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2020 – today
- 2022
[j22]Fengyuan Liu
, Sweety Deswal, Adamos Christou, Yulia Sandamirskaya, Mohsen Kaboli, Ravinder Dahiya:
Neuro-inspired electronic skin for robots. Sci. Robotics 7(67) (2022)- [j21]Yulia Sandamirskaya:
Rethinking computing hardware for robots. Sci. Robotics 7(67) (2022) - [j20]Yulia Sandamirskaya, Mohsen Kaboli, Jörg Conradt, Tansu Celikel:
Neuromorphic computing hardware and neural architectures for robotics. Sci. Robotics 7(67) (2022) - [c51]Elvin Hajizada, Patrick Berggold, Massimiliano Iacono, Arren Glover, Yulia Sandamirskaya:
Interactive continual learning for robots: a neuromorphic approach. ICONS 2022: 1:1-1:10 - [c50]Mahmoud Akl, Yulia Sandamirskaya, Deniz Ergene, Florian Walter, Alois C. Knoll:
Fine-tuning Deep Reinforcement Learning Policies with r-STDP for Domain Adaptation. ICONS 2022: 14:1-14:8 - [c49]Alpha Renner, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady:
Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays. ICONS 2022: 27:1-27:5 - [i13]Eloy Parra-Barrero, Yulia Sandamirskaya:
What does it mean to represent? Mental representations as falsifiable memory patterns. CoRR abs/2203.02956 (2022) - [i12]Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady:
Neuromorphic Visual Scene Understanding with Resonator Networks. CoRR abs/2208.12880 (2022) - [i11]Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya:
Neuromorphic Visual Odometry with Resonator Networks. CoRR abs/2209.02000 (2022) - 2021
- [j19]Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud:
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook. Proc. IEEE 109(5): 911-934 (2021) - [j18]Danica Kragic, Yulia Sandamirskaya:
Effective and natural human-robot interaction requires multidisciplinary research. Sci. Robotics 6(58) (2021) - [c48]Mahmoud Akl, Yulia Sandamirskaya, Florian Walter, Alois C. Knoll:
Porting Deep Spiking Q-Networks to neuromorphic chip Loihi. ICONS 2021: 13:1-13:7 - [c47]Antonio Vitale, Alpha Renner, Celine Nauer, Davide Scaramuzza, Yulia Sandamirskaya:
Event-driven Vision and Control for UAVs on a Neuromorphic Chip. ICRA 2021: 103-109 - [i10]Antonio Vitale, Alpha Renner, Celine Nauer, Davide Scaramuzza, Yulia Sandamirskaya:
Event-driven Vision and Control for UAVs on a Neuromorphic Chip. CoRR abs/2108.03694 (2021) - 2020
- [j17]Hajar Asgari, Babak Mazloom-Nezhad Maybodi, Raphaela Kreiser, Yulia Sandamirskaya:
Digital Multiplier-Less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 498-511 (2020) - [j16]Hajar Asgari, Babak Mazloom-Nezhad Maybodi, Yulia Sandamirskaya:
Digital multiplier-less implementation of high-precision SDSP and synaptic strength-based STDP. Int. J. Circuit Theory Appl. 48(5): 724-738 (2020) - [j15]Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya:
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3305-3318 (2020) - [c46]Seungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu:
A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network. AICAS 2020: 79-83 - [c45]Hajar Asgari, Babak Mazloom-Nezhad Maybodi, Raphaela Kreiser, Yulia Sandamirskaya:
A Digital Multiplier-less Neuromorphic Model for Learning a Context-Dependent Task. AICAS 2020: 123-127 - [c44]Seungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu:
Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network Simulator. AICAS 2020: 131 - [c43]Alpha Renner, Matthew Evanusa, Garrick Orchard, Yulia Sandamirskaya:
Event-Based Attention and Tracking on Neuromorphic Hardware. AICAS 2020: 132 - [c42]Raphaela Kreiser, Gabriel Waibel, Núria Armengol, Alpha Renner, Yulia Sandamirskaya:
Error estimation and correction in a spiking neural network for map formation in neuromorphic hardware. ICRA 2020: 6134-6140 - [c41]Rasmus Karnøe Stagsted, Antonio Vitale, Alpha Renner, Leon Bonde Larsen, Anders Lyhne Christensen, Yulia Sandamirskaya:
Event-based PID controller fully realized in neuromorphic hardware: a one DoF study. IROS 2020: 10939-10944 - [c40]Sandro Baumgartner, Alpha Renner, Raphaela Kreiser, Dongchen Liang, Giacomo Indiveri, Yulia Sandamirskaya:
