Search Results - "Kreiser, Raphaela"

An On-chip Spiking Neural Network for Estimation of the Head Pose of the iCub Robot by Kreiser, Raphaela, Renner, Alpha, Leite, Vanessa R. C., Serhan, Baris, Bartolozzi, Chiara, Glover, Arren, Sandamirskaya, Yulia

“…In this work, we present a neuromorphic architecture for head pose estimation and scene representation for the humanoid iCub robot. The spiking neuronal…”
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Organizing Sequential Memory in a Neuromorphic Device Using Dynamic Neural Fields by Kreiser, Raphaela, Aathmani, Dora, Qiao, Ning, Indiveri, Giacomo, Sandamirskaya, Yulia

“…Neuromorphic Very Large Scale Integration (VLSI) devices emulate the activation dynamics of biological neuronal networks using either mixed-signal…”
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Pose Estimation and Map Formation with Spiking Neural Networks: towards Neuromorphic SLAM by Kreiser, Raphaela, Renner, Alpha, Sandamirskaya, Yulia, Pienroj, Panin

“…In this paper, we investigate the use of ultra low-power, mixed signal analog/digital neuromorphic hardware for implementation of biologically inspired…”
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Neural State Machines for Robust Learning and Control of Neuromorphic Agents by Liang, Dongchen, Kreiser, Raphaela, Nielsen, Carsten, Qiao, Ning, Sandamirskaya, Yulia, Indiveri, Giacomo

“…Mixed-signal analog/digital neuromorphic circuits are characterized by ultra-low power consumption, real-time processing abilities, and low-latency response…”
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Digital Multiplier-Less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task by Asgari, Hajar, Maybodi, Babak Mazloom-Nezhad, Kreiser, Raphaela, Sandamirskaya, Yulia

“…Neuromorphic engineers develop event-based spiking neural networks (SNNs) in hardware. These SNNs closer resemble the dynamics of biological neurons than…”
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Visual Pattern Recognition with on On-Chip Learning: Towards a Fully Neuromorphic Approach by Baumgartner, Sandro, Renner, Alpha, Kreiser, Raphaela, Liang, Dongchen, Indiveri, Giacomo, Sandamirskaya, Yulia

“…We present a spiking neural network (SNN) for visual pattern recognition with on-chip learning on neuromorphic hardware. We show how this network can learn…”
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A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset by Kreiser, Raphaela, Cartiglia, Matteo, Martel, Julien N. P., Conradt, Jorg, Sandamirskaya, Yulia

“…Simultaneous localization and mapping (SLAM) is one of the core tasks of mobile autonomous robots. Looking for power efficient and embedded solutions for SLAM…”
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Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor by Glatz, Sebastian, Martel, Julien, Kreiser, Raphaela, Qiao, Ning, Sandamirskaya, Yulia

“…Neuromorphic computing is a new paradigm for design of both the computing hardware and algorithms inspired by biological neural networks. The event-based…”
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Error estimation and correction in a spiking neural network for map formation in neuromorphic hardware by Kreiser, Raphaela, Waibel, Gabriel, Armengol, Nuria, Renner, Alpha, Sandamirskaya, Yulia

“…Neuromorphic hardware offers computing platforms for the efficient implementation of spiking neural networks (SNNs) that can be used for robot control. Here,…”
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On-chip unsupervised learning in winner-take-all networks of spiking neurons by Kreiser, Raphaela, Moraitis, Timoleon, Sandamirskaya, Yulia, Indiveri, Giacomo

“…The ability to learn re-occurring patterns in real-time sensory inputs in an unsupervised way is a key feature of neural networks that can enable them to carry…”
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Digital Multiplier-less Event-Driven Spiking Neural Network Architecture for Learning a Context-Dependent Task by Asgari, Hajar, Maybodi, BabakMazloom-Nezhad, Kreiser, Raphaela, Sandamirskaya, Yulia

“…Neuromorphic engineers aim to develop event-based spiking neural networks (SNNs) in hardware. These SNNs closer resemble dynamics of biological neurons than…”
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A Digital Multiplier-less Neuromorphic Model for Learning a Context-Dependent Task by Asgari, Hajar, Maybodi, Babak Mazloom-Nezhad, Kreiser, Raphaela, Sandamirskaya, Yulia

“…Highly efficient performance-resources trade-off of the biological brain is a motivation for research on neuromorphic computing. Neuromorphic engineers develop…”
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Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach by Baumgartner, Sandro, Renner, Alpha, Kreiser, Raphaela, Liang, Dongchen, Indiveri, Giacomo, Sandamirskaya, Yulia

“…We present a spiking neural network (SNN) for visual pattern recognition with on-chip learning on neuromorphichardware. We show how this network can learn…”
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Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents by Liang, Dongchen, Kreiser, Raphaela, Nielsen, Carsten, Qiao, Ning, Sandamirskaya, Yulia, Indiveri, Giacomo

“…Mixed-signal analog/digital neuromorphic circuits are characterized by ultra-low power consumption, real-time processing abilities, and low-latency response…”
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Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor by Glatz, Sebastian, Martel, Julien N. P, Kreiser, Raphaela, Qiao, Ning, Sandamirskaya, Yulia

“…IEEE International Conference on Robotics and Automation (ICRA) 2019 Neuromorphic computing is a new paradigm for design of both the computing hardware and…”
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