The concept that neural information is encoded in the firing rate of neurons has been the
dominant paradigm in neurobiology for many years. This paradigm has also been adopted …

Neuron modeling may be said to have originated with the Hodgkin and Huxley action
potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over …

Epidural electrical stimulation (EES) of lumbosacral segments can restore a range of
movements after spinal cord injury. However, the mechanisms and neural structures through …

Populations of neurons display an extraordinary diversity in the behaviors they affect and
display. Machine learning techniques have recently emerged that allow us to create …

Dopamine neurons of the substantia nigra pars compacta (SNc) are uniquely sensitive to
degeneration in Parkinson's disease (PD) and its models. Although a variety of molecular …

" Brian" is a new simulator for spiking neural networks, written in Python (http://brian. di. ens.
fr). It is an intuitive and highly flexible tool for rapidly developing new models, especially …

Background Quantitative models of biochemical and cellular systems are used to answer a
variety of questions in the biological sciences. The number of published quantitative models …

The thick-tufted layer 5b pyramidal cell extends its dendritic tree to all six layers of the
mammalian neocortex and serves as a major building block for the cortical column. L5b …

Biologically detailed single neuron and network models are important for understanding
how ion channels, synapses and anatomical connectivity underlie the complex electrical …

Circadian (∼ 24 h) timekeeping is essential for the lives of many organisms. To understand
the biochemical mechanisms of this timekeeping, we have developed a detailed …