Population activity structure of excitatory and inhibitory neurons

@article{Bittner2017PopulationAS,
  title={Population activity structure of excitatory and inhibitory neurons},
  author={Sean R. Bittner and R. Williamson and A. Snyder and Ashok Litwin-Kumar and B. Doiron and S. Chase and Matthew A. Smith and Byron M. Yu},
  journal={PLoS ONE},
  year={2017},
  volume={12}
}
Many studies use population analysis approaches, such as dimensionality reduction, to characterize the activity of large groups of neurons. To date, these methods have treated each neuron equally, without taking into account whether neurons are excitatory or inhibitory. We studied population activity structure as a function of neuron type by applying factor analysis to spontaneous activity from spiking networks with balanced excitation and inhibition. Throughout the study, we characterized… Expand
16 Citations
Bridging neuronal correlations and dimensionality reduction
Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction
The quest for interpretable models of neural population activity
Emergence of Mixed Mode Oscillations in Random Networks of Diverse Excitable Neurons: The Role of Neighbors and Electrical Coupling
Early steps toward understanding neuronal communication
Rethinking brain-wide interactions through multi-region ‘network of networks’ models
Intracortical recording stability in human brain-computer interface users.
...
1
2
...

References

SHOWING 1-10 OF 78 REFERENCES
Stimuli Reduce the Dimensionality of Cortical Activity
Correlations and Neuronal Population Information.
Dimensionality reduction for large-scale neural recordings
Chaotic Balanced State in a Model of Cortical Circuits
...
1
2
3
4
5
...