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2020 – today
- 2023
[i14]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023)- 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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