Essays about: "Spiking Neural Network"

Showing result 16 - 20 of 30 essays containing the words Spiking Neural Network.

  1. 16. Fantastic spiking neural networks and how to train them

    University essay from

    Author : David Weinberg; [2021]
    Keywords : Machine learning; Spiking neural network;

    Abstract : Spiking neural networks are a new generation of neural networks that use neuronal models that are more biologically plausible than the typically used perceptron model. They do not use analog values to perform computations, as is the case in regular neural networks, but rely on spatio-temporal information encoded into sequences of delta-functions known as spike trains. READ MORE

  2. 17. Training of Object Detection Spiking Neural Networks for Event-Based Vision

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Olof Johansson; [2021]
    Keywords : Event-Based Vision; YOLO; SNN; Spiking Neural Network; Neuromorphic; Computer Vision; Object Detection; Earth-Moving Machines;

    Abstract : Event-based vision offers high dynamic range, time resolution and lower latency than conventional frame-based vision sensors. These attributes are useful in varying light condition and fast motion. READ MORE

  3. 18. Simulating Facilitation in a Spiking Neural Network

    University essay from Lunds universitet/Examensarbeten i molekylärbiologi

    Author : Alexander Kuzmin; [2020]
    Keywords : Biology and Life Sciences;

    Abstract : Many insects are able to detect, isolate and track small targets that move quickly against a dynamic background. This ability is enabled by a group of neurons called small target motion detectors (STMD). These neurons, among other properties, have a type of short term memory called response facilitation. READ MORE

  4. 19. Universality and Individuality in Recurrent Networks extended to Biologically inspired networks

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

    Author : Nishant Joshi; [2020]
    Keywords : Recurrent Neural Networks; rate Networks; Fixed Points; Dynamical Systems; Leaky Integrate and Fire; Computational Neuroscience;

    Abstract : Activities in the motor cortex are found to be dynamical in nature. Modeling these activities and comparing them with neural recordings helps in understanding the underlying mechanism for the generation of these activities. For this purpose, Recurrent Neural networks or RNNs, have emerged as an appropriate tool. READ MORE

  5. 20. Analysis of an Attractor Neural Network Model for Working Memory: A Control Theory Approach

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

    Author : Gianluca Villani; [2019]
    Keywords : ;

    Abstract : Working Memory (WM) is a general-purpose cognitive system responsible for temporaryholding information in service of higher order cognition systems, e.g. decision making. READ MORE