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A biophysical model is a simulation of a biological system using mathematical formalizations of the physical properties of that system. Such models can be used to predict the influence of biological and physical factors on complex systems.
A new synsonoptogenetic method is shown to drastically lower 2P excitation threshold enabling low-power deep neural activation of hippocampal neurons, expressed with ChRmine and MscL-I92L, in the presence of low-amplitude subthreshold ultrasound.
Various factors can be involved in the quantities of mRNAs and proteins in neurons. In this study, the authors show that the drive to save energy determines transcript quantities and their location while acting differently for each molecular species depending on their fundamental parameters.
Two decades of research on visual working memory have yielded substantial yet fragmented knowledge. Here, using a large-scale experiment with 40 million responses, the author provides evidence these findings can be understood within a cohesive framework.
Metastability is a concept from dynamical systems. In the brain, it is thought to reflect the balance between the cooperative and independent functioning of brain areas or neuronal populations. In this Review, Hancock, Rosas and colleagues provide an overview of metastability in neuroscience.
The influence anatomy exerts on communication between brain regions remains unclear. In this Review, Greaves et al. synthesize how methods of structural connectivity integration constrain inference-based or prediction-based models of directed connectivity to better understand how one brain region exerts control over another.
Large-scale neural mass simulations revealed best task-modulated functional connectivity methods for different fMRI designs and fundamental limitations for detecting rapid modulations of neural synchronisation based on slow haemodynamic fluctuations.
A series of papers provide an overview of the adult Drosophila melanogaster whole-brain connectome and how the resulting resource allows for more sophisticated approaches to investigate computations in the fly brain.
Whole-brain modelling is an essential tool that provides relevant insights for neuroscientists as they work to discover the fundamental principles of healthy brain function.
A new study examines thalamic innervation of cortical layer 2/3 pyramidal neurons and models how this thalamic connectivity affects visual responses in these cells.
