE: Neurocognitive architecture for the autonomous task recognition, learning, and execution
    Sandamirskaya, Y., & Burtsev, M.
    BICA, 13
  • Artificial Neural Networks — Methods and Applications in Bio-/Neuroinformatics
    Sandamirskaya, Y., & Storck, T.
    In P. Koprinkova-Hristova, Mladenov, V., & Kasabov, N. K. (Eds.) (Vol. 4) Springer
  • Artificial Neural Networks
    Sandamirskaya, Y., & Storck, T.
    In P. Koprinkova-Hristova, Mladenov, V., & Kasabov, N. K. (Eds.) (Vol. 4) Springer
  • 2014

  • Learning to Look: a Dynamic Neural Fields Architecture for Gaze Shift Generation
    Bell, C., Storck, T., & Sandamirskaya, Y.
    In ICANN Hamburg, Germany
  • Learning to Look: a Dynamic Neural Fields Architecture for Gaze Shift Generation
    Bell, C., Storck, T., & Sandamirskaya, Y.
    In International Conference for Artificial Neural Networks, ICANN Hamburg, Germany
  • A Neural Dynamic Model of Associative Two-Process Theory: The Differential Outcomes Effect and Infant Development
    Lowe, R., Sandamirskaya, Y., & Billing, E.
    In ICDL-EPIROB
  • Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics
    Luciw, M., Kazerounian, S., Sandamirskaya, Y., Schöner, G., & Schmidhuber, J.
    In Simulation of Adaptive Behavior, SAB
  • Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial Language
    Richter, M., Lins, J., Schneegans, S., Sandamirskaya, Y., & Schöner, G.
    In P. Bello, Guarini, M., McShane, M., & Scassellati, B. (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2847–2852) Austin, TX: Cognitive Science Society
  • Neural-Dynamic Architecture for Looking: Shift from Visual to Motor Target Representation for Memory Saccade
    Sandamirskaya, Y., & Storck, T.
    In IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL EPIROB 2014)
  • Correcting Pose Estimates during Tactile Exploration of Object Shape: a Neuro-robotic Study
    Strub, C., Wörgötter, F., Ritter, H., & Sandamirskaya, Y.
    In Development and Learning and Epirobotics (ICDL-Epirob), IEEE International Conference on
  • Using Haptics to Extract Object Shape from Rotational Manipulations
    Strub, C., Wörgötter, F., Ritter, H., & Sandamirskaya, Y.
    In Intelligent Robots and Systems (IROS), IEEE/RSJ International Conference on IEEE
  • Correcting pose estimates during tactile exploration of object shape: a neuro-robotic study
    Strub, C., Wörgötter, F., Ritter, H., & Sandamirskaya, Y.
    In ICDL-EPIROB (pp. 26–33) IEEE
  • 2013

  • Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics
    Kazerounian, S., Luciw, M., Richter, M., & Sandamirskaya, Y.
    In International Joint Conference on Neural Networks (IJCNN)
  • Learning the Perceptual Conditions of Satisfaction of Elementary Behaviors
    Luciw, M., Kazerounian, S., Lakhmann, K., Richter, M., & Sandamirskaya, Y.
    In Robotics: Science and Systems (RSS), Workshop "Active Learning in Robotics: Exploration, Curiosity, and Interaction"
  • Dynamic Neural Fields as a Step Towards Cognitive Neuromorphic Architectures
    Sandamirskaya, Y.
    Frontiers in Neuroscience, 7, 276
  • Autonomy in Learning Sensorimotor Spaces with Dynamic Neural Fields
    Sandamirskaya, Y.
    In Proceedings of the Annual Meeting of the Cognitive Science Society, Berlin
  • Increasing Autonomy of Learning SensorimotorTransformations with Dynamic Neural Fields
    Sandamirskaya, Y., & Conradt, J.
    In International Conference on Robotics and Automation (ICRA), Workshop "Autonomous Learning"
  • Learning Sensorimotor Transformations with Dynamic Neural Fields
    Sandamirskaya, Y., & Conradt, J.
    In International Conference on Artificial Neural Networks (ICANN)
  • Using Dynamic Field Theory to Extend the Embodiment Stance toward Higher Cognition
    Sandamirskaya, Y., Zibner, S. K. U., Schneegans, S., & Schöner, G.
    New Ideas in Psychology, 31(3), 322–339
  • 2012

