Essays about: "Hebbian Learning"

Showing result 1 - 5 of 9 essays containing the words Hebbian Learning.

  1. 1. Comparison of Hebbian Learning and Backpropagation for Image Classification in Convolutional Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Teodor Morfeldt Gadler; [2023]
    Keywords : ;

    Abstract : Current commonly used image recognition convolutional neural networks share some similarities with the human brain. However, the differences are many and the well established backpropagation learning algorithm is not biologically plausible. READ MORE

  3. 2. Regression with Bayesian Confidence Propagating Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Raghav Rajendran Bongole; [2023]
    Keywords : Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Kunal Bhatnagar; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 4. Comparison of Hebbian Learning and Backpropagation for Image Classification in Convolutional Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Axel Kierkegaard; Teodor Morfeldt Gadler; [2023]
    Keywords : ;

    Abstract : Current commonly used image recognition convolutional neural networks sharesome similarities with the human brain. However, the differences are many and the wellestablished backpropagation learning algorithm is not biologically plausible. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ojasvi Singh; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE