Our lab works on understanding learning and memory sleep/wake circuits and how they are altered in neurological and psychiatric disorders. To achieve these goals, we combine human single neuron recordings from patients, in vivo and slice rodent electrophysiology, optogenetics, multiphoton imaging, and intensive development of new analytical and computational neuroscience tools. We use this careful understanding of circuits to build novel translational therapeutics.

New papers from the lab in 2019:


Why are only some individuals more likely to relapse after sleep deprivation? Our new manuscript reviews the overlapping neural circuits involved in both sleep-dependent motivation and reward-seeking behaviors. We present evidence in support of the adoption of the Sign-tracking / Goal-tracking preclinical model to better understand how this circuitry linking sleep and addiction differs across individuals:

Ahrens AM, Ahmed OJ (2019). Neural circuits linking sleep and addiction: animal models to understand why select individuals are more vulnerable to substance use disorders after sleep deprivation. Authorea (April 24) preprint; under review [LINK]


Our computational modeling has identified a new drug combination for treating traumatic brain injuries:

Sudhakar SK, Choi TJ, Ahmed OJ (2019). Biophysical modeling suggests optimal drug combinations for improving the efficacy of GABA agonists after traumatic brain injuries. Journal of Neurotrauma epub ahead of print [LINK]

Two new commentaries on epilepsy circuits and oscillations:

Ahmed OJ, Sudhakar SK (2019). High frequency activity during stereotyped low frequency events might help to identify the seizure onset zone. Epilepsy Currents in press [LINK]

Ahmed OJ, John TT (2019). A straw can break a neural network's back and lead to seizures – but only when delivered at the right time. Epilepsy Currents 19(2):115-116 [LINK]