Mriganka Sur | |
---|---|
Born | 1953 (age 70–71) |
Nationality | Indian |
Occupation | Neuroscientist |
Academic background | |
Alma mater | IIT Kanpur (B.Tech.) Vanderbilt University (M.Eng.), (Eng.D.) |
Academic work | |
Institutions | Massachusetts Institute of Technology Yale University |
Website | www |
Mriganka Sur (born 1953 in Fatehgarh,India) is an Indian neuroscientist. He is the Newton Professor of Neuroscience and Director of the Simons Center for the Social Brain at the Massachusetts Institute of Technology. [1] [2] He is also a visiting faculty member in the Department of Computer Science and Engineering at the Indian Institute of Technology Madras and N.R. Narayana Murthy Distinguished Chair in Computational Brain Research at the Centre for Computational Brain Research,IIT Madras. [3] [4] He was on the Life Sciences jury for the Infosys Prize in 2010 and has been serving as jury chair from 2018. [5]
Mriganka Sur did his early schooling at the St. Joseph's Collegiate School,Allahabad. He received the Bachelor of Technology degree in electrical engineering from the Indian Institute of Technology in Kanpur (IIT Kanpur) in 1974,and the Master of Science and PhD degrees in electrical engineering in 1975 and 1978,respectively,from Vanderbilt University in Nashville.[ citation needed ] After postdoctoral research at Stony Brook University,he was appointed to the faculty of Yale University School of Medicine in 1983. He joined the faculty of the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT) in 1986. He was named in 1993 professor of neuroscience and in 1997 head of the Department of Brain and Cognitive Sciences. He is currently the Newton Professor of Neuroscience and director of the Simons Center for the Social Brain at Massachusetts Institute of Technology. [6] [7] [8] [9]
Sur is a pioneer in technology development for analyzing the function and structure of neurons and synapses in the live brain,and the study of brain plasticity and its mechanisms. His laboratory uses experimental and computational approaches to study developmental plasticity and dynamic changes in mature cortical networks during information processing and learning. His laboratory has discovered fundamental principles by which neurons of the cerebral cortex are wired during development and operate dynamically in adulthood to enable perception,cognition and action.
In landmark experiments,he "rewired" the brain to explore how the environment influences the development of cortical circuits. The retina,which normally projects to the visual cortex,was induced to project to structures that normally process hearing. Visual input altered the development of neuronal connections in the auditory cortex,thus enabling animals to use their "hearing" cortex to "see."
These findings have implications for restoring function after brain damage and for constructing neural prostheses for recovery from stroke or trauma. The Sur laboratory also studies genes involved in constructing the cerebral cortex,and the ways in which gene networks are influenced by brain activity. These studies are providing important insights into childhood disorders such as autism. Stemming from this work,a pharmacological treatment for Rett Syndrome is in advanced clinical trials.
By imaging calcium responses of single neurons and a closely related glial cell type,astrocytes,in vivo using high resolution imaging methods,his laboratory has discovered that astrocytes have remarkably specific functional properties and mediate blood flow to active brain regions. This work has revealed the mechanism for noninvasive brain imaging methods such as functional magnetic resonance imaging (fMRI).
The Sur lab pioneered all-optical measurements of single-neuron activity with cell-specific manipulations to discover unique functions of inhibitory neuron classes in brain computations. Their imaging technologies combined with decoding and encoding models have revealed novel principles of memory-guided decisions across cortical areas and subcortical targets. The impact of these discoveries,which answer long-standing questions about computations underlying learning,decision-making and sensory-motor transformations,ranges from understanding dysregulation in brain disorders to brain architectures for next-generation AI.
Sur has been elected to the membership of the National Academy of Medicine USA,the Royal Society of London,the American Academy of Arts and Sciences,the Indian National Science Academy and the World Academy of Sciences. He has also been elected to the American Association for the Advancement of Science,the National Academy of Sciences,India,the Rodin Academy Sweden,and the Neurosciences Research Program. He has been awarded the Krieg Cortical Discoverer Prize (2016) and the Doctor of Science honoris causa from Indian Institute of Technology,Kanpur (2017). He has received the Charles Judson Herrick Award from the American Association of Anatomists (1983),the A.P. Sloan Foundation Fellowship (1985),the McKnight Neuroscience Development Award (1988),the School of Science Prize for Excellence in Graduate Teaching (2000),the Distinguished Overseas Lectureship of the Australian Neuroscience Society (2000),the Sigma Xi Distinguished Lectureship (2001),and the Distinguished Alumnus Award of IIT Kanpur (2002),and named among the top 50 alumni of IIT Kanpur (2010). He has been honoured at MIT with the Hans-Lukas Teuber Scholar Award in the Brain Sciences (1997),the Sherman Fairchild Chair (1998),and the Newton Chair (2008).
