Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication
- Publication Type
Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
The Effects Of Sports Related Head Impact On Balance And Neurocognitive Functions, Shaquanda D. Ross-Simmons, Michelle L. Vieyra, Abhishek Jain, Keri Weed
The Effects Of Sports Related Head Impact On Balance And Neurocognitive Functions, Shaquanda D. Ross-Simmons, Michelle L. Vieyra, Abhishek Jain, Keri Weed
Journal of the South Carolina Academy of Science
The goal of this study was to investigate the effects of sports-related head injury on balance, attention, and memory. Reliable differences have been found using measures that directly tap into brain functioning, such as the auditory oddball task combined with EEG recording. We hypothesized that athletes reporting a diagnosed concussion or participation in high-risk sports would have compromised balance and neurocognitive functioning compared to athletes in low risk sports. Forty-five undergraduate participants were identified as either concussed, non-concussed in high-risk sports, or non-concussed in low-risk sports using a survey of athletic history, head trauma and demographics. The Biopac MP36 system, …
Firing Rate Heterogeneity And Consequences For Coding In Feedforward Circuits, Cheng Ly, Gary Marsat
Firing Rate Heterogeneity And Consequences For Coding In Feedforward Circuits, Cheng Ly, Gary Marsat
Biology and Medicine Through Mathematics Conference
No abstract provided.
Balanced Excitation And Inhibition Shapes The Dynamics Of A Neuronal Network For Movement And Reward, Anca R. Radulescu
Balanced Excitation And Inhibition Shapes The Dynamics Of A Neuronal Network For Movement And Reward, Anca R. Radulescu
Biology and Medicine Through Mathematics Conference
No abstract provided.
When Do Correlations Increase With Firing Rates?, Andrea Barreiro, Cheng Ly
When Do Correlations Increase With Firing Rates?, Andrea Barreiro, Cheng Ly
Biology and Medicine Through Mathematics Conference
No abstract provided.
Applying Fmri Complexity Analyses To The Single-Subject: A Case Study For Proposed Neurodiagnostics, Anca R. Radulescu, Emily R. Hannon
Applying Fmri Complexity Analyses To The Single-Subject: A Case Study For Proposed Neurodiagnostics, Anca R. Radulescu, Emily R. Hannon
Biology and Medicine Through Mathematics Conference
No abstract provided.
Modeling Cell Proliferation In The Transition From Neurogenesis To Gliogenesis, Christine Mennicke, Troy Ghashghaei, Mansoor A. Haider
Modeling Cell Proliferation In The Transition From Neurogenesis To Gliogenesis, Christine Mennicke, Troy Ghashghaei, Mansoor A. Haider
Biology and Medicine Through Mathematics Conference
No abstract provided.
Noisy Neural Oscillators With Intrinsic And Network Heterogeneity, Kyle P. Wendling, Cheng Ly
Noisy Neural Oscillators With Intrinsic And Network Heterogeneity, Kyle P. Wendling, Cheng Ly
Biology and Medicine Through Mathematics Conference
No abstract provided.
An Interdisciplinary Approach To Computational Neurostimulation, Madison Guitard
An Interdisciplinary Approach To Computational Neurostimulation, Madison Guitard
Biology and Medicine Through Mathematics Conference
No abstract provided.
Rules And Mechanisms For Efficient Two-Stage Learning In Neural Circuits, Tiberiu Teşileanu, Bence Ölveczky, Vijay Balasubramanian
Rules And Mechanisms For Efficient Two-Stage Learning In Neural Circuits, Tiberiu Teşileanu, Bence Ölveczky, Vijay Balasubramanian
Publications and Research
Trial-and-error learning requires evaluating variable actions and reinforcing successful variants. In songbirds, vocal exploration is induced by LMAN, the output of a basal ganglia-related circuit that also contributes a corrective bias to the vocal output. This bias is gradually consolidated in RA, a motor cortex analogue downstream of LMAN. We develop a new model of such two-stage learning. Using stochastic gradient descent, we derive how the activity in ‘tutor’ circuits (e.g., LMAN) should match plasticity mechanisms in ‘student’ circuits (e.g., RA) to achieve efficient learning. We further describe a reinforcement learning framework through which the tutor can build its teaching …