CAVIAR: a 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing- learning-actuating system for high-speed visual object recognition and tracking.
about
AHaH computing-from metastable switches to attractors to machine learningEvent-Based Computation of Motion Flow on a Neuromorphic Analog Neural Platform.Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other DetailsAn FPGA Implementation of a Polychronous Spiking Neural Network with Delay AdaptationPyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systemsOn spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex.Finding a roadmap to achieve large neuromorphic hardware systemsEmergent Auditory Feature Tuning in a Real-Time Neuromorphic VLSI System.Robotic goalie with 3 ms reaction time at 4% CPU load using event-based dynamic vision sensorEvent-driven visual attention for the humanoid robot iCubOn the use of orientation filters for 3D reconstruction in event-driven stereo vision.A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems.A Saccade Based Framework for Real-Time Motion Segmentation Using Event Based Vision Sensors.Closed-loop brain-machine-body interfaces for noninvasive rehabilitation of movement disordersEmulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease.A case for spiking neural network simulation based on configurable multiple-FPGA systemsCharacterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms.Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks.Real time unsupervised learning of visual stimuli in neuromorphic VLSI systemsVideo time encoding machines.Reverse engineering the cognitive brainReal-time biomimetic Central Pattern Generators in an FPGA for hybrid experimentsAn Event-Based Neurobiological Recognition System with Orientation Detector for Objects in Multiple Orientations.STDP and STDP variations with memristors for spiking neuromorphic learning systems.A survey on FPGA-based sensor systems: towards intelligent and reconfigurable low-power sensors for computer vision, control and signal processing.VLSI Implementation of a 2.8 Gevent/s Packet-Based AER Interface with Routing and Event Sorting Functionality.Multiclass Classification by Adaptive Network of Dendritic Neurons with Binary Synapses Using Structural PlasticityA systematic method for configuring VLSI networks of spiking neurons.Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing.Switched-capacitor realization of presynaptic short-term-plasticity and stop-learning synapses in 28 nm CMOS.Robust Working Memory in an Asynchronously Spiking Neural Network Realized with Neuromorphic VLSI.Selective change driven imaging: a biomimetic visual sensing strategy.Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.Visual tracking using neuromorphic asynchronous event-based cameras.A neuro-inspired spike-based PID motor controller for multi-motor robots with low cost FPGAs.The ripple pond: enabling spiking networks to see.Multilayer processing of spatiotemporal spike patterns in a neuron with active dendrites.Real-time emulation of parallel channel responses in the vertebrate retina and the primary visual cortex.Neuromorphic meets neuromechanics, part I: the methodology and implementation.Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites.
P2860
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P2860
CAVIAR: a 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing- learning-actuating system for high-speed visual object recognition and tracking.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh
2009年學術文章
@zh-hant
name
CAVIAR: a 45k neuron, 5M synap ...... ject recognition and tracking.
@en
CAVIAR: a 45k neuron, 5M synap ...... ject recognition and tracking.
@nl
type
label
CAVIAR: a 45k neuron, 5M synap ...... ject recognition and tracking.
@en
CAVIAR: a 45k neuron, 5M synap ...... ject recognition and tracking.
@nl
prefLabel
CAVIAR: a 45k neuron, 5M synap ...... ject recognition and tracking.
@en
CAVIAR: a 45k neuron, 5M synap ...... ject recognition and tracking.
@nl
P2093
P356
P1476
CAVIAR: a 45k neuron, 5M synap ...... ject recognition and tracking.
@en
P2093
Alejandro Linares-Barranco
Anton Civit Ballcels
Antonio J Acosta-Jimenez
Bernabé Linares-Barranco
Francisco Gomez-Rodriguez
Gabriel Jimenez-Moreno
Luis Camunas-Mesa
Manuel Rivas-Perez
Matthias Oster
Patrick Lichtsteiner
P304
P356
10.1109/TNN.2009.2023653
P577
2009-07-24T00:00:00Z