Sökning: "Anders Lansner"
Visar resultat 6 - 10 av 22 avhandlingar innehållade orden Anders Lansner.
6. Active Memory Processing on Multiple Time-scales in Simulated Cortical Networks with Hebbian Plasticity
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
7. On practical machine learning and data analysis
Sammanfattning : This thesis discusses and addresses some of the difficulties associated with practical machine learning and data analysis. Introducing data driven meth- ods in e. g. industrial and business applications can lead to large gains in productivity and efficiency, but the cost and complexity are often overwhelm- ing. LÄS MER
8. Information processing in the Striatum : a computational study
Sammanfattning : The basal ganglia form an important structure centrally placed in the brain. They receive input from motor, associative and limbic areas, and produce output mainly to the thalamus and the brain stem. The basal ganglia have been implied in cognitive and motor functions. LÄS MER
9. Computational modeling of the lamprey CPG : from subcellular to network level
Sammanfattning : Due to the staggering complexity of the nervous system, computer modelling is becoming one of the standard tools in the neuroscientist's toolkit. In this thesis, I use computer models on different levels of abstraction to compare hypotheses and seek un- derstanding about pattern-generating circuits (central pattern generators, or CPGs) in the lamprey spinal cord. LÄS MER
10. An Attractor Memory Model of Neocortex
Sammanfattning : This thesis presents an abstract model of the mammalian neocortex. The model was constructed by taking a top-down view on the cortex, where it is assumed that cortex to a first approximation works as a system with attractor dynamics. LÄS MER