Dysregulation of excitatory neural firing replicates physiological and functional changes in aging visual cortex

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• The mammalian visual system is extensively studied for neural computation and sensory coding.
• Most computational models focus on healthy or diseased neural circuits, with few addressing non-pathological aging.
• Understanding age-related neural changes is crucial for maintaining cognitive function.

Purpose of the Study:

• To model the impact of age-correlated physiological changes on the computational performance of a spiking neural network.
• To investigate how non-pathological aging affects the primary visual cortex (V1).
• To identify potential mechanisms underlying age-induced functional decline in neural circuits.

Main Methods:

• Developed a spiking network model of the primary visual cortex (V1).
• Incorporated physiological changes associated with advanced age, such as altered homeostatic regulation of excitatory firing.
• Simulated the effects of long-term synaptic plasticity in the aging network model.

Main Results:

• The model reproduced observed age-related changes in neural activity, including decreased inhibition and reduced selectivity to oriented stimuli.
• Deterioration of homeostatic regulation and synaptic plasticity were sufficient to explain these functional declines.
• Demonstrated a potential link between dysregulated neuron firing and age-induced changes in brain physiology.

Conclusions:

• Age-related dysregulation of neuronal firing, coupled with synaptic plasticity, may causally contribute to functional impairments in the aging visual cortex.
• This computational approach provides a framework for exploring underlying mechanisms of neural aging.
• Suggests avenues for future experimental research and predictions regarding age-related cognitive changes.