Campbell FW & Green DG. Optical and Retinal Factors Affecting Visual
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BMC Systems Biology Biomed Central
BMC Systems Biology BioMed Central Commentary Open Access The long journey to a Systems Biology of neuronal function Nicolas Le Novère* Address: EMBL-EBI, Wellcome-Trust Genome Campus, CB10 1SD Hinxton, UK Email: Nicolas Le Novère* - [email protected] * Corresponding author Published: 13 June 2007 Received: 13 April 2007 Accepted: 13 June 2007 BMC Systems Biology 2007, 1:28 doi:10.1186/1752-0509-1-28 This article is available from: http://www.biomedcentral.com/1752-0509/1/28 © 2007 Le Novère; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Computational neurobiology was born over half a century ago, and has since been consistently at the forefront of modelling in biology. The recent progress of computing power and distributed computing allows the building of models spanning several scales, from the synapse to the brain. Initially focused on electrical processes, the simulation of neuronal function now encompasses signalling pathways and ion diffusion. The flow of quantitative data generated by the "omics" approaches, alongside the progress of live imaging, allows the development of models that will also include gene regulatory networks, protein movements and cellular remodelling. A systems biology of brain functions and disorders can now be envisioned. As it did for the last half century, neuroscience can drive forward the field of systems biology. 1 Modelling nervous function, an ancient quest To accurately model neuronal function presents many Neurosciences have a long and successful tradition of challenges, and stretches the techniques and resources of quantitative modelling, where theory and experiment computational biology to their limits. -
The Creation of Neuroscience
The Creation of Neuroscience The Society for Neuroscience and the Quest for Disciplinary Unity 1969-1995 Introduction rom the molecular biology of a single neuron to the breathtakingly complex circuitry of the entire human nervous system, our understanding of the brain and how it works has undergone radical F changes over the past century. These advances have brought us tantalizingly closer to genu- inely mechanistic and scientifically rigorous explanations of how the brain’s roughly 100 billion neurons, interacting through trillions of synaptic connections, function both as single units and as larger ensem- bles. The professional field of neuroscience, in keeping pace with these important scientific develop- ments, has dramatically reshaped the organization of biological sciences across the globe over the last 50 years. Much like physics during its dominant era in the 1950s and 1960s, neuroscience has become the leading scientific discipline with regard to funding, numbers of scientists, and numbers of trainees. Furthermore, neuroscience as fact, explanation, and myth has just as dramatically redrawn our cultural landscape and redefined how Western popular culture understands who we are as individuals. In the 1950s, especially in the United States, Freud and his successors stood at the center of all cultural expla- nations for psychological suffering. In the new millennium, we perceive such suffering as erupting no longer from a repressed unconscious but, instead, from a pathophysiology rooted in and caused by brain abnormalities and dysfunctions. Indeed, the normal as well as the pathological have become thoroughly neurobiological in the last several decades. In the process, entirely new vistas have opened up in fields ranging from neuroeconomics and neurophilosophy to consumer products, as exemplified by an entire line of soft drinks advertised as offering “neuro” benefits. -
Cambridge's 92 Nobel Prize Winners Part 2 - 1951 to 1974: from Crick and Watson to Dorothy Hodgkin
Cambridge's 92 Nobel Prize winners part 2 - 1951 to 1974: from Crick and Watson to Dorothy Hodgkin By Cambridge News | Posted: January 18, 2016 By Adam Care The News has been rounding up all of Cambridge's 92 Nobel Laureates, celebrating over 100 years of scientific and social innovation. ADVERTISING In this installment we move from 1951 to 1974, a period which saw a host of dramatic breakthroughs, in biology, atomic science, the discovery of pulsars and theories of global trade. It's also a period which saw The Eagle pub come to national prominence and the appearance of the first female name in Cambridge University's long Nobel history. The Gender Pay Gap Sale! Shop Online to get 13.9% off From 8 - 11 March, get 13.9% off 1,000s of items, it highlights the pay gap between men & women in the UK. Shop the Gender Pay Gap Sale – now. Promoted by Oxfam 1. 1951 Ernest Walton, Trinity College: Nobel Prize in Physics, for using accelerated particles to study atomic nuclei 2. 1951 John Cockcroft, St John's / Churchill Colleges: Nobel Prize in Physics, for using accelerated particles to study atomic nuclei Walton and Cockcroft shared the 1951 physics prize after they famously 'split the atom' in Cambridge 1932, ushering in the nuclear age with their particle accelerator, the Cockcroft-Walton generator. In later years Walton returned to his native Ireland, as a fellow of Trinity College Dublin, while in 1951 Cockcroft became the first master of Churchill College, where he died 16 years later. 3. 1952 Archer Martin, Peterhouse: Nobel Prize in Chemistry, for developing partition chromatography 4. -
The Birth of Information in the Brain: Edgar Adrian and the Vacuum Tube,” Science in Context 28: 31-52