  • Autonomous reinforcement of behavioral sequences in neural dynamics
    Kazerounian, S., Luciw, M., Sandamirskaya, Y., Richter, M., Schmidhuber, J., & Schöner, G.
    In IEEE International Conference on Development and Learning and Epigenetic Robotics (Vol. 1, pp. 1–2) Ieee
  • A neurobehavioral model of flexible spatial language behaviors
    Lipinski, J., Schneegans, S., Sandamirskaya, Y., Spencer, J. P., & Schöner, G.
    Journal of experimental psychology. Learning, memory, and cognition, 38, 1490–1511
  • Neural Dynamics of Hierarchically Organized Sequences: a Robotic Implementation
    Duran,, & Sandamirskaya, Y.
    In Proceedings of 2012 IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  • A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences
    Duran, B., Sandamirskaya, Y., & Schöner, G.
    In A. E. P. Villa, Duch, W., Érdi, P., Masulli, F., & Palm, G. (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2012 (Vol. 7552, pp. 25–32) Springer Berlin Heidelberg
  • A Neuro-Behavioral Model of Flexible Spatial Language Behaviors
    Lipinski, J., Schneegans, S., Sandamirskaya, Y., Spencer, J. P., & Schöner, G.
    Journal of Experimental Psychology: Learning, Memory and Cognition., 38(6), 1490–1511
  • Neural dynamics for behavioral organization of an embodied agent.
    Richter, M., & Sandamirskaya, Y.
    In 16th International Conference on Cognitive and Neural Systems (ICCNS)
  • Organization of robotic behavior with dynamic field theory.
    Richter, M., Sandamirskaya, Y., & G, S.
    In 5th International Conference on Cognitive Systems (CogSyst)
  • A robotic architecture for action selection and behavioral organization inspired by human cognition
    Richter, M., Sandamirskaya, Y., & Schöner, G.
    In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
  • A neural-dynamic architecture for flexible spatial language: intrinsic frames, the term “between”, and autonomy
    van Hengel, U., Sandamirskaya, Y., Schneegans, S., & Schöner, G.
    In 21st IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) 2012 (pp. 150–157)
  • 2011

  • Autonomous Sequencing of Boosts in a Dynamic Neural Fields Architecture for Spatial Language
    Sandamirskaya, Y.
    In 13th International Conference on Cognitive and Neural Systems, ICCNS
  • A Dynamic Neural Fields (DNF) Spatial Language Architecture: the Emergence of Spatial Language Behaviors.
    Sandamirskaya, Y.
    In Interactivist Summer Institute
  • Learning in Dynamic Neural Fields Model for Sequence Generation
    Sandamirskaya, Y.
    In Workshop on Developmental and Learning in Artificial Neural Networks, Paris, France
  • A neural-dynamic architecture for behavioral organization of an embodied agent
    Sandamirskaya, Y., Richter, M., & Schöner, G.
    In IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL EPIROB 2011) (pp. 1–7)
  • Neural dynamics of sequence generation and behavioral organization
    Sandamirskaya, Y., Richter, M., & Schöner, G.
    In Front. Comput. Neurosci.: Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting, BC11
  • A Neurodynamic Architecture for the Autonomous Control of a Spatial Language System
    Schneegans, S., & Sandamirskaya, Y.
    In ICDL-EPIROB
  • 2010

