Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dynamics in assemblies of cortical neurons, but with effective resolution limits that confound interpretation. To address this limitation, we developed an in silico model of VSDI in a biologically faithful digital reconstruction of rodent neocortical microcircuitry. Using this model, we extend previous experimental observations regarding the cellular origins of VSDI, finding that the signal is driven primarily by neurons in layers 2/3 and 5, and that VSDI measurements do not capture individual spikes. Furthermore, we test the capacity of VSD image sequences to discriminate between afferent thalamic inputs at various spatial locations to estimat...
International audienceVoltage-sensitive dye imaging (VSDi) has revealed fundamental properties of ne...
We describe methods to achieve high sensitivity in voltage-sensitive dye (VSD) imaging from rat barr...
A neural field model is presented that captures the essential non-linear characteristics of activity...
Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dy...
An understanding of how microscale voltage fluctuations interact to shape mesoscale cortical informa...
International audienceVoltage-sensitive dye imaging (VSDI) is a key neurophysiological recording too...
Neural computations underlying sensory perception, cognition, and motor control are performed by pop...
Neural computations underlying sensory perception, cognition, and motor control are performed by pop...
The development of functional imaging techniques applicable to neuroscience and covering a wide rang...
Voltage-sensitive dye imaging (VSDI) is a powerful modern neuroimaging technique whose application i...
Although the cellular physiology of cerebellar neurons has made remarkable progress, the analysis of...
Voltage-sensitive dyes (VSDs) and optical imaging are useful for studying spatiotemporal patterns of...
In order to better understand brain functioning we need to investigate all the structural domains pr...
Although the primary route of information through the layered structure of the primary visual cortex...
Cortical dynamics can be imaged at high spatiotemporal resolution with voltage-sensitive dyes (VSDs)...
International audienceVoltage-sensitive dye imaging (VSDi) has revealed fundamental properties of ne...
We describe methods to achieve high sensitivity in voltage-sensitive dye (VSD) imaging from rat barr...
A neural field model is presented that captures the essential non-linear characteristics of activity...
Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dy...
An understanding of how microscale voltage fluctuations interact to shape mesoscale cortical informa...
International audienceVoltage-sensitive dye imaging (VSDI) is a key neurophysiological recording too...
Neural computations underlying sensory perception, cognition, and motor control are performed by pop...
Neural computations underlying sensory perception, cognition, and motor control are performed by pop...
The development of functional imaging techniques applicable to neuroscience and covering a wide rang...
Voltage-sensitive dye imaging (VSDI) is a powerful modern neuroimaging technique whose application i...
Although the cellular physiology of cerebellar neurons has made remarkable progress, the analysis of...
Voltage-sensitive dyes (VSDs) and optical imaging are useful for studying spatiotemporal patterns of...
In order to better understand brain functioning we need to investigate all the structural domains pr...
Although the primary route of information through the layered structure of the primary visual cortex...
Cortical dynamics can be imaged at high spatiotemporal resolution with voltage-sensitive dyes (VSDs)...
International audienceVoltage-sensitive dye imaging (VSDi) has revealed fundamental properties of ne...
We describe methods to achieve high sensitivity in voltage-sensitive dye (VSD) imaging from rat barr...
A neural field model is presented that captures the essential non-linear characteristics of activity...