Garson, J. (2015) “The Birth of Information in the Brain: Edgar Adrian and the Vacuum Tube,” Science in Context 28: 31-52. Preprint (not copyedited or formatted) Please use DOI when citing or quoting: https://doi- org.proxy.wexler.hunter.cuny.edu/10.1017/S0269889714000313 The Birth of Information in the Brain: Edgar Adrian and the Vacuum Tube Word Count: 10, 418 Abstract: As historian Henning Schmidgen notes, the scientific study of the nervous system would have been ‘unthinkable’ without the industrialization of communication in the 1830s. Historians have investigated extensively the way nerve physiologists have borrowed concepts and tools from the field of communications, particularly regarding the nineteenth-century work of figures like Helmholtz and in the American Cold War Era. The following focuses specifically on the interwar research of the Cambridge physiologist Edgar Douglas Adrian, and on the technology that led to his Nobel-Prize- winning research, the thermionic vacuum tube. Many countries used the vacuum tube during the war for the purpose of amplifying and intercepting coded messages. These events provided a context for Adrian’s evolving understanding of the nerve fiber in the 1920s. In particular, they provide the background for Adrian’s transition around 1926 to describing the nerve impulse in terms of “information,” “messages,” “signals,” or even “codes,” and for translating the basic principles of the nerve, such as the all-or-none principle and adaptation, into such an “informational” context. The following also places Adrian’s research in the broader context of the changing relationship between science and technology, and between physics and physiology, in the first few decades of the twentieth century. -
The Fessard's School of Neurophysiology After
The fessard’s School of neurophysiology after the Second World War in france: globalisation and diversity in neurophysiological research (1938-1955) Jean-Gaël Barbara To cite this version: Jean-Gaël Barbara. The fessard’s School of neurophysiology after the Second World War in france: globalisation and diversity in neurophysiological research (1938-1955). Archives Italiennes de Biologie, Universita degli Studi di Pisa, 2011. halshs-03090650 HAL Id: halshs-03090650 https://halshs.archives-ouvertes.fr/halshs-03090650 Submitted on 11 Jan 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The Fessard’s School of neurophysiology after the Second World War in France: globalization and diversity in neurophysiological research (1938-1955) Jean- Gaël Barbara Université Pierre et Marie Curie, Paris, Centre National de la Recherche Scientifique, CNRS UMR 7102 Université Denis Diderot, Paris, Centre National de la Recherche Scientifique, CNRS UMR 7219 [email protected] Postal Address : JG Barbara, UPMC, case 14, 7 quai Saint Bernard, 75005, -
Cells of the Nervous System
3/23/2015 Nervous Systems | Principles of Biology from Nature Education contents Principles of Biology 126 Nervous Systems A flock of Canada geese use auditory and visual cues to maintain a V formation in flight. How are these animals able to respond so quickly to environmental cues? All animals possess neurons, cells that form a complex network capable of transmitting and receiving signals. This neural network forms the nervous system. The nervous system coordinates the movement and internal physiology of an organism, as well as its decisionmaking and behavior. In all but the simplest animals, neurons are bundled into nerves that facilitate signal transmission. More complex animals have a central nervous system (CNS) that includes the brain and nerve cords. Vertebrates also have a peripheral nervous system (PNS) that transmits signals between the body and the CNS. Cells of the Nervous System Structure of the neuron. Figure 1 shows the general structure of a neuron. The organelles and nucleus of a neuron are contained in a large central structure called the cell body, or soma. Most nerve cells also have multiple dendrites in addition to the cell body. Dendrites are short, branched extensions that receive signals from other neurons. Each neuron also has a single axon, a long extension that transmits signals to other cells. The point of attachment of the axon to the cell body is called the axon hillock. The other end of the axon is usually branched, and each branch ends in a synaptic terminal. The synaptic terminal forms a synapse, or junction, with another cell. -
A Systems Approach to Biology
A systems approach to biology SB200 Lecture 1 16 September 2008 Jeremy Gunawardena [email protected] Jeremy Walter Johan Gunawardena Fonatana Paulsson Topics for this lecture What is systems biology? Why do we need mathematics and how is it used? Mathematical foundations – dy namical systems. Cellular decision making What is systems biology? How do the collective interactions of the components give rise to the physiology and pathology of the system? Marc Kirschner, “ The meaning of systems biology”, Cell 121:503-4 2005. Top-down ª-omicsº system = whole cell / organism model = statistical correlations data = high-throughput, poor quality too much data, not enough analysis Bottom-up ªmechanisticº system = network or pathway model = mechanistic, biophysical data = quantitative, single-cell not enough data, too much analysis Why do we need mathematics? There have always been two traditions in biology ... Descriptive Analytical 1809-1882 1822-1884 Mathematics allows you to guess the invisible components before anyone works out how to find them ... Bacterial potassium channel closed (left) and open (right) – Dutta & Goodsell, “Mo lecule of the Month” , Feb 2003, PDB. but these days we know many of the components – and there are an awful lot of them – so how are models used in systems biology? Thick models More detail leads to improved quantitative prediction simulation of electrical activity in a mechanically realistic whole heart Dennis Noble, “ Modeling the heart – from genes to cells to the whole organ” , Science 295:1678-82 2002. Thick models E coli biochemical circuit screen shot of simulated E coli swimming in 0.1mM Asp Bray, Levin & Lipkow, “ The chemotactic behaviour of computer-based surrogate bacteria” , Curr Biol 17:12-9 2007. -
