Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Neuromorphic engineering"”.
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Neuromorphic deep convolutional neural network learning systems for FPGA in real time
… reduced using a different processing paradigm as neuromorphic engineering. Neuromorphic engineering field studies the behavior of biological and inner systems of the human neural processing with the purpose of design analog, digital or mixed-signal systems to solve problems inspired in how human …
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Benefits of branches in sparsely connected networks
… require faster and lower power alternatives. Neuromorphic engineering promises speed and energy efficiency, yet these devices can have unique constraints making them difficult to train. Motivated by optoelectronic devices, a unique class of optics-based neuromorphic hardware such as the COIN …
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Developing digital and analog spiking neural Networks for interacting with biological Tissues in the Case Study of temporal lobe Epilepsy
… leveraging the symbiotic integration of tissue engineering, neuromorphic engineering, and artificial intelligence (AI). Within this project, my role focused on the neuromorphic engineering aspect, specifically designing a spiking neural network (SNN) using CMOS integrated circuits (ICs) with …
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Digital pulse processing
… Keywords: time-encoding, spike processing, neuromorphic engineering, bit-stream, delta-sigma, sigma-delta converters, binary-valued continuous-time, relaxation-oscillators.
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Development of Transition Metal Dichalcogenide Memristive Materials and Devices for Neuromorphic Systems
… for energy-efficient computing architectures. Neuromorphic engineering addresses this challenge by replicating the brain’s co-location of memory and computation in hardware. Transition metal dichalcogenides (TMDCs) are promising in this context, offering atomically thin scalability and …
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Synthesis of neuromorphic circuits with neuromodulatory properties
The field of neuromorphic engineering shows great promise in delivering novel devices inspired by biological principles that would undertake sensory and processing tasks with an unprecedented level of efficiency. In order to achieve that, engineers are required to understand and implement the many …
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Fabrication and Application of a Polymer Neuromorphic Circuitry Based on Polymer Memristive Devices and Polymer Transistors
<p>Neuromorphic engineering is a discipline that aims to address the shortcomings of today's serial computers, namely large power consumption, susceptibility to physical damage, as well as the need for explicit programming, by applying biologically-inspired principles to develop neural systems with …
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Feedback control of analog neurons and shunting inhibition in dendrites for bio-inspired neuromorphic systems.
Neuromorphic engineering is an interdisciplinary field that takes inspiration from biological nervous systems to develop artificial computational architectures. This research revisits the original vision of neuromorphic computing by focusing on analog circuit implementations that closely emulate …
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Memristive devices and circuits for computing, memory, and neuromorphic applications.
… computing, computer architectures, and neuromorphic engineering. This thesis encompasses two major parts containing original contributions, (Part I) modelling and fabrication, and (Part II) circuit application and computing. Each part contains three chapters. The fundamentals necessary …
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Estudio e implementación de algoritmos de fusión sensorial para sensores pulsantes y clásicos con protocolo AER de comunicación y aplicación en sistemas robóticos neuroinspirados
… is made. The background of the thesis is the neuromorphic engineering field. This term was first coined in the late eighties by Caver Mead. Its main objective is to develop hardware devices, based on the neuron as the basic unit, to develop a range of tasks such as: decision making, image …
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Image Compression and Channel Error Correction using Neurally-Inspired Network Models
… for both computational neuroscience and neuromorphic engineering. % Here, we investigate whether sparse coding can enable the reconstruction of high-fidelity images and video from retinal event trains. Our approach is analogous to compressive sensing, in which only a random subset of …
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Study and implementation of new computational paradigms exploiting neuromorphic hardware architectures
L'abstract è presente nell'allegato / the abstract is in the attachment
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From Neuron Models to Edge Intelligence: A Multi-Level Exploration of Neuromorphic Computing
L'abstract è presente nell'allegato / the abstract is in the attachment
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Memristive Devices For Neuronal Systems
… 2011 and 2015 at the Institute of electrical engineering at the technical faculty of the Christian-Albrecht university at Kiel. During this time my research work was strongly guided by the question how to understand memory and learning in brains and how we can build up non-biological systems, …