Sound source localization (SSL) is used in various applications such as industrial noise-control, speech detection in ...

The brain has great capacity for computation and efficient resolution of complex problems, far surpassing modern computers. ...

In this work, it is intended to advance on the development of the neuromorphic audio processing systems in robots through ...

Neuromorphic systems are a viable alternative to conventional systems for real-time tasks with constrained resources. Their ...

One of the most interesting and still growing sci entific fields is neuromorphic engineering, which is focused on studying ...

Hearing can be considered as one of the most important senses since it plays a key role in the audiovisual learning process. ...

Neuromorphic computation processes sensors output in the spiking domain, which presents constraints in many cases when ...

The human brain is the most powerful and efficient machine in existence today, surpassing in many ways the ca pabilities ...

The correct identi cation of burst events is crucial in many scenarios, ranging from basic neuroscience to biomedical ...

Monitoring animals’ behavior living in wild or semi-wild environments is a very interesting subject for biologists who ...

Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases ...

Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with ...

Visualizing the output from event-based sensors and analyzing the information within it is crucial when developing ...

Este artículo presenta una práctica de laboratorio impartida mediante una metodología de aprendizaje basado en proyectos ...

OpenNAS is an open-source tool for automatically generating the source files to create a Neuromorphic Auditory Sensor (NAS) ...

In recent years tremendous efforts have been done to advance the state of the art for Natural Language Processing (NLP) ...

Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient way regarding the body ...

The brain is able to solve complex tasks in real time by combining different sensory cues with previously acquired knowledge. ...

Neuromorphic vision sensors detect changes in luminosity taking inspiration from mammalian retina and providing a stream ...

Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for ...

Deep Learning algorithms have become one of the best approaches for pattern recognition in several fields, including ...

Autonomous robots have become a very popular topic within the artificial intelligence field. These systems are able to ...

In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution ...

This live demonstration presents an audio-guided neuromorphic robot: from a Neuromorphic Auditory Sensor (NAS) to locomotion ...

Many advances have been made in the eld of computer vision. Several recent research trends have focused on mimicking human ...

Los sistemas neuronales biológicos responden a estímulos de una forma rápida y eficiente en el movimiento motor del cuerpo, ...

In this paper we present a sub-system to convert audio information from low-power MEMS microphones with pulse density ...

Animals combine various sensory cues with previously acquired knowledge to safely travel towards a target destination. In ...

The human binocular system performs very complex operations in real-time tasks thanks to neuronal specialization and several ...

Along with the proliferation of mobile devices and wireless signal coverage, IoT devices, such as smart wristbands for ...

El proyecto consiste en la creación de un brazo robótico controlado remotamente a través de un brazalete desarrollado por ...

In stereo-vision processing, the image-matching step is essential for results, although it involves a very high computational ...

In this work novel speech recognition and audio processing systems based on a spiking artificial cochlea and neural networks ...

Speech recognition has become an important task to improve the human-machine interface. Taking into account the limitations ...

Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain ...

This live demonstration presents a sound source localization and tracking system implemented with Spike Signal Processing ...

Neural networks algorithms are commonly used to recognize patterns from different data sources such as audio or vision. ...

La estimación de distancias es uno de los objetivos más importantes en todo sistema de visión artificial. Para poder ...

Deep Learning algorithms have become state-of-theart methods for multiple fields, including computer vision, speech recognition, ...

This paper proposes a real-time sound source localization and tracking architecture based on the abilityof the mammalian ...

Many FPGAs vendors have recently included embedded processors in their devices, like Xilinx with ARM-Cortex A cores, ...

En este trabajo se pretende avanzar en el conocimiento y posibles implementaciones hardware de los mecanismos de Deep ...

Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of ...

This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of ...

In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. ...

Human Papilloma Virus (HPV) could develop precancerous lesions and invasive cancer, as it is the main cause of nearly all ...

In this paper, we present the numerical results of the implementation of a Spiking Central Pattern Generator (SCPG) on a ...

Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different ...

Several studies have focused on classifying behavioral patterns in wildlife and captive species to monitor their activities ...

This paper explores neuromorphic approach capabilities applied to real-time speech processing. A spiking recognition neural ...

This software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors ...

La sociedad avanza, y este avance favorece la aparición de nuevas necesidades, las cuales son cubiertas por profesionales ...

Este artículo presenta una práctica laboratorio impartida mediante una metodología de aprendizaje basado en proyectos (ABP) ...

In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System ...

The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems ...

Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or ...

The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wild animals ...

La enseñanza de asignaturas del ámbito de la informática está experimentando un gran cambio. La motivación del alumnado ...

Audio classification has always been an interesting subject of research inside the neuromorphic engineering field. Tools ...

Neuromorphic engineering is a growing and promising discipline nowadays. Neuro-inspiration and brain understanding applied ...

En este trabajo se propone e implementa un nuevo sistema de reconocimiento de sonidos basado en una cóclea artificial ...

A key requirement for modern large scale neuromorphic systems is the ability to detect and diagnose faults and to explore ...