1. Overview 2. Database Architecture 3. Example Tree 6. Mentorship Network Influences?
Neurotree: Graphing the academic genealogy of neuroscience Stephen V. David1, Will Chertoff1, Titipat Achakulvisut2, Daniel Acuna2 1Oregon Health & Science University, 2Northwestern University 1. Overview 3. Example tree 4. Founding ancestors Neurotree (http://neurotree.org, [1]) is a collaborative, open-access Name N Resarch area Family tree The distance between two nodes can be Johannes Müller 7715 Physiology website that tracks and visualizes the academic genealogy and history P+ William Fitch measured by the number of mentorship Sir Charles Sherrington 4758 Neurophysiology of neuroscience. After 10 years of growth driven by user-generated Allen Hermann von Helmholtz 3048 Psychophysics University of P- steps connecting them through a Sir John Eccles 2998 Synapses content, the site has captured information about the mentorship of over Rudolf Oregon Ludwig Robert Samuel Alexander Sir Charles Medical common ancestor i(below). The list at Karl Lashley 2558 Learning and memory 80,000 neuroscientists. It has become a unique tool for a community of John Friedrich Karl Koch Sir Charles Kinnier Charles Gordon John Scott Sir Charles Harvey Sir Charles Karl Edgar School C+ Louis Agassiz 2241 Anatomy Sir Michael Newport Goltz Virchow Universität Scott Wilson Symonds Holmes Farquhar Sherrington Scott Williams Scott Spencer Wilder Douglas Frederic right shows the 30 most frequent primary researchers, students, journal editors, and the press. Once Foster Langley Kaiser-Wilhelms- Universität Berlin (ID Sherrington National Hospital, Queen National -
Research Organizations and Major Discoveries in Twentieth-Century Science: a Case Study of Excellence in Biomedical Research
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Hollingsworth, Joseph Rogers Working Paper Research organizations and major discoveries in twentieth-century science: A case study of excellence in biomedical research WZB Discussion Paper, No. P 02-003 Provided in Cooperation with: WZB Berlin Social Science Center Suggested Citation: Hollingsworth, Joseph Rogers (2002) : Research organizations and major discoveries in twentieth-century science: A case study of excellence in biomedical research, WZB Discussion Paper, No. P 02-003, Wissenschaftszentrum Berlin für Sozialforschung (WZB), Berlin This Version is available at: http://hdl.handle.net/10419/50229 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. www.econstor.eu P 02 – 003 RESEARCH ORGANIZATIONS AND MAJOR DISCOVERIES IN TWENTIETH-CENTURY SCIENCE: A CASE STUDY OF EXCELLENCE IN BIOMEDICAL RESEARCH J. -
CHEM 360 - Cambridge Scientists
CHEM 360 - Cambridge Scientists Instructor: Dana Lashley This course will satisfy either COLL 300 or alternatively COLL 200 NQR looking out to the CSI domain. Class time: MTWRF between July 6th and August 7th. This class is taught synchronously or LIVE at 2.30-4.00pm. There are no classes held on Fridays (see below under movies and final exam). Introduction: The list of prominent scientist associated with Cambridge University is as impressive as it is endless. In this course students will learn about the most eminent of these scientists who have emerged from Cambridge over the past 400 years and whose specialties encompass various fields such as mathematics, physics, biochemistry and biology. The accomplishments of these ingenious scientists, many of whom are Nobel Laureates, have changed the course of mankind forever. Objectives: Students will learn about the lives of these scientists through lectures, movies and reading of scientific texts, historical essays and personal memoirs. The most important scientific contributions of each scientist will be discussed to an extent that does not require any college-level science prerequisites so that students from all prospective majors can follow this class. We will investigate how these scientific contributions impacted on society and talk about their modern applications. Lectures will be complemented by field trips in which we will visit historical sites and “walk in the footsteps” of these Cambridge scientists. Several museum trips accompanied by class assignments will be tied into the class assessment. Moreover we will talk about the struggles of some of these scientists as a result of sexism, racism, homophobia or ableism and compare to what extent these topics still pose a problem for scientist today. -
