Sökning: "Spike-based learning"

Hittade 2 uppsatser innehållade orden Spike-based learning.

1. 1. Critical Branching Regulation of the E-I Net Spiking Neural Network Model

   Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

   Författare :Oskar Öberg; [2019]
   Nyckelord :Pattern recognition; Spiking neural network; Critical branching; Self-organized criticality; Spike-based learning; Brain-inspired computing; Signal processing;

   Sammanfattning : Spiking neural networks (SNN) are dynamic models of biological neurons, that communicates with event-based signals called spikes. SNN that reproduce observed properties of biological senses like vision are developed to better understand how such systems function, and to learn how more efficient sensor systems can be engineered. LÄS MER

3. 2. Pattern recognition with spiking neural networks and the ROLLS low-power online learning neuromorphic processor

   Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

   Författare :Andreas Ternstedt; [2017]
   Nyckelord :Pattern recognition; Spiking neural network; Neuromorphic hardware; Spike-based learning; Brain-inspired computing; Signal processing;

   Sammanfattning : Online monitoring applications requiring advanced pattern recognition capabilities implemented in resource-constrained wireless sensor systems are challenging to construct using standard digital computers. An interesting alternative solution is to use a low-power neuromorphic processor like the ROLLS, with subthreshold mixed analog/digital circuits and online learning capabilities that approximate the behavior of real neurons and synapses. LÄS MER