Sökning: "spiking neural networks"

Visar resultat 1 - 5 av 13 avhandlingar innehållade orden spiking neural networks.

1. 1. Towards Cortex Isomorphic Attractor Neural Networks

   Författare :Christopher Johansson; KTH; []
   Nyckelord :Attractor Neural Networks; Cerebral Cortex; Minicolumns; Hypercolumns; Potts Neural Networks; BCPNN; and Parallel Computers;

   Sammanfattning : In this thesis we model the mammalian cerebral cortex withattractor neural networks and study the parallelimplementations of these models. First, we review the size, structure, and scaling laws ofthe cerebral cortex of five mammals; mouse, rat, cat, macaque,and human. LÄS MER

3. 2. Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living

   Författare :Chenjie Ge; Chalmers tekniska högskola; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; convolutional neural networks; Alzheimer s disease detection; machine learning; deep learning; fall detection; glioma subtype classification; generative adversarial networks; recurrent convolutional networks; spiking neural networks; visual prosthesis; semi-supervised learning;

   Sammanfattning : Healthcare has progressed greatly nowadays owing to technological advances, where machine learning plays an important role in processing and analyzing a large amount of medical data. This thesis investigates four healthcare-related issues (Alzheimer's disease detection, glioma classification, human fall detection, and obstacle avoidance in prosthetic vision), where the underlying methodologies are associated with machine learning and computer vision. LÄS MER

4. 3. Active Memory Processing on Multiple Time-scales in Simulated Cortical Networks with Hebbian Plasticity

   Författare :Florian Fiebig; Anders Lansner; Tim Vogels; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Working memory; Long-term memory; consolidation; spiking; neural network; BCPNN; cortical microcircuit; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics; Biological Physics; Biologisk fysik;

   Sammanfattning : This thesis examines declarative memory function, and its underlying neural activity and mechanisms in simulated cortical networks. The included simulation models utilize and synthesize proposed universal computational principles of the brain, such as the modularity of cortical circuit organization, attractor network theory, and Hebbian synaptic plasticity, along with selected biophysical detail from the involved brain areas to implement functional models of known cortical memory systems. LÄS MER

5. 4. Computer Simulation of the Neural Control of Locomotion in the Cat and the Salamander

   Författare :Nalin Harischandra; Örjan Ekeberg; Silvia Gruhn; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Locomotion; Computer simulation; Central pattern generator; System identification; Gait transition; Sensory feedback; Spiking neural networks;

   Sammanfattning : Locomotion is an integral part of a whole range of animal behaviours. The basic rhythm for locomotion in vertebrates has been shown to arise from local networks residing in the spinal cord and these networks are known as central pattern generators (CPG). LÄS MER

7. 5. On learning in mice and machines : continuous population codes in natural and artificial neural networks

   Författare :Emil Wärnberg; Konstantinos Meletis; Arvind Kumar; Gilad Silberberg; Mark Humphries; KTH; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Biotechnology; Bioteknologi; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

   Sammanfattning : Neural networks, whether artificial in a computer or natural in the brain, could represent information either using discrete symbols or continuous vector spaces. In this thesis, I explore how neural networks can represent continuous vector spaces, using both simulated neural networks and analysis of real neural population data recorded from mice. LÄS MER