Abstract: Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for humans. Although they were able to perform these tasks, the […]
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ISCAS 2017 Live Demonstration – Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker
Prof. Alejandro Linares and Juan Pedro Domínguez presented a live Demonstration in ISCAS 2017. Abstract: In this demonstration we present a spiking neural network architecture for audio samples classification using […]
Read moreNullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Abstract: Convolutional neural networks (CNNs) have be come the dominant neural network architecture for solving many state-of-the-art (SOA) visual processing tasks. Even though Graphical Processing Units (GPUs) are most often […]
Read moreNAVIS: Neuromorphic Auditory VISualizer Tool
Abstract: This software presents diverse utilities to develop the first post-processing layer using the neuromorphic auditory sensor’s (NAS) information. The NAS used implements a cascade filters architecture in FPGA, imitating […]
Read moreA Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach
Abstract: This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of a neuromorphic binaural auditory sensor, designed completely in the spike domain. Unlike digital […]
Read moreA spiking neural network for real-time Spanish vowel phonemes recognition
Abstract: This paper explores neuromorphic approach capabilities applied to real-time speech processing. A spiking recognition neural network composed of three types of neurons is proposed. These neurons are based on […]
Read moreED-ScorBot
Event-Driven ScorBot a neuromorphic research platform for Event-Driven based systems testing. RTC lab. has modified an old SCOTBOT-ER VII and has created a research platform that used AER (Address Event […]
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