Múltiples lesiones neurológicas, como los Accidentes Cardíacos Vasculares (ACV), provocan una degeneración y/o atrofia de ...

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 ...

The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive ...

Nowadays, sensors play a major role in several contexts like science, industry and daily life which benefit of their use. ...

The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is ...

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

Prostate cancer is currently one of the most commonly-diagnosed types of cancer among males. Although its death rate has ...

In this work, a novel distance estimation mechanism using received signal strength indication (RSSI) signals with ZigBee ...

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

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

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

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

Spiking convolutional neural networks have become a novel approach for machine vision tasks, due to the latency to process ...

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

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

Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ...

Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, ...

Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a ...

Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the ...

Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. ...

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

El cáncer de mama es una de las causas más frecuentes de mortalidad en las mujeres. Con la llegada de los sistemas ...

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

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

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

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

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

El proyecto SmokeFreeBrain estudia la efectividad de una variedad de intervenciones con el objetivo de dejar de fumar ...

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

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

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

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

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 ...

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

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

En el presente artículo se describe una práctica de laboratorio multitarea en el ámbito de las asignaturas de sistemas ...

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

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

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

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

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

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

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