Multisensory integration is commonly used in various robotic areas to collect more environmental information using different ...

In this paper, we explore the capabilities of a sound classification system that combines both a novel FPGA cochlear model ...

Sensors Network is an integration of multiples sensors in a system to collect information about different environment ...

Multisensory integration is commonly used in various robotic areas to collect much more information from an environment ...

Nowadays spike-based brain processing emulation is taking off. Several EU and others worldwide projects are demonstrating ...

En la coyuntura sanitaria y educacional en la que se encuentra la sociedad desde hace unos años, el Cam pus de Excelencia ...

ste artículo presenta la metodología empleada para dotar a nuestros alumnos, alumnos de la asignatura Diseño con ...

Spike-based motor control is very important in the field of robotics and also for the neuromorphic engineering community ...

En este artículo se describe una práctica de labora torio para la docencia de sistemas operativos en tiempo real (RTOS) ...

El objetivo principal de esta tesis es abordar un nuevo sistema de procesado neuromórfico de audio basado en la representación ...

This paper presents an implementation of a neuro-inspired algorithm called VITE (Vector Integration To End Point) in FPGA ...

This paper presents a new DVS sensor with one order of magnitude improved contrast sensitivity over previous reported DVSs. ...

This paper presents a spike-based control system applied to a fixed robotic platform. Our aim is to take a step forward ...

Image processing in digital computer systems usually considers visual information as a sequence of frames. These frames ...

In this paper we present and analyze two VHDL components for monitoring internal activity of spikes fired by silicon neurons ...

En este artículo se presenta la metodología empleada en la formación de los alumnos del Grado en Ingeniería Química ...

Neuromorphic engineers aim to mimic the precise and efficient mechanisms of the nervous system to process information using ...

Distance calculation is always one of the most important goals in a digital stereoscopic vision system. In an AER system ...

This paper is based on the simulation of a convolution model for bioinspired neuromorphic systems using the ...

Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames ...

En la enseñanza en profundidad y especializada en materias de tipo informática nos encontramos con que los contenidos no ...

In this paper we present two implementations of spike-based bandpass filters, which are able to reject out-of-band frequency ...

En los estudios de Ingeniería normalmente se instruye en competencias sobre diseño, en las que es fundamental conocer las ...

En este artículo se describe una práctica de laboratorio en la que se ilustran los mecanismos necesarios para implementar ...

Con la adaptación del Espacio Europeo de Educación Superior (EEES) y la creación de los nuevo títulos de grado, se plantea ...

The study and monitoring of wildlife and in semi-freedom has always been a subject of great interest. In recent years the ...

In this paper we will explain in depth how we have used Simulink with the addition of Xilinx System Generation to design ...

Address-Event-Representation (AER) is a bio-inspired communication protocol between chips. A set of AER sensors (retina ...

Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames ...

Actualmente, la interconexión de cualquier tipo de periférico con un ordenador se realiza utilizando el bus USB. Dentro ...

Neuromorphic engineering tries to mimic biology in information processing. Address-Event Representation (AER) is a ...

Neuromorphic engineers study models and implementations of systems that mimic neurons behavior in the brain. Neuro-inspired ...

Image convolution operations in digital computer systems are usually very expensive operations in terms of resource ...

Neuromorphic engineering tries to mimic biological information processing. Address-Event-Representation (AER) is an ...

A lo largo del presente trabajo hemos propuesto, diseñado, implementado, simulado, y analizado diversos mecanismos para ...

Correcting digital images tilt needs huge quantities of memory, high computational resources, and use to take a considerable ...

In wireless sensor networks, battery life is a key resource that must be conserved as much as possible. Nowadays, the main ...

Image convolution operations in digital computer systems are usually very expensive operations in terms of resource ...

Neuromorphic engineering tries to mimic biology in information processing. Address-Event Representation (AER) is a ...

Neuromorphic engineering tries to mimic biological information processing. Address-Event Representation (AER) is a ...

One field of the neuroscience is the neuroinformatic whose aim is to develop auto-reconfigurable systems that mimic the ...

Address-Event-Representation (AER) is an emergent neuromorphic interchip communication protocol that allows for real-time ...

Address-Event Representation (AER) is a neuromorphic communication protocol for transferring information of spiking neurons ...

Address-Event-Representation (AER) is an asynchronous protocol for transferring the information of spiking neuro-inspired ...

In this demo we propose a method for computing real time convolution on AER images. For that we use signed events. The AER ...

Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows a real-time ...

There is an emerging philosophy, called Neuro-informatics, contained in the Artificial Intelligence field, that aims to ...

Bio-Inspired and Neuro-Inspired systems or circuits are a relatively novel approaches to solve real problems by mimicking ...

The address-event representation (AER) is a neuromorphic communication protocol for transferring asynchronous events between ...

Address-Event-Representation (AER) is a communication protocol for transferring spikes between bio-inspired chips. Such ...

Address-Event-Representation (AER) is a communication protocol for transferring asynchronous events between VLSI chips, ...

Address-Event-Representation (AER) is a communication protocol for transferring asynchronous events between VLSI chips, ...