Dr. David Redish Distinguished McKnight University Professor Department of Neuroscience University of Minnesota Abstract: Decision-making is fundamentally about using information from our past (i.e. memory), information from our present (i.e. perception), and information about our potential futures (i.e. goals) to select actions. New neuroscience techniques allow the direct observation and manipulation of information processing in […]
Zayd M. Khaliq Investigator, National Institute of Neurological Disorders and Stroke National Institutes of Health Abstract: The goal of our research is to understand the mechanism of synaptic integration and excitability of neurons located in the basal ganglia. Initial efforts in the lab have focused primarily on synaptic and dendritic properties of dopamine-releasing neurons […]
Dr. Michael Hawrylycz Investigator Allen Institute Abstract: Spatial mapping of multimodal data in neuroscience employs techniques that are essential for the construction of digital atlases of the brain. Such atlases are increasingly used in the study of both humans and model organisms and enable scientists to access and analyze data in novel and meaningful […]
No seminar will be held on February 9th, because of M3C3: Maryland/Mason Meeting for Collaboration on Complexity & Computation, to be held in Research Hall. The Monday Seminars Series will resume on 2/16/2015 with a talk by Dr. Zayd Khaliq entitled Excitability and Synaptic Integration in Midbrain Dopamine Neurons.
Dr. Zayd M. Khaliq, Investigator, NINDS This seminar has been canceled due to inclement weather, but we hope to reschedule Dr. Khaliq for a later date. Abstract: The goal of our research is to understand the mechanism of synaptic integration and excitability of neurons located in the basal ganglia. Initial efforts in the lab have […]
Dr. Margaret Johnson Department of Biophysics Johns Hopkins University We recently developed a free-propagator reweighting (FPR) algorithm that solves reaction-diffusion (RD) dynamics of systems at single particle resolution both accurately and efficiently. The full spatio-temporal resolution of this RD method allows us to model complex biological systems where details like spatial gradients or particle assembly […]
Jeffrey L. Krichmar Department of Cognitive Sciences Department of Computer Science University of California, Irvine Abstract. Neuromorphic engineering takes inspiration from biology to design brain-like systems that are extremely low-power, fault-tolerant, and capable of adaptation to complex environments. The field of neurorobotics has grown into an exciting area of research and engineering. The common goal is twofold: 1) Developing systems that demonstrate some level of cognitive […]
Monday Seminars will resume on 3/16/2015 with a talk by Michael Burman entitled Limbic System Development Underlying the Emergence of Classical Fear Conditioning in the Rat.
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