Yulia Sandamirskaya

Orcid: 0000-0003-4684-202X

According to our database1, Yulia Sandamirskaya authored at least 87 papers between 2006 and 2024.

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Bibliography

2024
Neuromorphic visual scene understanding with resonator networks.
Nat. Mac. Intell., 2024

Visual odometry with neuromorphic resonator networks.
Nat. Mac. Intell., 2024

Continual Learning for Autonomous Robots: A Prototype-based Approach.
CoRR, 2024

Neuromorphic force-control in an industrial task: validating energy and latency benefits.
CoRR, 2024

Event-Based Hand Detection on Neuromorphic Hardware Using a Sigma Delta Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Low-latency monocular depth estimation using event timing on neuromorphic hardware.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Neuromorphic computing hardware and neural architectures for robotics.
Sci. Robotics, 2022

Rethinking computing hardware for robots.
Sci. Robotics, 2022

Neuro-inspired electronic skin for robots.
Sci. Robotics, 2022

Neuromorphic Visual Odometry with Resonator Networks.
CoRR, 2022

What does it mean to represent? Mental representations as falsifiable memory patterns.
CoRR, 2022

Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Interactive continual learning for robots: a neuromorphic approach.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Fine-tuning Deep Reinforcement Learning Policies with r-STDP for Domain Adaptation.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021
Effective and natural human-robot interaction requires multidisciplinary research.
Sci. Robotics, 2021

Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook.
Proc. IEEE, 2021

Event-driven Vision and Control for UAVs on a Neuromorphic Chip.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Porting Deep Spiking Q-Networks to neuromorphic chip Loihi.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors.
IEEE Trans. Neural Networks Learn. Syst., 2020

Digital multiplier-less implementation of high-precision SDSP and synaptic strength-based STDP.
Int. J. Circuit Theory Appl., 2020

Digital Multiplier-Less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Towards neuromorphic control: A spiking neural network based PID controller for UAV.
Proceedings of the Robotics: Science and Systems XVI, 2020

Visual Pattern Recognition with on On-Chip Learning: Towards a Fully Neuromorphic Approach.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Event-based PID controller fully realized in neuromorphic hardware: a one DoF study.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Error estimation and correction in a spiking neural network for map formation in neuromorphic hardware.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Event-Based Attention and Tracking on Neuromorphic Hardware.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network Simulator.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

A Digital Multiplier-less Neuromorphic Model for Learning a Context-Dependent Task.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
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., 2019

Autonomous Sequence Generation for a Neural Dynamic Robot: Scene Perception, Serial Order, and Object-Oriented Movement.
Frontiers Neurorobotics, 2019

Neural State Machines for Robust Learning and Control of Neuromorphic Agents.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Digital Multiplier-less Event-Driven Spiking Neural Network Architecture for Learning a Context-Dependent Task.
CoRR, 2019

Closing the Accuracy Gap in an Event-Based Visual Recognition Task.
CoRR, 2019

The importance of space and time in neuromorphic cognitive agents.
CoRR, 2019

Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor.
Proceedings of the International Conference on Robotics and Automation, 2019

Event-Based Attention and Tracking on Neuromorphic Hardware.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018
Real-Time Depth From Focus on a Programmable Focal Plane Processor.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Learning Temporal Intervals in Neural Dynamics.
IEEE Trans. Cogn. Dev. Syst., 2018

Learning and adaptation: neural and behavioural mechanisms behind behaviour change.
Connect. Sci., 2018

Live Demonstration: An Active System for Depth Reconstruction using Event-Based Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

An Active Approach to Solving the Stereo Matching Problem using Event-Based Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Pose Estimation and Map Formation with Spiking Neural Networks: towards Neuromorphic SLAM.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System.
Frontiers Neurorobotics, 2017

Dynamic Neural Fields with Intrinsic Plasticity.
Frontiers Comput. Neurosci., 2017

Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance.
CoRR, 2017

Affective-associative two-process theory: a neurocomputational account of partial reinforcement extinction effects.
Biol. Cybern., 2017

A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor.
Proceedings of the Robotics: Science and Systems XIII, 2017

Obstacle avoidance with LGMD neuron: Towards a neuromorphic UAV implementation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Obstacle avoidance and target acquisition in mobile robots equipped with neuromorphic sensory-processing systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Live demonstration: Depth from focus on a focal plane processor using a focus tunable liquid lens.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

On-chip unsupervised learning in winner-take-all networks of spiking neurons.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

2016
A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip: Demo.
Proceedings of the 10th International Conference on Distributed Smart Camera, 2016

A Neuromorphic Approach for Tracking using Dynamic Neural Fields on a Programmable Vision-chip.
Proceedings of the 10th International Conference on Distributed Smart Camera, 2016

2015
Learning the Condition of Satisfaction of an Elementary Behavior in Dynamic Field Theory.
Paladyn J. Behav. Robotics, 2015

Parsing of action sequences: A neural dynamics approach.
Paladyn J. Behav. Robotics, 2015

Simultaneous planning and action: neural-dynamic sequencing of elementary behaviors in robot navigation.
Adapt. Behav., 2015

Learning to reach after learning to look: A study of autonomy in learning sensorimotor transformations.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics.
Proceedings of the From Animals to Animats 13, 2014

Using haptics to extract object shape from rotational manipulations.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Correcting pose estimates during tactile exploration of object shape: a neuro-robotic study.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Dynamic Field Theory: Conceptual foundations and applications to neuronally inspired cognitive and developmental robotics.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Neural-dynamic architecture for looking: Shift from visual to motor target representation for memory saccades.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Reinforcement and shaping in learning action sequences with neural dynamics.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

A neural dynamic model of associative two-process theory: The differential outcomes effect and infant development.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Learning to Look: A Dynamic Neural Fields Architecture for Gaze Shift Generation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial Language.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Report about the 35th annual meeting of the cognitive science society.
Cogn. Process., 2013

Autonomous reinforcement of behavioral sequences in neural dynamics.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Learning Sensorimotor Transformations with Dynamic Neural Fields.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Dynamic Field Theory: Conceptual Foundations and Applications in the Cognitive and Developmental Sciences.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Autonomy in Learning Sensorimotor Spaces with Dynamic Neural Fields.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
A neural-dynamic architecture for flexible spatial language: Intrinsic frames, the term "between", and autonomy.
Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012

A robotic architecture for action selection and behavioral organization inspired by human cognition.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Autonomous reinforcement of behavioral sequences in neural dynamics.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Neural dynamics of hierarchically organized sequences: A robotic implementation.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011
A neural-dynamic architecture for behavioral organization of an embodied agent.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

2010
Sequence generation in dynamic field theory.
PhD thesis, 2010

An embodied account of serial order: How instabilities drive sequence generation.
Neural Networks, 2010

Natural human-robot interaction through spatial language: A Dynamic Neural Field approach.
Proceedings of the 19th IEEE International Conference on Robot and Human Interactive Communication, 2010

Serial order in an acting system: A multidimensional dynamic neural fields implementation.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

2009
Behaviorally Flexible Spatial Communication: Robotic Demonstrations of a Neurodynamic Framework.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

2006
Dynamic Field Theory and Embodied Communication.
Proceedings of the Modeling Communication with Robots and Virtual Humans, 2006


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