CTW: Mathematical Neuroendocrinology (August 9-13, 2010)
Organizers: Richard Bertram, Arthur Sherman, Mary Lou Zeeman, Gareth Leng and Stanko Stojilkovic
Neuroendocrinology is at the intersection of neuroscience and endocrinology. Of the many endocrine glands in the body, the one that is under the most direct neural control is the pituitary gland, which is located adjacent to the brain region called the hypothalamus. The anterior portion of the pituitary consists of several cell types, each of which is electrically excitable (like neurons) and which secretes a hormone when activated. Neurons within the hypothalamus act on pituitary cells to evoke hormone secretion at the proper times and under the proper physical stimuli. The pituitary hormones then act on other endocrine glands (like pineal, adrenal, ovaries, and testes) to influence secretion of hormones. All of the hormones influence neuron activity within the hypothalamus, closing the loop. Mathematical neuroendocrinology is a new field that uses mathematical modeling and analysis to help interpret neuroendocrine data and design new experiments. Models have been developed at the cellular and systems level.
This workshop is the second in a series (the first was held at AIM) and will continue dialogues and collaborations between mathematicians and experimentalists begun at AIM. One goal is to discuss problems in neuroendocrinology that can be addressed using mathematics. These discussions took place during the first meeting, but we now have a better feel for the types of problems of interest. Another goal is to bring young mathematicians and experimentalists who have never worked with mathematical biologists into the mathematical biology community to spur its growth.
Accepted Speakers
- Ursula Kaiser (Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women's Hospital)
- Yue-Xian Li (Mathematics and Zoology, University of British Columbia)
- Sue Moenter (Medicine & Biology; Director, Neuroscience Graduate Program, University of Virginia)
- Arthur Sherman (LBM/NIDDK/NIH)
- Michael Shipston (Centre for Integrative Physiology, University of Edinburgh)
- Stanko Stojilkovic (Endocrinology & Reproduction Research Branch, NICHD)
- Richard Yamada (Department of Mathematics, University of Michigan)
Accepted Participants
- Richard Bertram (Mathematics, Florida State University)
- Xavier Bonnefont (Endocrinology, Institute of Functional Genomics)
- Nick Ciccone (Brigham and Women's Hospital, Harvard Medical School)
- Frederique Clement (INRIA Paris-Rocquencourt)
- Casey Diekman (Bioinformatics, University of Michigan)
- Jianfeng Feng (Centre for Scientific Computing, University of Warwick)
- Patrick Fletcher (Mathematics, Florida State University)
- Mark Freeman (Biological Sciences, Florida State University)
- Kasia Glanowska (University of Virginia)
- Cleyde Helena (Neuroscience Program, Florida State University)
- Arturo Iglesias (Biological Sciences, Florida State University)
- Anmar Khadra (National Institute of Health)
- Marek Kucka (Endocrinology and Reproduction Research Branch, NICHD)
- Gareth Leng (Centre for Integrative Physiology, University of Edinburgh)
- David McCobb (Neurobiology and Behavior, Cornell University)
- Onno Meijer (Medical Pharmacology, Leiden University Medical Center)
- Patrice Mollard (Endocrinology, Institute of Functional Genomics, University of Montpellier)
- Peter Roper (Physiology, University of Utah)
- Jim Selgrade (Mathematics, North Carolina State University)
- Joel Tabak (Biological Sciences, Florida State University)
- Maurizio Tomaiuolo (Neuroscience Program, Florida State University)
- Krasimira Tsaneva-Atanasova (Engineering Mathematics, University of Bristol)
- Alexandre Vidal (Mathematics, Universite d'Evry Val d'Essone)
- Mary Lou Zeeman (Mathematics, Bowdoin College)
