Abstract

In this paper, we use computational models of varying complexity to investigate the role of synaptic modifications for cortical network properties. In particular, we study how the dynamics can be regulated by neuromodulators, intrinsic noise and chemical agents. We focus on the complex neurodynamics and its modulation, and how this is related to the neural circuitry, where connectivity enhancement and pruning is considered. The emphasis is on the overall net-work structures, with feedforward and feedback loops between excitatory and inhibitory neurons at several layers and distances, and less details at the synaptic level. Our models aim at linking processes at a molecular and cellular (microscale), with processes at a network level (mesoscale), which in turn are linked to the mental processes and cognitive functions (macroscale). We also discuss the relevance of these results for clinical and experimental neuroscience, with applications to learning, memory, arousal, and mental disorders.

Keywords

computational models; neural networks; synapses; neuromodulation

Published in

Pharmacopsychiatry
2010, Volume: 43, pages: S67-S81
Publisher: Georg Thieme Verlag

SLU Authors

• Liljenström, Hans

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    
  • Agora for Biosystems

UKÄ Subject classification

Neurosciences


Publication identifier

DOI: https://doi.org/10.1055/s-0030-1252058

Permanent link to this page (URI)

https://res.slu.se/id/publ/32929