Maximum-entropy models reveal the excitatory and inhibitory correlation structures in cortical neuronal activity
| Autor: | Ulisse Ferrari, Trang-Anh Nghiem, Bartosz Telenczuk, Olivier Marre, Alain Destexhe |
|---|---|
| Přispěvatelé: | Unité de Neurosciences Information et Complexité [Gif sur Yvette] (UNIC), Centre National de la Recherche Scientifique (CNRS), Institut de la Vision, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), PERIGNON, Alain, Institut des Neurosciences Paris-Saclay (NeuroPSI), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology Entropy MESH: Neurons Action Potentials 0302 clinical medicine Cortex (anatomy) Premovement neuronal activity monkey cortex MESH: Animals MESH: Action Potentials Slow-wave sleep Physics Cerebral Cortex Neurons [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior [PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph] Principle of maximum entropy [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences Condensed Matter - Disordered Systems and Neural Networks MESH: Entropy medicine.anatomical_structure Cerebral cortex Excitatory postsynaptic potential Wakefulness [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] Neurons and Cognition (q-bio.NC) human cortex [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph] Models Neurological FOS: Physical sciences Inhibitory postsynaptic potential 03 medical and health sciences brain states MESH: Models Neurological wakefulness medicine Animals Humans [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] MESH: Humans Disordered Systems and Neural Networks (cond-mat.dis-nn) Slow-Wave Sleep MESH: Cerebral Cortex 030104 developmental biology Quantitative Biology - Neurons and Cognition FOS: Biological sciences Neuroscience Maximum Entropy models 030217 neurology & neurosurgery |
| Zdroj: | Physical Review E Physical Review E, 2018, 98 (1), pp.012402. ⟨10.1103/PhysRevE.98.012402⟩ Physical Review E, American Physical Society (APS), 2018, 98 (1), pp.012402. ⟨10.1103/PhysRevE.98.012402⟩ |
| ISSN: | 2470-0053 2470-0045 |
| DOI: | 10.1103/PhysRevE.98.012402⟩ |
| Popis: | Maximum Entropy models can be inferred from large data-sets to uncover how collective dynamics emerge from local interactions. Here, such models are employed to investigate neurons recorded by multielectrode arrays in the human and monkey cortex. Taking advantage of the separation of excitatory and inhibitory neuron types, we construct a model including this distinction. This approach allows to shed light upon differences between excitatory and inhibitory activity across different brain states such as wakefulness and deep sleep, in agreement with previous findings. Additionally, Maximum Entropy models can also unveil novel features of neuronal interactions, which are found to be dominated by pairwise interactions during wakefulness, but are population-wide during deep sleep. In particular, inhibitory neurons are observed to be strongly tuned to the inhibitory population. Overall, we demonstrate Maximum Entropy models can be useful to analyze data-sets with classified neuron types, and to reveal the respective roles of excitatory and inhibitory neurons in organizing coherent dynamics in the cerebral cortex. Comment: 17 pages, 11 figures (including 5 supplementary) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|