Topic: morphoelectric properties

Model neurons are often considered as simple linear threshold units. However, the diversity and cell-type specificity of morphoelectric properties of dendritic trees, as well as observations of active integration of inputs to dendrites, suggest that individual cell types might have non-linear processing leading to more complex computational properties. The limited number and distribution of such non-linear processes put neurons in an intermediate category between a simple linear threshold unit and a large deep network with millions of units. In this work, we examine bounds on the complexit

Inhibitory interneurons account for 20-30\% of neurons in the human neocortex (Markram et al. 2004) and separate into distinct cell-types (Gouwens et al. 2020, Lee et al. 2023). However, the functional role of these inhibitory cell-types is not yet well understood, especially not in the intact human neocortical circuit. Here we investigate the input-output transformations afforded by human inhibitory neurons as a function of cell-type compared to their rodent counterparts. To do so, we use multi-objective evolutionary optimization to develop approximately 4860 biophysically realistic and morph

The dynamic interplay of inhibitory and excitatory neurons drives the cortical functional repertoire. In the mammalian neocortex, inhibitory neurons are diverse. They are characterized by a variety of cellular attributes that enable their specialized roles in regulating information processing. It is increasingly clear that the major subtype specification of inhibitory neurons is given by their molecular identity, defined by techniques such as gene expression profiling. However, the molecular class alone provides limited insight into the anatomical, physiological, and connectivity properties of