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Two-photon calcium imaging of neuronal activity
In vivo two-photon calcium imaging (2PCI) is a technique used for recording neuronal
activity in the intact brain. It is based on the principle that, when neurons fire action …
activity in the intact brain. It is based on the principle that, when neurons fire action …
Neuronal ensembles: Building blocks of neural circuits
Neuronal ensembles, defined as groups of neurons displaying recurring patterns of
coordinated activity, represent an intermediate functional level between individual neurons …
coordinated activity, represent an intermediate functional level between individual neurons …
[HTML][HTML] Fast and sensitive GCaMP calcium indicators for imaging neural populations
Calcium imaging with protein-based indicators, is widely used to follow neural activity in
intact nervous systems, but current protein sensors report neural activity at timescales much …
intact nervous systems, but current protein sensors report neural activity at timescales much …
Activity-regulated transcription: bridging the gap between neural activity and behavior
Gene transcription is the process by which the genetic codes of organisms are read and
interpreted as a set of instructions for cells to divide, differentiate, migrate, and mature. As …
interpreted as a set of instructions for cells to divide, differentiate, migrate, and mature. As …
Fast online deconvolution of calcium imaging data
Fluorescent calcium indicators are a popular means for observing the spiking activity of
large neuronal populations, but extracting the activity of each neuron from raw fluorescence …
large neuronal populations, but extracting the activity of each neuron from raw fluorescence …
Thalamus drives vocal onsets in the zebra finch courtship song
While motor cortical circuits contain information related to specific movement parameters,
long-range inputs also have a critical role in action execution,. Thalamic projections can …
long-range inputs also have a critical role in action execution,. Thalamic projections can …
Computational analysis of behavior
In this review, we discuss the emerging field of computational behavioral analysis—the use
of modern methods from computer science and engineering to quantitatively measure …
of modern methods from computer science and engineering to quantitatively measure …
Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience
Identifying low-dimensional features that describe large-scale neural recordings is a major
challenge in neuroscience. Repeated temporal patterns (sequences) are thought to be a …
challenge in neuroscience. Repeated temporal patterns (sequences) are thought to be a …
An open source, wireless capable miniature microscope system
Objective. Fluorescence imaging through head-mounted microscopes in freely behaving
animals is becoming a standard method to study neural circuit function. Flexible, open …
animals is becoming a standard method to study neural circuit function. Flexible, open …
Identification of a motor-to-auditory pathway important for vocal learning
Learning to vocalize depends on the ability to adaptively modify the temporal and spectral
features of vocal elements. Neurons that convey motor-related signals to the auditory system …
features of vocal elements. Neurons that convey motor-related signals to the auditory system …