Biophysics is an interdisciplinary science that applies approaches and methods traditionally used in physics to study biological phenomena. Biophysics covers all scales of biological organization, from molecular to organismic and populations. Biophysical research shares significant overlap with biochemistry, molecular biology, physical chemistry, physiology, nanotechnology, bioengineering, computational biology, biomechanics, developmental biology and systems biology.
Computational neuroscience is a branch of neuroscience which employs mathematical models, computer simulations, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.
Leon N. Cooper is an American physicist and Nobel Prize laureate who, with John Bardeen and John Robert Schrieffer, developed the BCS theory of superconductivity. His name is also associated with the Cooper pair and co-developer of the BCM theory of synaptic plasticity.
Terrence Joseph Sejnowski is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory and is the director of the Crick-Jacobs center for theoretical and computational biology. He has performed pioneering research in neural networks and computational neuroscience.
First published in 1981 by Elsevier, Principles of Neural Science is an influential neuroscience textbook edited by Columbia University professors Eric R. Kandel, James H. Schwartz, and Thomas M. Jessell. The original edition was 468 pages; now on the sixth edition, the book has grown to 1646 pages. The second edition was published in 1985, third in 1991, fourth in 2000. The fifth was published on October 26, 2012 and included Steven A. Siegelbaum and A.J. Hudspeth as editors. The sixth and latest edition was published on March 8, 2021.
Neurophysics is the branch of biophysics dealing with the development and use of physical methods to gain information about the nervous system. Neurophysics is an interdisciplinary science using physics and combining it with other neurosciences to better understand neural processes. The methods used include the techniques of experimental biophysics and other physical measurements such as EEG mostly to study electrical, mechanical or fluidic properties, as well as theoretical and computational approaches. The term "neurophysics" is a portmanteau of "neuron" and "physics".
Eve Marder is a University Professor and the Victor and Gwendolyn Beinfield Professor of Neuroscience at Brandeis University. At Brandeis, Marder is also a member of the Volen National Center for Complex Systems. Dr. Marder is known for her pioneering work on small neuronal networks which her team has interrogated via a combination of complementary experimental and theoretical techniques.
The Max Delbruck Prize, formerly known as the Biological physics prize, is awarded by the Division of Biological Physics of the American Physical Society, to recognize and encourage outstanding achievement in biological physics research. The prize was established in 1981, and renamed for Max Delbrück in 2006. The award consists of $10,000, an allowance for travel to the meeting where the prize is awarded, and a certificate. It was presented biennially in even-numbered years until 2014, and will be presented annually starting 2015.
Mikhail Izrailevich Rabinovich (MIR) is a Russian influential physicist and neuroscientist working in the field of nonlinear dynamics and its applications. His work helped shape the understanding of dynamical systems.
In biology, optimality models are a tool used to evaluate the costs and benefits of different organismal features, traits, and characteristics, including behavior, in the natural world. This evaluation allows researchers to make predictions about an organisms's optimal behavior or other aspects of its phenotype. Optimality modeling is the modeling aspect of optimization theory. It allows for the calculation and visualization of the costs and benefits that influence the outcome of a decision, and contributes to an understanding of adaptations. The approach based on optimality models in biology is sometimes called optimality theory.
The Bernstein Network Computational Neuroscience is a research network in the field of computational neuroscience; this field brings together experimental approaches in neurobiology with theoretical models and computer simulations. It unites different scientific disciplines, such as physics, biology, mathematics, medical science, psychology, computer science, engineering and philosophy in the endeavor to understand how the brain functions. The close combination of neurobiological experiments with theoretical models and computer simulations allows scientists of the Bernstein Network to pursue innovative approaches with regard to one of the most complex structures nature has created in the course of evolution: the natural brain.
Laurence Frederick Abbott is an American theoretical neuroscientist, who is currently the William Bloor Professor of Theoretical Neuroscience at Columbia University, where he helped create the Center for Theoretical Neuroscience. He is widely regarded as one of the leaders of theoretical neuroscience, and is coauthor, along with Peter Dayan, on the first comprehensive textbook on theoretical neuroscience, which is considered to be the standard text for students and researchers entering theoretical neuroscience. He helped invent the dynamic clamp method alongside Eve Marder.
The Princeton Neuroscience Institute (PNI) is a center for neuroscience research at Princeton University. Founded in the spring of 2004, the PNI serves as a "stimulus for teaching and research in neuroscience and related fields" and "places particular emphasis on the close connection between theory, modeling, and experimentation using the most advanced technologies." It often partners with Princeton University's departments of Psychology and Molecular Biology.
Haim Sompolinsky, is the William N. Skirball Professor of Neuroscience at the Edmond and Lily Safra Center for Brain Sciences, and a professor of physics at the Racah Institute of Physics at The Hebrew University of Jerusalem, Israel. He is also a visiting professor in the Center of Brain Science at Harvard University and the director of Harvard's Swartz Program in Theoretical Neuroscience. He is widely regarded as one of the leaders of theoretical neuroscience.
Ned S. Wingreen is a theoretical physicist and the Howard A. Prior Professor of the Life Sciences at Princeton University. He is a member of the Department of Molecular Biology and of the Lewis-Sigler Institute for Integrative Genomics, where he is currently director of graduate studies. He is the associate director of the Princeton Center for Theoretical Science, and is also associated faculty in the department of physics. Working with Yigal Meir, Wingreen formulated the Meir-Wingreen Formula which describes the electric current through an arbitrary mesoscopic system.
David W. Tank is an American molecular biologist and neuroscientist who is the Henry L. Hillman Professor in Molecular Biology at Princeton University and the co-director of the Princeton Neuroscience Institute along with psychology professor Jonathan Cohen.
Misha Tsodyks is a leading theoretical and computational neuroscientist whose research focuses on identifying neural algorithms underlying cortical systems and cognitive behavior. His most notable achievements include demonstrating the importance of sparsity in neural networks, describing the mechanisms of short-term synaptic plasticity and working and associative memory.
Adrienne Fairhall is a University Professor in the Department of Physiology and Biophysics and an adjunct Professor in the Departments of Physics and Applied Mathematics, as well as the director of the Computational Neuroscience Program and co-director of the Institute for Neuroengineering at the University of Washington.
Kanaka Rajan is a neuroscientist and associate professor in the Department of Neuroscience and Friedman Brain Institute at the Icahn School of Medicine at Mount Sinai in New York City. Rajan trained in engineering, biophysics, and neuroscience, and has pioneered novel methods and models to understand how the brain processes sensory information. Her research seeks to understand how important cognitive functions — such as learning, remembering, and deciding — emerge from the cooperative activity of multi-scale neural processes, and how those processes are affected by various neuropsychiatric disease states. The resulting integrative theories about the brain bridge neurobiology and artificial intelligence.
Wulfram Gerstner is a German and Swiss computational neuroscientist. His research focuses on neural spiking patterns in neural networks, and their connection to learning, spatial representation and navigation. Since 2006 Gerstner has been a full professor of Computer Science and Life Sciences at École Polytechnique Fédérale de Lausanne (EPFL), where he also serves as a Director of the Laboratory of Computational Neuroscience.
