Topic: LIF neurons

Homeostatic plasticity plays a key role in stabilizing neural network activity. But what is its role in neural information processing? We showed analytically how homeostasis changes collective dynamics and consequently information flow - depending on the input to the network. We then studied how input and homeostasis on a recurrent network of LIF neurons impacts information flow and task performance. We showed how we can tune the working point of the network, and found that, contrary to previous assumptions, there is not one optimal working point for a family of tasks, but each task may requir

Cortical neurons in vivo exhibit significant temporal variability, the source of which is crucial for understanding its computational and behavioural implications [1,2]. However, to match experimental observations, single-cell activity must fluctuate over much longer time scales than typical neural and synaptic time scales [3,4]. Balanced networks generally do not produce such slow fluctuations in firing rates, raising questions about their origin. Some theories attribute them to precise synaptic connectivity [5] according to an alternative scenario slow fluctuations in the rates result from n