Integrative neurocomputational perspectives on cognitive aging, neuromodulation, and representation.
Besides neuroanatomical changes, neuromodulatory mechanisms are also compromised during aging. Neural network models are suitable tools for exploring the relatively broad and homogenous neuromodulatory influences on cortical function. Computational approaches for understanding neuromodulation of the dynamic properties of cortical function and recent neurocomputational theories relating different aspects of cognitive aging with declines in neuromodulation are reviewed. Considered within an integrative cross-level neurocomputational framework, aging-related decline in dopaminergic neuromodulation reduces the fidelity of neural information and gives rise to less distinctive neural pattern representations that may underlie various facets of aging cognitive and, possibly also, sensorimotor phenomena.
Li
Shu-Chen
SC
Center for Lifespan Psychology, Max Planck Institute for Human Development, Lenzealle 94, Berlin D-14195, Germany. shuchen@mpib-berlin.mpg.de
Sikström
Sverker
S
D000375:Aging / Q000502:physiology*; D000818:Animals; D001921:Brain / Q000502:physiology* / Q000503:physiopathology; D003071:Cognition / Q000502:physiology*; D003072:Cognition Disorders / Q000503:physiopathology; D006801:Humans; D007858:Learning; D008432:Mathematical Computing; D008568:Memory; D016571:Neural Networks, Computer; D018377:Neurotransmitter Agents / Q000502:physiology*
D018377:Neurotransmitter Agents