Visual Pattern Recognition with on On-Chip Learning: Towards a Fully Neuromorphic Approach. ISCAS 2020: 1-5 - [c39]Rasmus Karnøe Stagsted, Antonio Vitale, Jonas Binz, Alpha Renner, Leon Bonde Larsen, Yulia Sandamirskaya:
Towards neuromorphic control: A spiking neural network based PID controller for UAV. Robotics: Science and Systems 2020 - [i9]Sandro Baumgartner, Alpha Renner, Raphaela Kreiser, Dongchen Liang, Giacomo Indiveri, Yulia Sandamirskaya:
Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach. CoRR abs/2008.03470 (2020)
2010 – 2019
- 2019
- [j14]Dongchen Liang, Raphaela Kreiser, Carsten Nielsen, Ning Qiao, Yulia Sandamirskaya, Giacomo Indiveri:
Neural State Machines for Robust Learning and Control of Neuromorphic Agents. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 679-689 (2019) - [j13]Jan Tekülve, Adrien Fois, Yulia Sandamirskaya, Gregor Schöner:
Autonomous Sequence Generation for a Neural Dynamic Robot: Scene Perception, Serial Order, and Object-Oriented Movement. Frontiers Neurorobotics 13: 95 (2019) - [j12]Giacomo Indiveri, Yulia Sandamirskaya:
The Importance of Space and Time for Signal Processing in Neuromorphic Agents: The Challenge of Developing Low-Power, Autonomous Agents That Interact With the Environment. IEEE Signal Process. Mag. 36(6): 16-28 (2019) - [c38]Dongchen Liang, Raphaela Kreiser, Carsten Nielsen, Ning Qiao, Yulia Sandamirskaya, Giacomo Indiveri:
Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents. AICAS 2019: 71-75 - [c37]Alpha Renner, Matthew Evanusa, Yulia Sandamirskaya:
Event-Based Attention and Tracking on Neuromorphic Hardware. CVPR Workshops 2019: 1709-1716 - [c36]Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser, Ning Qiao, Yulia Sandamirskaya:
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. ICRA 2019: 9631-9637 - [i8]Giacomo Indiveri, Yulia Sandamirskaya:
The importance of space and time in neuromorphic cognitive agents. CoRR abs/1902.09791 (2019) - [i7]Bodo Rückauer, Nicolas Känzig, Shih-Chii Liu, Tobi Delbrück, Yulia Sandamirskaya:
Closing the Accuracy Gap in an Event-Based Visual Recognition Task. CoRR abs/1906.08859 (2019) - [i6]Hajar Asgari, Babak Mazloom-Nezhad Maybodi, Raphaela Kreiser, Yulia Sandamirskaya:
Digital Multiplier-less Event-Driven Spiking Neural Network Architecture for Learning a Context-Dependent Task. CoRR abs/1906.09835 (2019) - [i5]Alpha Renner, Matthew Evanusa, Yulia Sandamirskaya:
Event-based attention and tracking on neuromorphic hardware. CoRR abs/1907.04060 (2019) - [i4]Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya:
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors. CoRR abs/1910.07960 (2019) - 2018
- [j11]Robert Lowe, Yulia Sandamirskaya:
Learning and adaptation: neural and behavioural mechanisms behind behaviour change. Connect. Sci. 30(1): 1-4 (2018) - [j10]Boris Durán, Yulia Sandamirskaya:
Learning Temporal Intervals in Neural Dynamics. IEEE Trans. Cogn. Dev. Syst. 10(2): 359-372 (2018) - [j9]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Jonathan Müller, Yulia Sandamirskaya, Piotr Dudek:
Real-Time Depth From Focus on a Programmable Focal Plane Processor. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(3): 925-934 (2018) - [c35]Raphaela Kreiser, Alpha Renner, Yulia Sandamirskaya, Panin Pienroj:
Pose Estimation and Map Formation with Spiking Neural Networks: towards Neuromorphic SLAM. IROS 2018: 2159-2166 - [c34]Raphaela Kreiser, Matteo Cartiglia, Julien N. P. Martel, Jörg Conradt, Yulia Sandamirskaya:
A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset. ISCAS 2018: 1-5 - [c33]Julien N. P. Martel, Jonathan Müller, Jörg Conradt, Yulia Sandamirskaya:
An Active Approach to Solving the Stereo Matching Problem using Event-Based Sensors. ISCAS 2018: 1-5 - [c32]Julien N. P. Martel, Jonathan Müller, Jörg Conradt, Yulia Sandamirskaya:
