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Showing result 1 - 5 of 12 essays matching the above criteria.

  1. 1. Quantifying the Impact of Synaptic Delay and Neuronal Refractory Period on Criticality in Hierarchical Modular Neural Networks

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

    Author : Hannes Gustafsson; [2023]
    Keywords : ;

    Abstract : Self-organized brain criticality suggests that the brain is able to operate near a critical point.With compelling evidence supporting the theory, it is important to understand whichbiological mechanisms are required for critical dynamics to occur. READ MORE

  3. 2. Image-Based Classification Solutions for Robust Automated Molecular Biology Labs

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Arnold Teo; [2023]
    Keywords : Neural networks; Deep learning; Transfer learning; TensorFlow; Single-cell genomics; Image classification; Neurala nätverk; Djupinlärning; Överförd inlärning; TensorFlow; Enskild cellgenomik; Bildklassificering;

    Abstract : Single-cell genomics (SCG) are methods for investigating heterogeneity between biological cells, among these is Smart-seq which sequences from RNA molecules. A more recent version of this method is Smart-seq3xpress which is currently in the process of being automated by the Sandberg lab at Karolinska Institutet. READ MORE

  4. 3. CONNECTING THE DOTS : Exploring gene contexts through knowledge-graph representations of gene-information derived from scientific literature

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

    Author : Henrietta Hellberg; [2023]
    Keywords : Knowledge graph construction; Information extraction; Knowledge Graphs; Next-Generation Sequencing; Gene contextualization; Kunskapsgrafkonstruktion; Informationsextraktion; Kunskapsgrafer; Next-Generation Sequencing; Kontextualisering av gener;

    Abstract : Analyzing the data produced by next-generation sequencing technologies relies on access to information synthesized based on previous research findings. The volume of data available in the literature is growing rapidly, and it is becoming increasingly necessary for researchers to use AI or other statistics-based approaches in the analysis of their datasets. READ MORE

  5. 4. Learning Based Road Estimation

    University essay from Lunds universitet/Matematik LTH

    Author : Sanna Amirijoo; Karl Niwong; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. READ MORE

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

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

    Author : Mingda Sun; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE