Mean-field model

…insights from biophysically detailed models of spiking neurons containing specific neural mechanisms, such as M-current and adaptation currents (Dalla Porta et al. Plos Comp. Bio., 2023). We incorporated these features in a mean-field model and, using human tractography data, we constructed a virtual whole-brain model consisting of 68 cortical nodes (Goldman et al. Front. Comput. Neurosci., 2023). To enhance realism, we introduced heterogene

…We introduce a model of a population of quadratic integrate-and-fire neurons where the metabolic feedback associated with KD affects neuronal excitability. Our proposed mechanism for seizure control hinges on the presence of adenosine triphosphate (ATP)-dependent potassium channels, whose activity, in the absence of ATP, res

The physiological properties of neurons influence their population dynamics to shape neural computation and behavior. These physiological properties are diverse: the brain is composed of many genetically distinct neuronal cell types with pronounced physiological and functional differences. But neurons of the same cell type are also not identical, and exhibit heterogeneity in their physiological properties. We call this "within-type" heterogeneity, in contrast to the former, "between-type" heterogeneity. Whereas the contributions of distinct neuron types to neural network dynamics has been stud

…(RNNs) have emerged as promising models of how neural circuits process information. However, short-term memory maintenance in these networks has mostly been implemented through static attractors. Thus, it remains unclear if and how RNNs can encode memories in the relative phase of oscillations. Here we show that such phase-dependent coding can arise through the training of RNNs on memory tasks. We characterize how the emerg