Principal cells

Schizophrenia is a complex disorder known for its positive symptoms: delusions and hallucinations. However, the impact of schizophrenia on function is mostly due to its executive dysfunction. Mechanistically, it is known that the prefrontal cortex (PFC) is dysfunctional in this disorder and that there is a general excitatory/inhibitory (E/I) imbalance in the schizophrenia brain. However, whether schizophrenia executive dysfunction can be specifically attributed to prefrontal E/I imbalance is unknown. Here, through a series of experiments across schizophrenia-relevant mouse models, we show the

Efficiently transmitting information from dynamic environments necessitates sensory systems that rapidly and reversibly adapt to changes in input statistics. Single neurons adjust their input-output gains to adaptively normalize their stimulus-driven response variance (Fairhall et al. 2001). In neural populations, statistical whitening and related adaptations have been observed (Dan et al. 1996; Benucci et al. 2013; Wanner and Friedrich 2020), whereby joint statistics of neurons are decorrelated in addition to being re-scaled to have equal variance. Existing models of neural population adapt

A wealth of experimental studies show that the trial-to-trial variability of neuronal activity is quenched during stimulus evoked responses. This fact has helped ground a popular view that the variability of spiking activity can be decomposed into two components. The first is due to irregular spike timing conditioned on the firing rate of a neuron (i.e. a Poisson process), and the second is the trial-to-trial variability of the firing rate itself. Quenching of the variability of the overall response is assumed to be a reflection of a suppression of firing rate variability. Network models have