  • Natural human-robot interaction through spatial language: a dynamic neural fields approach
    Sandamirskaya, Y., Lipinski, J., Iossifidis, I., & Schöner, G.
    In 19th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN (pp. 600–607) Viareggio, Italy
  • Natural human-robot interaction through spatial language: a dynamic neural fields approach
    Sandamirskaya, Y., Lipinski, J., Iossifidis, I., & Schöner, G.
    In 19th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN (pp. 600–607) Viareggio, Italy
  • An embodied account of serial order: how instabilities drive sequence generation
    Sandamirskaya, Y., & Schöner, G.
    Neural Networks, 23(10), 1164–1179
  • Neural dynamics of sequence generation: concepts and robotic demonstrations. A Dynamic Field Theory approach.
    Sandamirskaya, Y., & Schöner, G.
    In Bernstein Conference on Computational Neuroscience, BCCN
  • Serial order in an acting system: a multidimensional dynamic neural fields implementation
    Sandamirskaya, Y., & Schöner, G.
    In Development and Learning, 2010. ICDL 2010. 9th IEEE International Conference on
  • An Embodied Account of Serial Order: How Instabilities Drive Sequence Generation
    Sandamirskaya, Y., & Schöner, G.
    Neural Netw., 23
  • Serial order in an acting system: a multidimensional dynamic neural fields implementation
    Sandamirskaya, Y., & Schöner, G.
    In Development and Learning, 2010. ICDL 2010. 9th IEEE International Conference on
  • 2009

  • Representational Integration in Spatial Language Semantics: Robotic Demonstrations of a Neurodynamic Framework
  • Swing it to the Left, Swing it to the Right: Enacting Flexible Spatial Language Using a Neurodynamic Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    Cognitive Neurodynamics, 3(4)
  • Flexible Spatial Language Behaviors: Developing a Neural Dynamic Theoretical Framework.
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In A. Howes, Peebles, D., & Cooper, R. (Eds.), ICCM
  • Behaviorally Flexible Spatial Communication: Robotic Demonstrations of a Neurodynamic Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In B. Mertsching, Hund, M., & Z., A. (Eds.), KI 2009, Lecture Notes in Artificial Intelligence (Vol. 5803, pp. 257–264) Berlin: Springer-Verlag
  • Flexible Spatial Language Behaviors: Developing a New Dynamic Theoretical Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In CogSci
  • Swing it to the Left, Swing it to the Right: Enacting Flexible Spatial Language Using a Neurodynamic Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    Cognitive Neurodynamics, 3(4)
  • An Integrative Framework for Spatial Language and Color: Robotic Demonstrations Using the Dynamic Field Theory.
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In 31th Annual Meeting of the Cognitive Science Society, CogSci 2009 Amstredam, NL
  • An Integrative Framework for Spatial Language and Color: Robotic Demonstrations Using the Dynamic Field Theory.
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In 31th Annual Meeting of the Cognitive Science Society, CogSci 2009 Amstredam, NL
  • Behaviorally Flexible Spatial Communication: Robotic Demonstrations of a Neurodynamic Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In B. Mertsching, Hund, M., & Z., A. (Eds.), KI 2009, Lecture Notes in Artificial Intelligence (Vol. 5803, pp. 257–264) Berlin: Springer-Verlag
  • Memorizing and Generating Inhomogeneous Behavioral Sequnces in the Dynamic Field Theory: Concepts and Robotic Demonstrations.
    Sandamirskaya, Y., & Schöner, G.
    In 13th International Conference on Cognitive and Neural Systems, ICCNS
  • 2008

  • Then and there in here and now
    Lipinski, J., & Sandamirskaya, Y.
    In Cognition Workshop
  • Dynamic Field Theory of Sequential Action: A Model and its Implementation on an Embodied Agent
    Sandamirskaya, Y., & Schöner, G.
    In ICDL
  • 2006

  • Dynamic field theory and embodied communication
    Sandamirskaya, Y., & Schöner, G.
    In I. Wachsmuth & Knoblich, G. (Eds.), Modeling communication with robots and virtual humans (pp. 260–278) Springer
  • Modelling and understanding of chatter
    Wolfrum, P., Gepperth, A., Sandamirskaya, Y., Webber, O., & Raabe, N.
    In Technical Reports, SFB 475, TU Dortmund