Chronic and acute implants of multi-electrode arrays that cover severalsquare millimeters of neural tissue provide simultaneous access topopulation signals such as extracellular potentials and the spikingactivity of one hundred or more individual neurons. While the recordeddata may uncover principles of brain function, its interpretationcalls for multiscale computational models with corresponding spatialdimensions and signal predictions. Such models can then facilitatethe search of candidate mechanisms underlying experimentally observedspatiotemporal activity patterns in cortex. Multi-layer spiking neuronnetwork models of local cortical circuits covering about $1\,\mathrm{mm}^2$have been developed, integrating experimentally obtained neuron...
We investigated whether it is possible to infer spike trains solely on the basis of the underlying l...
The past decade has witnessed a renewed interest in cortical local field potentials (LFPs) - that is...
Most modeling in systems neuroscience has been descriptive where neural representations such as 'rec...
Multi-electrode arrays covering several square millimeters of neural tissue provide simultaneous acc...
Extracellular recordings with chronic or acute implants of multi-electrode arrays provide simultaneo...
The measurement of local field potentials (LFPs) is becoming increasingly popular as a tool for meas...
The cerebral cortex is one of the most intricate natural systems known, due to the multitude and het...
<div><p>Despite its century-old use, the interpretation of local field potentials (LFPs), the low-fr...
While recordings of extracellular potentials remain a common method for experimentally measuring neu...
There is broad consent that understanding the brain's function relies on the investigation of the mu...
The local field potential (LFP), the low-pass filtered extracellular potential, is a common measure ...
Extracellular physiological recordings are typically separated into two frequency bands: local field...
International audienceThe local field potential (LFP) is generated by large populations of neurons, ...
Most modeling in systems neuroscience has been descriptive where neural representations such as ‘rec...
<div><p>Local Field Potentials (LFPs) integrate multiple neuronal events like synaptic inputs and in...
We investigated whether it is possible to infer spike trains solely on the basis of the underlying l...
The past decade has witnessed a renewed interest in cortical local field potentials (LFPs) - that is...
Most modeling in systems neuroscience has been descriptive where neural representations such as 'rec...
Multi-electrode arrays covering several square millimeters of neural tissue provide simultaneous acc...
Extracellular recordings with chronic or acute implants of multi-electrode arrays provide simultaneo...
The measurement of local field potentials (LFPs) is becoming increasingly popular as a tool for meas...
The cerebral cortex is one of the most intricate natural systems known, due to the multitude and het...
<div><p>Despite its century-old use, the interpretation of local field potentials (LFPs), the low-fr...
While recordings of extracellular potentials remain a common method for experimentally measuring neu...
There is broad consent that understanding the brain's function relies on the investigation of the mu...
The local field potential (LFP), the low-pass filtered extracellular potential, is a common measure ...
Extracellular physiological recordings are typically separated into two frequency bands: local field...
International audienceThe local field potential (LFP) is generated by large populations of neurons, ...
Most modeling in systems neuroscience has been descriptive where neural representations such as ‘rec...
<div><p>Local Field Potentials (LFPs) integrate multiple neuronal events like synaptic inputs and in...
We investigated whether it is possible to infer spike trains solely on the basis of the underlying l...
The past decade has witnessed a renewed interest in cortical local field potentials (LFPs) - that is...
Most modeling in systems neuroscience has been descriptive where neural representations such as 'rec...