Identification, Characterization, and Manipulation of Neuronal Ensembles

Single-Neuron and Population Methods to Study the Circuit-Level Cortical Mechanisms of Multisensory Processing.- Detection of Cell Assemblies in High-Density Extracellular Electrophysiological Recordings.- A General and Accurate Method for Neuronal Ensemble Detection in Spiking Neural Networks.- Fast Neuronal Segmentation of Two-Photon Functional Imaging Recordings using CITE-On.- Identification of Neuronal Ensembles from Similarity Maps using Singular Value Decomposition.- Detection of Overlapping Neuronal Assemblies from Activity Recordings of Large Neuronal Populations by Means of Non-Orthogonal Low-Dimensional State Spaces.- Detecting Neural Assemblies through Similarity Graph Clustering.- Identifying Neuronal Ensembles: A Graph Theoretical Approach.- Dissecting Neural Population Dynamics: Elastic Net and Conditional Random Fields for Deciphering Functional Networks and Information Processing in Learning and Memory.- Analyzing Functional Neuronal Ensembles in a Between-Subjects Paradigm.- Tagging and Manipulation of Fear Engrams.- Molecular Analysis of Neural Networks: Methods for Identifying and Characterizing Gene Expression Patterns in Neuronal Ensembles.