Neuronal firing

…and the complexity of deciphering how neuronal activity varies across different conditions and stimuli. Even when labeled data is available, it is often hard to identify subtle functional differences between neuron classes. To address these challenges, we introduce a novel spatiotemporal Transformer-based architecture that learns a

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

…and characterized the effects of on neuronal firing and neurological phenotypes. Using CRE lines with cellular and developmental speci

…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