Background
The first 3D reconstruction of an entire human brain from histological sections, “BigBrain”, was provided at 20μm resolution (Amunts et al. 2013). Advances in brightfield microscopy enabled rescanning the histological sections at 1μm isotropic resolution. The enhanced resolution allows visualization of individual cells, thereby supporting more detailed insights into the...
Automatic segmentation and detection of cells is a fundamental task in many medical fields. The extraction of numbers, densities, types, and patterns of neuronal cells is an important instrument to study the structure of the human brain [1] and is a key task in the analysis of images of biological tissue. For example, a supervised cell instance segmentation method [2] was recently used to...
Introduction: Quantitative maps of neurotransmitter receptor densities are important tools for characterising the molecular organisation of the brain and key for understanding normal and pathologic brain function and behaviour. We describe a novel pipeline that can reconstruct 3D cortical volumes for data sets of multiple different types of 2D post-mortem histological sections, including...
Connecting effective behavioural models to high-dimensional experimental data is one of the most important challenges in neuroscience. In this work we show how a link can be inferred between intracortical neural recordings performed during a simple decision task and the ramping variable postulated by a threshold decision model exploiting an artificial neural network (ANN).
We recorded...
