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Ponencia
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, ...
Ponencia
On scalable spiking convnet hardware for cortex-like visual sensory processing systems
(IEEE Computer Society, 2010)
This paper summarizes how Convolutional Neural Networks (ConvNets) can be implemented in hardware using Spiking neural network Address-Event-Representation (AER) technology, for sophisticated pattern and object recognition ...
Ponencia
A Current Attenuator for Efficient Memristive Crossbars Read-Out
(IEEE Computer Society, 2019)
This paper presents a new current attenuator circuit to scale down the inference currents in memristor based crossbars that drive integrate-and-fire neurons, which subsequently allows to reduce the size of integrating ...
Artículo
Generalized reconfigurable memristive dynamical system (MDS) for neuromorphic applications
(Frontiers Media, 2015)
This study firstly presents (i) a novel general cellular mapping scheme for two dimensional neuromorphic dynamical systems such as bio-inspired neuron models, and (ii) an efficient mixed analog-digital circuit, which can ...
Ponencia
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 ...
Artículo
On algorithmic rate-coded AER generation
(Institute of Electrical and Electronics Engineers, 2006)
This paper addresses the problem of converting a conventional video stream based on sequences of frames into the spike event-based representation known as the address-event-representation (AER). In this paper we concentrate ...
Ponencia
High-Speed Character Recognition System based on a complex hierarchical AER architecture
(IEEE Computer Society, 2008)
In this paper we briefly summarize the fundamental properties of spikes processing applied to artificial vision systems. This sensing and processing technology is capable of very high speed throughput, because it does ...
Artículo
On the design and characterization of femtoampere current-mode circuits
(Institute of Electrical and Electronics Engineers, 2003)
In this paper, we show and validate a reliable circuit design technique based on source voltage shifting for current-mode signal processing down to femtoamperes. The technique involves specific-current extractors and ...
Ponencia
OTA-C oscillator with low frequency variations for on-chip clock generation in serial LVDS-AER links
(IEEE Computer Society, 2009)
This paper presents the design and simulation of an OTA-C oscillator intended to be used as on-chip frequency reference. This reference will be part of the high speed clock generation circuit for Manchester serial LVDS-AER ...
Artículo
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity
(IEEE Computer Society, 2019)
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is ...