A5009965786- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- CCD and CMOS Imaging Sensors
- Experimental Learning in Engineering
- E-Learning and Knowledge Management
- Knowledge Societies in the 21st Century
- Educational Technology in Learning
- Biomedical and Engineering Education
- Vehicle emissions and performance
- Transportation and Mobility Innovations
- Higher Education Teaching and Evaluation
- Neural Networks and Reservoir Computing
- Educational Innovations and Technology
- Indoor and Outdoor Localization Technologies
- Advanced Vision and Imaging
- Problem and Project Based Learning
- Blind Source Separation Techniques
- Electric Vehicles and Infrastructure
- Speech and Audio Processing
- Traffic control and management
- Engineering and Information Technology
- Analog and Mixed-Signal Circuit Design
- Marine animal studies overview
- Animal Vocal Communication and Behavior
Universidad de Sevilla
2010-2024
This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of neuromorphic binaural auditory sensor, designed completely in the spike domain. Unlike digital cochleae that decompose audio signals using classical signal processing techniques, model presented this processes information directly encoded as spikes pulse frequency modulation provides set frequency-decomposed an address-event representation interface. In case, systematic...
Abstract Air pollutants harm human health and the environment. Nowadays, deploying an air pollution monitoring network in many urban areas could provide real-time quality assessment. However, these networks are usually sparsely distributed sensor calibration problems that may appear over time lead to missing wrong measurements. There is increasing interest developing modelling methods minimize measurement errors, predict spatial temporal quality, support more spatially-resolved effect...
In this paper, we explore the capabilities of a sound classification system that combines both novel FPGA cochlear model implementation and bio-inspired technique based on trained convolutional spiking network. The neuromorphic auditory is used in work produces form representation analogous to spike outputs biological cochlea. has been developed using set spike-based processing building blocks frequency domain. They band pass filters spike-domain splits audio information 128 channels, 64 for...
Multisensory integration is commonly used in various robotic areas to collect more environmental information using different and complementary types of sensors. Neuromorphic engineers mimics biological systems behavior improve performance solving engineering problems with low power consumption. This work presents a neuromorphic sensory scenario for measuring the rotation frequency motor an AER DVS128 retina chip (Dynamic Vision Sensor) stereo auditory system on FPGA completely event-based....
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for short period time. They renewed and transmitted at rate 25–30 fps (typical real-time scenario). Digital video has to process each frame order obtain filter result or detect feature on input. In stereo vision, existing algorithms use two them pixel by until it is found pattern match section both Spike-based relatively new...
Multisensory integration is commonly used in various robotic areas to collect much more information from an environment using different and complementary types of sensors. This demonstration presents a scenario where the motor rotation frequency obtained AER DVS128 retina chip (Dynamic Vision Sensor) decomposer auditory system on FPGA that mimics biological cochlea. Both them are spike-based sensors with Address-Event-Representation (AER) outputs. A new monitor hardware interface, based...
To determine the optimal location of large number urban public charging stations that will have to be deployed in following years transition electric vehicles (EVs) is a challenging task, as it intimately interconnected with complexity traffic and grid operation. The city complex system which emerging patterns such jams, instabilities or even outages are difficult predict. layout can alter those operation, consequences mobility, air quality, system. present article presents concept under...
In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. The consists of different leaky integrate-and-fire neuron layers. connections between them are trained firing rate based algorithms. Tests use sets pure tones with frequencies that range from 130.813 to 1396.91 Hz. Audio signals coming the computer converted spikes Neuromorphic Auditory Sensor and, after that, information is sent SpiNNaker board through PCB translates AER...
This live demonstration presents a sound source localization and tracking system implemented with Spike Signal Processing (SSP) building blocks on FPGA devices. The architecture is based the ability of mammalian auditory to locate direction in horizontal plane using interaural intensity difference. We used binaural Neuromorphic Auditory Sensor obtain spike rates similar those generated by inner hair cells human component that obtains difference inspired lateral superior olive. stream...