Szilvia Szeier

Brain circuitry behavioral control emerging from complexity of nested recurrent loops extending into the body

The paper demonstrates how dynamic attractor trajectories in neuronal networks, influenced by sensory input and self-generated activity, enable behavioral flexibility and control through mutual interactions between neural and biomechanical systems.

Individual cortical neurons innervating large proportions of the neocortical areas in the MouseLight database

The paper examines axonal projections of individual cortical neurons in the MouseLight database, finding that single neurons can innervate large proportions of neocortical areas.

Global brain circuitry control of behavior emerging from self-governing vector field dynamics in subnetworks

The paper demonstrates how brain subnetworks generate dynamic activity patterns through self-governing vector field dynamics, explaining autonomous control of behavior.

Neuronal networks quantified as vector fields

This paper introduces a method to quantify neuronal network function using vector fields derived from synaptic weights and neuronal activity, showing how structural richness enables behavioral flexibility.