Patrick A. Kells
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Role not yet determined Is this you? Add your title
Also affiliated: National Institutes of Health (2021–2024); National Institute of Mental Health (2021–2024)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Patrick A. Kells' research focuses on the complex dynamics of neural networks, particularly within the cerebral cortex. His work investigates phenomena such as self-organized criticality and avalanche scaling in the synchronization of cortical cell assemblies. Kells has explored the relationship between neuron-to-neuron and neuron-to-body coupling, suggesting that strong coupling in one domain implies weaker coupling in the other within the motor cortex. His publications also address the collapse of complexity in brain and body activity, linking it to excessive inhibition and disruptions in MeCP2. Kells has contributed to the understanding of how spatial subsampling affects neuronal networks at criticality, examining the recovery of parabolic avalanches. He has also developed computational models, such as an Ising-like model, to replicate the time-averaged spiking behavior observed in in vitro neuronal networks. His research utilizes animal models, including mice and rats, to study these neurological processes.
Metrics
- h-index: 6
- Publications: 15
- Citations: 258
Selected Publications
-
When Random Variation Results in Functional Segregation (2026)
-
When random variation results in functional significance (2023)
-
Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption (2021)
-
Reduced complexity of brain and behavior due to MeCP2 disruption and excessive inhibition (2020)
-
Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex (2019)
Collaboration Network
Top Collaborators
- Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex
- Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption
- Reduced complexity of brain and behavior due to MeCP2 disruption and excessive inhibition
- When random variation results in functional significance
- Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex
- Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption
- Reduced complexity of brain and behavior due to MeCP2 disruption and excessive inhibition
- When random variation results in functional significance
- Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex
- Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption
- When random variation results in functional significance
- Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex
- Reduced complexity of brain and behavior due to MeCP2 disruption and excessive inhibition
- Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption
- When random variation results in functional significance
- When Random Variation Results in Functional Segregation
- When Random Variation Results in Functional Segregation
- When Random Variation Results in Functional Segregation
Similar Researchers
Based on overlapping research topics