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Ponencia
Building Blocks for Spikes Signals Processing
(IEEE Computer Society, 2010)
Neuromorphic engineers study models and implementations of systems that mimic neurons behavior in the brain. Neuro-inspired systems commonly use spikes to represent information. This representation has several advantages: ...
Ponencia
On the AER Convolution Processors for FPGA
(IEEE Computer Society, 2010)
Image convolution operations in digital computer systems are usually very expensive operations in terms of resource consumption (processor resources and processing time) for an efficient Real-Time application. In these ...
Ponencia
Neuro-inspired system for real-time vision sensor tilt correction
(IEEE Computer Society, 2010)
Neuromorphic engineering tries to mimic biological information processing. Address-Event-Representation (AER) is an asynchronous protocol for transferring the information of spiking neuro-inspired systems. Currently AER ...
Ponencia
Live demonstration: Neuro-inspired system for realtime vision tilt correction
(IEEE Computer Society, 2010)
Correcting digital images tilt needs huge quantities of memory, high computational resources, and use to take a considerable amount of time. This demonstration shows how a spikes-based silicon retina dynamic vision ...