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Articles 1 - 9 of 9

Full-Text Articles in Life Sciences

The Effects Of Sports Related Head Impact On Balance And Neurocognitive Functions, Shaquanda D. Ross-Simmons, Michelle L. Vieyra, Abhishek Jain, Keri Weed Nov 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 May 2017

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 Jan 2017

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 …