Topic: neuronal firing

A signature feature of cortical circuits is the irregularity of neuronal firing, which manifests itself in the high temporal variability of spiking and the broad distribution of rates. Theoretical works have shown that this feature emerges dynamically in network models if coupling between cells is strong, i.e. if the mean number of synapses per neuron K is large and synaptic efficacy is of order 1/\sqrt{K}. However, the degree to which these models capture the mechanisms underlying neuronal firing in cortical circuits is not fully understood. Results have been derived using neuron models with

SCN8A encodes a major voltage-gated sodium channel expressed in CNS and PNS neurons. Gain-of-function and loss-of-function mutations contribute to human disorders, most notably Developmental and Epileptic Encephalophy (DEE). More than 600 affected individuals have been reported, with the most common mechanism of de novo, gain-of-function mutations. We have developed constitutive and conditional models of gain- and loss- of function mutations in the mouse and characterized the effects of on neuronal firing and neurological phenotypes. Using CRE lines with cellular and developmental speci

Norepinephrine (NE) is a neuromodulator that is released from projections of the locus coeruleus via extra-synaptic vesicle exocytosis. Tonic fluctuations in NE are involved in brain states, such as sleep, arousal, and attention. Previously, NE in the PFC was thought to be a homogenous field created by bulk release, but it remains unknown whether phasic (fast, short-term) fluctuations in NE can produce a spatially heterogeneous field, which could then structure cell firing at a fine spatial scale. To understand how spatiotemporal dynamics of norepinephrine (NE) release in the prefrontal cortex