Sökning: "synaptic plasticity"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden synaptic plasticity.

  1. 1. Harnessing the Power of Voltage-dependent Synaptic Plasticity (VDSP): A Novel Paradigm for Unsupervised Learning in Neuromorphic Systems

    Master-uppsats, Luleå tekniska universitet/Datavetenskap

    Författare :Md Asif Mahmod Tusher Siddique; [2023]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  3. 2. Modelling synaptic rewiring in brain-like neural networks for representation learning

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

    Författare :Kunal Bhatnagar; [2023]
    Nyckelord :Adaptive Sparsity; Computational Neuroscience; Rewiring; Structural Plasticity; Brain-like Computing; Neural Networks; Hebbian Learning; Adaptiv gleshet; beräkningsneurovetenskap; omkoppling; strukturell plasticitet; Hjärnliknande beräkning; Neurala Nätverk; Hebbskt lärande;

    Sammanfattning : This research investigated the concept of a sparsity method inspired by the principles of structural plasticity in the brain in order to create a sparse model of the Bayesian Confidence Propagation Neural Networks (BCPNN) during the training phase. This was done by extending the structural plasticity in the implementation of the BCPNN. LÄS MER

  4. 3. 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

  5. 4. 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

  7. 5. Exploring the column elimination optimization in LIF-STDP networks

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

    Författare :Mingda Sun; [2022]
    Nyckelord :SpikingNeuralNetwork SNN ; neuromorphiccomputing; memoryoptimization; Hebbian learning; Spike-timing-depend plasticity STDP learning; Spiking Neural Network SNN ; neuromorphic computing; minnesoptimering; Hebbisk inlärning; spike-timing-depend plasticity STDP inlärning;

    Sammanfattning : Spiking neural networks using Leaky-Integrate-and-Fire (LIF) neurons and Spike-timing-depend Plasticity (STDP) learning, are commonly used as more biological possible networks. Compare to DNNs and RNNs, the LIF-STDP networks are models which are closer to the biological cortex. LÄS MER