Results 41 to 50 of about 17,646 (123)
Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays [PDF]
, 2012 Sheik S, Chicca E, Indiveri G. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.Axonal delays are used in neural ...
Chicca, Elisabetta +2 more
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The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems
, 2018 Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of neural ...
Manohar, Rajit, Moradi, Saber
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Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition [PDF]
, 2015 A neuromorphic chip that combines CMOS analog spiking neurons and memristive synapses offers a promising solution to brain-inspired computing, as it can provide massive neural network parallelism and density.
Saxena, Vishal, Wu, Xinyu, Zhu, Kehan
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Neuromorphic NEF-Based Inverse Kinematics and PID Control
Frontiers in Neurorobotics, 2021 Neuromorphic implementation of robotic control has been shown to outperform conventional control paradigms in terms of robustness to perturbations and adaptation to varying conditions.
Yuval Zaidel +4 more
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Tutorial: Neuromorphic spiking neural networks for temporal learning
, 2018 Spiking neural networks (SNN) as time-dependent hypotheses consisting of spiking nodes (neurons) and directed edges (synapses) are believed to offer unique solutions to reward prediction tasks and the related feedback that are classified as reinforcement
Jeong, Doo Seok
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A CMOS Spiking Neuron for Brain-Inspired Neural Networks with Resistive Synapses and In-Situ Learning [PDF]
, 2015 Nanoscale resistive memories are expected to fuel dense integration of electronic synapses for large-scale neuromorphic system. To realize such a brain-inspired computing chip, a compact CMOS spiking neuron that performs in-situ learning and computing ...
Balagopal, Sakkarapani +3 more
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SVITE: A Spike-Based VITE Neuro-Inspired Robot Controller [PDF]
, 2013 This paper presents an implementation of a neuro-inspired algorithm called VITE (Vector Integration To End Point) in FPGA in the spikes domain. VITE aims to generate a non-planned trajectory for reaching tasks in robots. The algorithm has been adapted
Domínguez Morales, Manuel Jesús +4 more
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Spike-based control monitoring and analysis with Address Event Representation [PDF]
, 2009 Neuromorphic engineering tries to mimic biological information processing. Address-Event Representation (AER) is a neuromorphic communication protocol for spiking neurons between different chips.
Berner, R. +4 more
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From Vision Sensor to Actuators, Spike Based Robot Control through Address-Event-Representation [PDF]
, 2009 One field of the neuroscience is the neuroinformatic whose aim is to develop auto-reconfigurable systems that mimic the human body and brain. In this paper we present a neuro-inspired spike based mobile robot.
Civit Balcells, Antón +5 more
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Neuromorphic Computing and EngineeringIn-memory computing facilitates efficient parallel computing based on the programmable memristor crossbar array. Proficient hardware image processing can be implemented by utilizing the analog vector-matrix operation with multiple memory states of the ...
Dong Yeon Woo +13 more
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