Computational neuroscience is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.
The auditory cortex is the part of the temporal lobe that processes auditory information in humans and many other vertebrates. It is a part of the auditory system, performing basic and higher functions in hearing, such as possible relations to language switching. It is located bilaterally, roughly at the upper sides of the temporal lobes – in humans, curving down and onto the medial surface, on the superior temporal plane, within the lateral sulcus and comprising parts of the transverse temporal gyri, and the superior temporal gyrus, including the planum polare and planum temporale.
In physiology, tonotopy is the spatial arrangement of where sounds of different frequency are processed in the brain. Tones close to each other in terms of frequency are represented in topologically neighbouring regions in the brain. Tonotopic maps are a particular case of topographic organization, similar to retinotopy in the visual system.
In developmental psychology and developmental biology, a critical period is a maturational stage in the lifespan of an organism during which the nervous system is especially sensitive to certain environmental stimuli. If, for some reason, the organism does not receive the appropriate stimulus during this "critical period" to learn a given skill or trait, it may be difficult, ultimately less successful, or even impossible, to develop certain associated functions later in life. Functions that are indispensable to an organism's survival, such as vision, are particularly likely to develop during critical periods. "Critical period" also relates to the ability to acquire one's first language. Researchers found that people who passed the "critical period" would not acquire their first language fluently.
Neuroplasticity, also known as neural plasticity or brain plasticity, is the ability of neural networks in the brain to change through growth and reorganization. It is when the brain is rewired to function in some way that differs from how it previously functioned. These changes range from individual neuron pathways making new connections, to systematic adjustments like cortical remapping or neural oscillation. Other forms of neuroplasticity include homologous area adaptation, cross modal reassignment, map expansion, and compensatory masquerade. Examples of neuroplasticity include circuit and network changes that result from learning a new ability, information acquisition, environmental influences, pregnancy, caloric intake, practice/training, and psychological stress.
David J. Heeger is an American neuroscientist, psychologist, computer scientist, data scientist, and entrepreneur. He is a professor at New York University, Chief Scientific Officer of Statespace Labs, and Chief Scientific Officer and co-founder of Epistemic AI.
Ocular dominance columns are stripes of neurons in the visual cortex of certain mammals that respond preferentially to input from one eye or the other. The columns span multiple cortical layers, and are laid out in a striped pattern across the surface of the striate cortex (V1). The stripes lie perpendicular to the orientation columns.
Michael Matthias Merzenich is an American neuroscientist and professor emeritus at the University of California, San Francisco. He took the sensory cortex maps developed by his predecessors and refined them using dense micro-electrode mapping techniques. Using this, he definitively showed there to be multiple somatotopic maps of the body in the postcentral sulcus, and multiple tonotopic maps of the acoustic inputs in the superior temporal plane.
Cross modal plasticity is the adaptive reorganization of neurons to integrate the function of two or more sensory systems. Cross modal plasticity is a type of neuroplasticity and often occurs after sensory deprivation due to disease or brain damage. The reorganization of the neural network is greatest following long-term sensory deprivation, such as congenital blindness or pre-lingual deafness. In these instances, cross modal plasticity can strengthen other sensory systems to compensate for the lack of vision or hearing. This strengthening is due to new connections that are formed to brain cortices that no longer receive sensory input.
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Sensory maps and brain development is a concept in neuroethology that links the development of the brain over an animal’s lifetime with the fact that there is spatial organization and pattern to an animal’s sensory processing. Sensory maps are the representations of sense organs as organized maps in the brain, and it is the fundamental organization of processing. Sensory maps are not always close to an exact topographic projection of the senses. The fact that the brain is organized into sensory maps has wide implications for processing, such as that lateral inhibition and coding for space are byproducts of mapping. The developmental process of an organism guides sensory map formation; the details are yet unknown. The development of sensory maps requires learning, long term potentiation, experience-dependent plasticity, and innate characteristics. There is significant evidence for experience-dependent development and maintenance of sensory maps, and there is growing evidence on the molecular basis, synaptic basis and computational basis of experience-dependent development.
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