Neuronal Network Analysis

<p>Optical Interrogation of Neural Circuits.- In Vivo Functional Imaging of the Olfactory Bulb at Single Cell Resolution.- Two-Photon Imaging of Neural Activity in Awake, Head-Fixed Mice.- Spatial Light Modulators for Complex Spatio-Temporal Illumination of Neuronal Networks.- Voltage-Sensitive Dye Imaging of Cortical Function In Vivo.- An Introduction to In Vitro Slice Approaches for the Study of Neuronal Circuitry.- Extracellular Recordings of Synaptic Plasticity and Network Oscillations in Hippocampal Slices.- Use of Dynamic-Clamp as a Tool to Reveal the Computational Properties of Single Neurons Embedded in Cortical Circuits.- Fast Perfusion Methods for the Study of Ligand-Gated Ion Channels.- Electrophysiological Approaches for Studying Neuronal Circuits In Vivo.- Determination of Cortical Circuit Function Using Current Source-Density (CSD) Analysis In Vivo.- Intracellular Whole-Cell Patch-Clamp Recordings of Cortical Neurons in Awake Head-Restrained Mice.- Investigating Sleep Homeostasis with Extracellular Recording of Multiunit Activity from the Neocortex in Freely-Behaving Rats.- Analysis of Hippocampal Memory Replay Using Neural Population Decoding.- High Speed Videography of Embodied Active Sensing in the Rodent Whisker System.- Light-Activated Ion Pumps and Channels for Temporally-Precise Optical Control of Activity in Genetically-Targeted Neurons.- Integrated Optogenetic and Electrophysiological Dissection of Local Cortical Circuits In Vivo.- Combining Optical Stimulation with Extracellular Electrophysiology in Behaving Mice.- Morphological Approaches to the Anatomical Dissection of Neuronal Circuits.- The Isotropic Fractionator: A Fast, Reliable Method to Determine Numbers of Cells in the Brain or Other Tissues.- Morpho-Functional Mapping of Cortical Networks inBrain Slice Preparations Using Paired Electrophysiological Recordings.- Combining Transcranial Magnetic Stimulation with Electroencephalography to Study Human Cortical Excitability and Effective Connectivity.- Biophysically Principled Computational Neural Network Modeling of Magneto-/Electro-Encephalography (MEG/EEG) Measured Human Brain Oscillations.</p>