The study of the structure and function of neuronal cells and networks is of crucial
importance in the endeavor to understand how the brain works. A key component in this …

The importance of neuronal morphology in brain function has been recognized for over a
century. The broad applicability of" digital reconstructions" of neuron morphology across …

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

Neuroanatomic analysis depends on the reconstruction of complete cell shapes. High-
throughput reconstruction of neural circuits, or connectomics, using volume electron …

The NEURON simulation program now allows Python to be used, alone or in combination
with NEURON's traditional Hoc interpreter. Adding Python to NEURON has the immediate …

Scientific models are abstractions that aim to explain natural phenomena. A successful
model shows how a complex phenomenon arises from relatively simple principles while …

Conductance-based neuronal network models can help us understand how synaptic and
cellular mechanisms underlie brain function. However, these complex models are difficult to …

Designed primarily as an introduction to realistic modeling methods, Computational
Neuroscience: Realistic Modeling for Experimentalists focuses on methodological …

Drosophila is an important model organism for investigating neural development, neural
morphology, neurophysiology, and neural correlates of behaviors. However, almost nothing …

Cyclic AMP (cAMP) and its main effector Protein Kinase A (PKA) are critical for several
aspects of neuronal function including synaptic plasticity. Specificity of synaptic plasticity …