Essays about: "Spiking neural networks"

Showing result 1 - 5 of 12 essays containing the words Spiking neural networks.

  1. 1. Stochastic spiking neural networks based on ferroelectric memory devices

    University essay from Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionen

    Author : Karolis Sulinskas; [2021]
    Keywords : SNN; FTJ; Stochastic SNN; Spiking neural network; Binary SNN; SNN simulation; Physics and Astronomy;

    Abstract : In the last decade the world has seen a massive explosion of activity in the ma chine learning field. While the benefits of machine learning are ever growing and more impressive, the drawbacks of the technology are becoming clear and can hardly be ignored. READ MORE

  2. 2. Stimulus representation in anisotropically connected spiking neural networks

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

    Author : Leo Hiselius; [2021]
    Keywords : Spiking neural networks; Perlin connectivity; separation; temporal dynamics; SpreizerNet; Biologiska neurala nätverk; Perlin-kopplingar; separation; temporell dynamik; SpreizerNätverket;

    Abstract : Biological neuronal networks are a key object of study in the field of computational neuroscience, and recent studies have also shown their potential applicability within artificial intelligence and robotics [1]. They come in many shapes and forms, and a well known and widely studied example is the liquid state machine from 2004 [2]. READ MORE

  3. 3. 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. 4. 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. 5. Scaling Properties of Spiking Neural Networks on the Digital Neuromorphic Hardware SpiNNaker : An analysis of how increasing the number of neurons and the number of connections between them affects the performance of spiking neural networks on the SpiNNaker architecture

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

    Author : Lukas Widén; Gustaf Blomqvist; [2020]
    Keywords : ;

    Abstract : SpiNNaker is a neuromorphic hardware devised to simulate SNNs effectively.This paper examines how the performance of an SNN simulated on SpiNNaker is affected by its ratio of number of neurons to number of connections between neurons, as the SNN grows in size. The scope of this paper is limited to the SpiNNaker system SpiNN-3. READ MORE