Misha Tsodyks

Last updated
Misha Tsodyks
NationalityRussian
Alma mater Moscow Institute of Physics and Technology,
Landau Institute for Theoretical Physics
Known for Synaptic plasticity,
Attractor neural networks,
place-related activity in Hippocampus,
population activity and functional architecture in the primary visual cortex
Awards Mathematical Neuroscience Prize
Morris L. Levinson Biology Prize
Scientific career
FieldsTheoretical Neuroscience
Institutions Weizmann Institute of Science,
Institute for Advanced Study

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. [1]

Contents

As of 2019, Tsodyks is the C.V. Starr Professor at the Institute for Advanced Study in New Jersey. He also teaches at the Weizmann Institute of Science and serves as the Chief Editor of Frontiers of Computational Neuroscience. [2]

Tsodyks has received numerous awards for his work in the field including the Mathematical Neuroscience Prize, the Morris L. Levinson Biology Prize, membership of the Society for Neuroscience, and membership of the editorial board of various scientific journals.

Biography

Tsodyks received his Masters from the Moscow Institute of Physics and Technology in 1983 and his doctorate from the Landau Institute for Theoretical Physics. He went on to work as a research scientist at various high profile institutions, including the Institute of Higher Nervous Activity and Neurophysiology at the USSR Academy of Science in 1987, the Racah Institute of Physics at the Hebrew University of Jerusalem in 1990, the Howard Hughes Medical Institute and the Salk Institute for Biological Studies in 1994. [3]

He eventually assumed a position as senior investigator at the Weizmann Institute of Science in 1995, which resulted in his becoming an associate professor in 2000, a full professor of theoretical and computational neuroscience in 2005, and a department head in 2006.

In addition to his work at the Weizmann Institute, Tsodyks served as an adjunct professor at Columbia University from 2010 to 2015, at which point he became a visiting professor. As of 2019, he is the C.V. Starr Professor of Theoretical Neuroscience at the Institute for Advanced Study. [4]

Tsodyks has also assumed a number of influential positions at various scientific journals. He was a member of the editorial board of Neural Networks (journal) from 1999 to 2007, the Hippocampus (journal) from 1999 to 2003, and joined the editorial board of the Journal of Computational Neuroscience in 2000. He was named Chief Editor of Frontiers of Computational Neuroscience in 2007. [5]

Select publications

Misha Tsodyks has an extensive publication record. A selection of works is listed below:

Bibliography

Notable honors

Related Research Articles

<span class="mw-page-title-main">Neuroscience</span> Scientific study of the nervous system

Neuroscience is the scientific study of the nervous system, its functions and disorders. It is a multidisciplinary science that combines physiology, anatomy, molecular biology, developmental biology, cytology, psychology, physics, computer science, chemistry, medicine, statistics, and mathematical modeling to understand the fundamental and emergent properties of neurons, glia and neural circuits. The understanding of the biological basis of learning, memory, behavior, perception, and consciousness has been described by Eric Kandel as the "epic challenge" of the biological sciences.

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.

Spike-timing-dependent plasticity (STDP) is a biological process that adjusts the strength of connections between neurons in the brain. The process adjusts the connection strengths based on the relative timing of a particular neuron's output and input action potentials. The STDP process partially explains the activity-dependent development of nervous systems, especially with regard to long-term potentiation and long-term depression.

<span class="mw-page-title-main">Cortical minicolumn</span>

A cortical minicolumn (also called cortical microcolumn) is a vertical column through the cortical layers of the brain. Neurons within the microcolumn "receive common inputs, have common outputs, are interconnected, and may well constitute a fundamental computational unit of the cerebral cortex". Minicolumns comprise perhaps 80–120 neurons, except in the primate primary visual cortex (V1), where there are typically more than twice the number. There are about 2×108 minicolumns in humans. From calculations, the diameter of a minicolumn is about 28–40 μm. Minicolumns grow from progenitor cells within the embryo and contain neurons within multiple layers (2–6) of the cortex.

<span class="mw-page-title-main">Cortical column</span> Group of neurons in the cortex of the brain

A cortical column is a group of neurons forming a cylindrical structure through the cerebral cortex of the brain perpendicular to the cortical surface. The structure was first identified by Mountcastle in 1957. He later identified minicolumns as the basic units of the neocortex which were arranged into columns. Each contains the same types of neurons, connectivity, and firing properties. Columns are also called hypercolumn, macrocolumn, functional column or sometimes cortical module. Neurons within a minicolumn (microcolumn) encode similar features, whereas a hypercolumn "denotes a unit containing a full set of values for any given set of receptive field parameters". A cortical module is defined as either synonymous with a hypercolumn (Mountcastle) or as a tissue block of multiple overlapping hypercolumns.

<span class="mw-page-title-main">Interneuron</span> Neurons that are not motor or sensory

Interneurons are neurons that connect to brain regions, i.e. not direct motor neurons or sensory neurons. Interneurons are the central nodes of neural circuits, enabling communication between sensory or motor neurons and the central nervous system (CNS). They play vital roles in reflexes, neuronal oscillations, and neurogenesis in the adult mammalian brain.

Neuroinformatics is the field that combines informatics and neuroscience. Neuroinformatics is related with neuroscience data and information processing by artificial neural networks. There are three main directions where neuroinformatics has to be applied:

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Rishikesh Narayanan is an Indian neuroscientist, computer engineer and a professor at the Molecular Biophysics Unit (MBU) of the Indian Institute of Science. He is the principal investigator at the Cellular Neurophysiology Laboratory of MBU where his team is engaged in researches on experimental and theoretical aspects of information processing in single neurons and their networks. The Council of Scientific and Industrial Research, the apex agency of the Government of India for scientific research, awarded him the Shanti Swarup Bhatnagar Prize for Science and Technology, one of the highest Indian science awards, in 2016, for his contributions to biological sciences.

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Tim P. Vogels is a professor of theoretical neuroscience and research leader at the Institute of Science and Technology Austria. He is primarily known for his scholarly contributions to the study of neuronal plasticity related to learning and memory in the brain.

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<span class="mw-page-title-main">Wulfram Gerstner</span> German neuroscientist

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References

  1. "Theoretical Neuroscientist Misha Tsodyks Joins Faculty of the Institute for Advanced Study | IAS". ias.edu. 18 June 2019. Retrieved 2020-01-27.
  2. "Misha Tsodyks IAS Profile |". ias.edu. 9 December 2019. Retrieved 2020-01-26.
  3. "Misha Tsodyks | Faculty 1000". f1000.com. Retrieved 2020-01-27.
  4. "Misha Tsodyks | Frontiers". frontiersin.org. Retrieved 2020-01-27.
  5. "Misha Tsodyks IAS Profile |". ias.edu. 9 December 2019. Retrieved 2020-01-26.