Live Demonstration: An Active System for Depth Reconstruction using Event-Based Sensors. ISCAS 2018: 1- - [i3]Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser, Ning Qiao, Yulia Sandamirskaya:
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. CoRR abs/1810.10801 (2018) - 2017
- [j8]Robert Lowe, Alexander Almer, Erik Billing, Yulia Sandamirskaya, Christian Balkenius:
Affective-associative two-process theory: a neurocomputational account of partial reinforcement extinction effects. Biol. Cybern. 111(5-6): 365-388 (2017) - [j7]Claudius Strub, Gregor Schöner, Florentin Wörgötter, Yulia Sandamirskaya:
Dynamic Neural Fields with Intrinsic Plasticity. Frontiers Comput. Neurosci. 11: 74 (2017) - [j6]Moritz B. Milde, Hermann Blum, Alexander Dietmüller, Dora Sumislawska, Jörg Conradt, Giacomo Indiveri, Yulia Sandamirskaya:
Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System. Frontiers Neurorobotics 11: 28 (2017) - [c31]Raphaela Kreiser, Timoleon Moraitis, Yulia Sandamirskaya, Giacomo Indiveri:
On-chip unsupervised learning in winner-take-all networks of spiking neurons. BioCAS 2017: 1-4 - [c30]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Jonathan Müller, Yulia Sandamirskaya, Piotr Dudek:
Live demonstration: Depth from focus on a focal plane processor using a focus tunable liquid lens. ISCAS 2017: 1 - [c29]Moritz B. Milde, Alexander Dietmüller, Hermann Blum, Giacomo Indiveri, Yulia Sandamirskaya:
Obstacle avoidance and target acquisition in mobile robots equipped with neuromorphic sensory-processing systems. ISCAS 2017: 1-4 - [c28]Llewyn Salt, Giacomo Indiveri, Yulia Sandamirskaya:
Obstacle avoidance with LGMD neuron: Towards a neuromorphic UAV implementation. ISCAS 2017: 1-4 - [c27]Hermann Blum, Alexander Dietmüller, Moritz B. Milde, Jörg Conradt, Giacomo Indiveri, Yulia Sandamirskaya:
A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor. Robotics: Science and Systems 2017 - [e1]Ron Chrisley, Vincent C. Müller, Yulia Sandamirskaya, Markus Vincze:
Cognitive Robot Architectures, Proceedings of EUCognition 2016 European Association for Cognitive Systems, Vienna, Austria, 8-9 December, 2016. CEUR Workshop Proceedings 1855, CEUR-WS.org 2017 [contents] - [i2]Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya:
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance. CoRR abs/1704.04853 (2017) - 2016
- [c26]Julien N. P. Martel, Yulia Sandamirskaya:
A Neuromorphic Approach for Tracking using Dynamic Neural Fields on a Programmable Vision-chip. ICDSC 2016: 148-154 - [c25]Julien N. P. Martel, Yulia Sandamirskaya, Piotr Dudek:
A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip: Demo. ICDSC 2016: 212-213 - 2015
- [j5]Erik Billing, Robert Lowe, Yulia Sandamirskaya:
Simultaneous planning and action: neural-dynamic sequencing of elementary behaviors in robot navigation. Adapt. Behav. 23(5): 243-264 (2015) - [j4]David Lobato, Yulia Sandamirskaya, Mathis Richter, Gregor Schöner:
Parsing of action sequences: A neural dynamics approach. Paladyn J. Behav. Robotics 6(1) (2015) - [j3]Matthew D. Luciw, Sohrob Kazerounian, Konstantin Lahkman, Mathis Richter, Yulia Sandamirskaya:
Learning the Condition of Satisfaction of an Elementary Behavior in Dynamic Field Theory. Paladyn J. Behav. Robotics 6(1) (2015) - [c24]Claudia Rudolph, Tobias Storck, Yulia Sandamirskaya:
Learning to reach after learning to look: A study of autonomy in learning sensorimotor transformations. IJCNN 2015: 1-6 - 2014
- [c23]Mathis Richter, Jonas Lins, Sebastian Schneegans, Yulia Sandamirskaya, Gregor Schöner:
Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial Language. CogSci 2014 - [c22]Christian Bell, Tobias Storck, Yulia Sandamirskaya:
Learning to Look: A Dynamic Neural Fields Architecture for Gaze Shift Generation. ICANN 2014: 699-706 - [c21]Yulia Sandamirskaya, Sebastian Schneegans, Gregor Schöner:
Dynamic Field Theory: Conceptual foundations and applications to neuronally inspired cognitive and developmental robotics. ICDL-EPIROB 2014: 4-5 - [c20]Claudius Strub, Florentin Wörgötter, Helge J. Ritter, Yulia Sandamirskaya:
