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Event-driven stereo vision with orientation filters
(IEEE Computer Society, 2014)
The recently developed Dynamic Vision Sensors (DVS) sense dynamic visual information asynchronously and code it into trains of events with sub-micro second temporal resolution. This high temporal precision makes the ...
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On neuromorphic spiking architectures for asynchronous STDP memristive systems
(IEEE Computer Society, 2010)
Neuromorphic circuits and systems techniques have great potential for exploiting novel nanotechnology devices, which suffer from great parametric spread and high defect rate. In this paper we explore some potential ways ...
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An Instant-Startup Jitter-Tolerant Manchester- Encoding Serializer/Deserializer Scheme for Event-Driven Bit-Serial LVDS Interchip AER Links
(IEEE Computer Society, 2011)
This paper presents a serializer/deserializer scheme for asynchronous address event representation (AER) bit-serial interchip communications. Each serial AER (sAER) link uses four wires: a micro strip pair for low voltage ...
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Hardware Implementation of Convolutional STDP for On-line Visual Feature Learning
(IEEE. Institute of Electrical and Electronics Engineers, 2017)
We present a highly hardware friendly STDP (Spike Timing Dependent Plasticity) learning rule for training Spiking Convolutional Cores in Unsupervised mode and training Fully Connected Classifiers in Supervised ...
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Spike-Based Convolutional Network for real-time processing
(IEEE Computer Society, 2010)
In this paper we propose the first bio-inspired sixlayer convolutional network (ConvNet) non-frame based that can be implemented with already physically available spikebased electronic devices. The system was designed ...
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STDP and STDP Variations with Memristors for Spiking Neuromorphic Learning Systems
(2013)
In this paper we review several ways of realizing asynchronous Spike-Timing-DependentPlasticity (STDP) using memristors as synapses. Our focus is on how to use individual memristors to implement synaptic weight ...
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Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock-Correction for Scalable Neuromorphic Systems
(IEEE Computer Society, 2017)
Address-Event-Representation (AER) is a widely extended asynchronous technique for interchanging “neural spikes” among different hardware elements in Neuromorphic Systems. Conventional AER links use parallel physical ...
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High-Speed Serial Interfaces for Event-Driven Neuromorphic Systems
(IEEE Computer Society, 2015)
Neuromorphic Engineering is the discipline of building sensory processing artificial systems inspired in the neural processing found in living beings. Biological neural brains show massive connectivity among neurons, ...
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Live demonstration: Hardware implementation of convolutional STDP for on-line visual feature learning
(IEEE. Institute of Electrical and Electronics Engineers, 2017)
We present live demonstration of a hardware that can learn visual features on-line and in real-time during presentation of objects. Input Spikes are coming from a bio-inspired silicon retina or Dynamic Vision Sensor (DVS) ...