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3. Human neocortical expansion involves glutamatergic neuron diversification

4. Author Correction: Human neocortical expansion involves glutamatergic neuron diversification

6. Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types

7. Author Correction:Human neocortical expansion involves glutamatergic neuron diversification (Nature, (2021), 598, 7879, (151-158), 10.1038/s41586-021-03813-8)

8. Multi-modal characterization and simulation of human epileptic circuitry

9. Multi-modal characterization and simulation of human epileptic circuitry

10. Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types

11. Human cortical expansion involves diversification and specialization of supragranular intratelencephalic-projecting neurons

12. h-channels contribute to divergent electrophysiological properties of supragranular pyramidal neurons in human versus mouse cerebral cortex

13. h-Channels Contribute to Divergent Intrinsic Membrane Properties of Supragranular Pyramidal Neurons in Human versus Mouse Cerebral Cortex

16. h-channels contribute to divergent electrophysiological properties of supragranular pyramidal neurons in human versus mouse cerebral cortex

17. h-channels Contribute to Divergent Electrophysiological Properties of Supragranular Pyramidal Neurons in Human Versus Mouse Cerebral Cortex

18. Inverse Stochastic Resonance in Cerebellar Purkinje Cells

19. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

20. Modélisation de la cellule et des phénomènes de réseaux dans le système nerveux : dynamique des ions au cours des oscillations d'épilepsie et résonance stochastique inverse

21. Modeling of single cell and network phenomena of the nervous system : ion dynamics during epileptic oscillations and inverse stochastic resonance

24. Associations between in vitro , in vivo and in silico cell classes in mouse primary visual cortex.

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