Correcting pose estimates during tactile exploration of object shape: a neuro-robotic study. ICDL-EPIROB 2014: 26-33 - [c19]Yulia Sandamirskaya, Tobias Storck:
Neural-dynamic architecture for looking: Shift from visual to motor target representation for memory saccades. ICDL-EPIROB 2014: 34-40 - [c18]Matthew D. Luciw, Yulia Sandamirskaya, Sohrob Kazerounian, Jürgen Schmidhuber, Gregor Schöner:
Reinforcement and shaping in learning action sequences with neural dynamics. ICDL-EPIROB 2014: 48-55 - [c17]Robert Lowe, Yulia Sandamirskaya, Erik Billing:
A neural dynamic model of associative two-process theory: The differential outcomes effect and infant development. ICDL-EPIROB 2014: 440-447 - [c16]Claudius Strub, Florentin Wörgötter, Helge J. Ritter, Yulia Sandamirskaya:
Using haptics to extract object shape from rotational manipulations. IROS 2014: 2179-2186 - [c15]Matthew D. Luciw, Sohrob Kazerounian, Yulia Sandamirskaya, Gregor Schöner, Jürgen Schmidhuber:
Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics. SAB 2014: 198-209 - 2013
- [j2]Yulia Sandamirskaya:
Report about the 35th annual meeting of the cognitive science society. Cogn. Process. 14(4): 443-444 (2013) - [c14]Yulia Sandamirskaya:
Autonomy in Learning Sensorimotor Spaces with Dynamic Neural Fields. CogSci 2013 - [c13]John P. Spencer, Gregor Schöner, Yulia Sandamirskaya:
Dynamic Field Theory: Conceptual Foundations and Applications in the Cognitive and Developmental Sciences. CogSci 2013 - [c12]Yulia Sandamirskaya, Jörg Conradt:
Learning Sensorimotor Transformations with Dynamic Neural Fields. ICANN 2013: 248-255 - [c11]Sohrob Kazerounian, Matthew D. Luciw, Mathis Richter, Yulia Sandamirskaya:
Autonomous reinforcement of behavioral sequences in neural dynamics. IJCNN 2013: 1-8 - 2012
- [c10]Boris Durán, Yulia Sandamirskaya:
Neural dynamics of hierarchically organized sequences: A robotic implementation. Humanoids 2012: 357-362 - [c9]Boris Durán, Yulia Sandamirskaya, Gregor Schöner:
A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences. ICANN (1) 2012: 25-32 - [c8]Sohrob Kazerounian, Matthew D. Luciw, Yulia Sandamirskaya, Mathis Richter, Jürgen Schmidhuber, Gregor Schöner:
Autonomous reinforcement of behavioral sequences in neural dynamics. ICDL-EPIROB 2012: 1-2 - [c7]Mathis Richter, Yulia Sandamirskaya, Gregor Schöner:
A robotic architecture for action selection and behavioral organization inspired by human cognition. IROS 2012: 2457-2464 - [c6]Ulja van Hengel, Yulia Sandamirskaya, Sebastian Schneegans, Gregor Schöner:
A neural-dynamic architecture for flexible spatial language: Intrinsic frames, the term "between", and autonomy. RO-MAN 2012: 150-157 - [i1]Sohrob Kazerounian, Matthew D. Luciw, Mathis Richter, Yulia Sandamirskaya:
Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics. CoRR abs/1210.3569 (2012) - 2011
- [c5]Yulia Sandamirskaya, Mathis Richter, Gregor Schöner:
A neural-dynamic architecture for behavioral organization of an embodied agent. ICDL-EPIROB 2011: 1-7 - 2010
- [b1]Yulia Sandamirskaya:
Sequence generation in dynamic field theory. Ruhr University Bochum, 2010 - [j1]Yulia Sandamirskaya, Gregor Schöner:
An embodied account of serial order: How instabilities drive sequence generation. Neural Networks 23(10): 1164-1179 (2010) - [c4]Yulia Sandamirskaya, Gregor Schöner:
Serial order in an acting system: A multidimensional dynamic neural fields implementation. ICDL 2010: 251-256 - [c3]Yulia Sandamirskaya, John Lipinski, Ioannis Iossifidis, Gregor Schöner:
Natural human-robot interaction through spatial language: A Dynamic Neural Field approach. RO-MAN 2010: 600-607
2000 – 2009
- 2009
- [c2]John Lipinski, Yulia Sandamirskaya, Gregor Schöner:
Behaviorally Flexible Spatial Communication: Robotic Demonstrations of a Neurodynamic Framework. KI 2009: 257-264 - 2006
- [c1]Yulia Sandamirskaya, Gregor Schöner:
Dynamic Field Theory and Embodied Communication. ZiF Workshop 2006: 260-278
Coauthor Index
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