Sökning: "Spiking rates"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Spiking rates.

1. 1. Exploring Column Update Elimination Optimization for Spike-Timing-Dependent Plasticity Learning Rule

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Ojasvi Singh; [2022]
   Nyckelord :Spike-Timing Dependent Plasticity; neuromorphic computing; Hebbian Learning; Spiking Neural Networks; memory optimization.; Spike-Timing Beroende Plasticitet; neuromorfisk beräkning; Hebbiansk inlärning; Spiking Neural Networks; Minnes optimering;

   Sammanfattning : Hebbian learning based neural network learning rules when implemented on hardware, store their synaptic weights in the form of a two-dimensional matrix. The storage of synaptic weights demands large memory bandwidth and storage. LÄS MER

3. 2. Dynamic synapses in neural information processing : Examining the influence of short-term synaptic plasticity on neural coding

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Oscar Spolander; [2022]
   Nyckelord :Short-term synaptic plasticity; Neural codes; Action Potential; Neuron firing rate; Rate code; Kort synaptiskt plasticitet; Neurala koder; Nervimpuls; Impulsfrekvens för nervcell; Frekvenskod;

   Sammanfattning : Short-term synaptic plasticity (STP) is a phenomenon that has been closely associated with how neurons communicate with each other. I study communication between neurons tied to synapses endowed with short-term plasticity (dynamic synapses). LÄS MER

4. 3. Neural Analysis of Juvenile Songbirds : Analysis of context dependent change in the trial-by-trial variability of spiking activity recorded from song birds

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Elliot Seymour; Ahmad Hussaein; [2021]
   Nyckelord :Songbirds; Neuron spiking; Spiking rates; Learning; Joint Spiking Events; Fano factor;

   Sammanfattning : Previous studies have shown that it is possible for juvenile songbirds to learn songs through listening to prerecorded songs played back to them. What is not known however, is how this will differ from normal learning, both on neural level as well as on the bird as whole. LÄS MER

5. 4. Low dimensional representations of neuronal activity in Parkinson’s disease

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gustav Röhss; Míriam Vall; [2020]
   Nyckelord :;

   Sammanfattning : This project has been concerned with developing methods for dimensionality reduction and feature extraction of brain activity in the basal ganglia in parkinsonian brains. Dimensionality reduction of local field potential activity was based on feature vectors produced from the discrete Fourier transform of activity. LÄS MER

7. 5. 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