Neural Dynamics And Brain Function
17 researchers across 2 institutions
Researchers explore the complex electrical and chemical activity within the brain to understand how it generates cognition, emotion, and behavior. This work investigates the fundamental principles of neural communication, including how neurons form networks, process information, and adapt over time. Methodologies span computational modeling of neural circuits, analysis of large-scale brain data using advanced statistical techniques, and experimental approaches that examine neural activity through various imaging and recording methods. Areas of focus include understanding sensory perception, learning and memory, decision-making, and the neural underpinnings of neurological and psychiatric conditions.
In Arkansas, this research has direct relevance to public health challenges, particularly concerning the state's demographics and the prevalence of neurological and mental health conditions. Understanding brain function can inform the development of diagnostic tools and therapeutic strategies for disorders affecting cognitive abilities and mental well-being. Furthermore, insights into neural dynamics can contribute to the growing fields of artificial intelligence and advanced computing, potentially supporting technological innovation within the state. The analysis of complex biological networks also offers avenues for understanding environmental impacts on neurological health, an area of interest given Arkansas's diverse natural resources.
This area of study draws upon and contributes to diverse fields such as neuroscience, pharmacology, psychology, computer science, and engineering. The research is conducted collaboratively across institutions within Arkansas, fostering interdisciplinary dialogue and a broad spectrum of expertise to address multifaceted questions about brain function.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Ranu Jung | University of Arkansas | 24 | 2,375 | High Impact Grants | |
| Shree Hari Gautam | University of Arkansas | 13 | 542 | ||
| Kenneth D. Turnbull | University of Arkansas | 12 | 315 | ||
| Caitlin N. Price | UAMS | 7 | 224 | ||
| Antonio J. Fontenele | University of Arkansas | 6 | 310 | ||
| Stephanie J. Kane | University of Arkansas | 4 | 45 | ||
| Andres E. Pena | University of Arkansas | 4 | 93 | ||
| Kevin P. Fialkowski | UAMS | 4 | 60 | ||
| J. Samuel Sooter | University of Arkansas | 3 | 33 | ||
| Russell Mach | University of Arkansas | 3 | 106 | ||
| Srimoy Chakraborty | University of Arkansas | 2 | 29 | Grant PI | |
| Jacob H Barfield | University of Arkansas | 2 | 41 | ||
| Sabrina A Jones | University of Arkansas | 2 | 41 | ||
| Ayla C. Osgood | University of Arkansas | 1 | 14 | ||
| Laura Stanley | UAMS | 0 | 0 | ||
| Hillary Williams | UAMS | 0 | 0 | ||
| Linda Larson-Prior | UAMS | 0 | 0 |
Related Research Areas
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Neural Dynamics And Brain Function.