The Fessard's School of Neurophysiology After the Second
Archives Italiennes de Biologie, 149 (Suppl.): 187-195, 2011. The fessard’s School of neurophysiology after the Second World War in france: globalisation and diversity in neurophysiological research (1938-1955) J.-G. BARBARA Université Pierre et Marie Curie, Paris, Centre National de la Recherche Scientifique, CNRS UMR 7102; Université Denis Diderot, Paris, Centre National de la Recherche Scientifique, CNRS UMR 7219 ABSTRACT In France, neurophysiology emerged after the Second World War as a dynamic discipline in different schools, Toulouse, Lyons, Montpellier, Marseilles, and Paris, where Lapicque was losing credit with his studies on the excitability of nerves. Parisian neurophysiologist, Alfred Fessard (1900-1982) was a key figure in establishing a new school of neurophysiology on the model of Edgar Adrian’s department in Cambridge, where he worked for a few months in the late thirties. Fessard was initially a student of Henri Piéron involved in experimental psychology. He also made parallel oscillographic studies on elementary activities in various animal and plant preparations. His school trained leading French neurophysiologists in Paris until recently and Fessard was instrumental in the creation of IBRO in 1961. Key words Neurophysiology • France • Fessard • IBRO • Torpedo fish • Chemical neurotransmission After the Second World War, major French figures Marey suggested the creation of an International in neurophysiology emerged from different tradi- Commission for the control of graphical instruments tions in Toulouse, Lyons Montpellier, Strasburg, devoted to physiology. A new cottage named Institut Marseilles, and Paris. Alfred Fessard (1900-1982) is Marey was built near the Physiological Station recognized today as a most talented neurophysiolo- Marey had planned for his studies on movement in gist in the 1940s and 1950s who was able to create Boulogne-Billancourt, Le Parc des Princes, near his own school near Paris, in the former Institut Paris. -
Gerald Edelman - Wikipedia, the Free Encyclopedia
Gerald Edelman - Wikipedia, the free encyclopedia Create account Log in Article Talk Read Edit View history Gerald Edelman From Wikipedia, the free encyclopedia Main page Gerald Maurice Edelman (born July 1, 1929) is an Contents American biologist who shared the 1972 Nobel Prize in Gerald Maurice Edelman Featured content Physiology or Medicine for work with Rodney Robert Born July 1, 1929 (age 83) Current events Porter on the immune system.[1] Edelman's Nobel Prize- Ozone Park, Queens, New York Nationality Random article winning research concerned discovery of the structure of American [2] Fields Donate to Wikipedia antibody molecules. In interviews, he has said that the immunology; neuroscience way the components of the immune system evolve over Alma Ursinus College, University of Interaction the life of the individual is analogous to the way the mater Pennsylvania School of Medicine Help components of the brain evolve in a lifetime. There is a Known for immune system About Wikipedia continuity in this way between his work on the immune system, for which he won the Nobel Prize, and his later Notable Nobel Prize in Physiology or Community portal work in neuroscience and in philosophy of mind. awards Medicine in 1972 Recent changes Contact Wikipedia Contents [hide] Toolbox 1 Education and career 2 Nobel Prize Print/export 2.1 Disulphide bonds 2.2 Molecular models of antibody structure Languages 2.3 Antibody sequencing 2.4 Topobiology 3 Theory of consciousness Беларуская 3.1 Neural Darwinism Български 4 Evolution Theory Català 5 Personal Deutsch 6 See also Español 7 References Euskara 8 Bibliography Français 9 Further reading 10 External links Hrvatski Ido Education and career [edit] Bahasa Indonesia Italiano Gerald Edelman was born in 1929 in Ozone Park, Queens, New York to Jewish parents, physician Edward Edelman, and Anna Freedman Edelman, who worked in the insurance industry.[3] After עברית Kiswahili being raised in New York, he attended college in Pennsylvania where he graduated magna cum Nederlands laude with a B.S.