Directory of People Resources

Home > Science > Biology > Neurobiology > People

Homepages of scientists studying the structure and the functioning of the nervous system.

Subcategories

• Students and Postdocs

Resources in This Category

• Aapo Hyvarinen

  http://www.cs.helsinki.fi/u/ahyvarin/
  Involved in developing independent component analysis (ICA). Page supplies papers and code for reproducing experiments. Addresses generative model based vision and statistics of natural scenes.

• Ad Aertsen

  http://www.brainworks.uni-freiburg.de/
  This lab studies theoretical neuroscience, spiking neural networks, temporal processing and dynamic coding.

• Bjorn Brembs

  http://brembs.net/
  Features a wealth of background knowledge about learning and memory (with an emphasis on associative learning) together with published and unpublished original research on the fruitfly Drosophila and the sea-slug Aplysia.

• Breedlove Jordan Lab

  https://www.msu.edu/~breedsm/
  This lab at Michigan State University is researching the hormonal modulation of the developing and adult nervous system that leads to changes in behavior.

• Bruno Olshausen

  http://redwood.berkeley.edu/bruno
  Research at the lab concentrates on trying to understand how we organize sensory information in order to build meaningful representations of objects, sounds and surface textures in the environment.

• Cynthia L. Jordan

  http://www.msu.edu/~breedsm/cj.htm
  The Jordan lab works on cellular and molecular mechanims underlying steroid-regulated behaviors.

• Cyril Pernet

  http://www.sbirc.ed.ac.uk/cyril/
  Studies statistics, human neurophysiology and neuroimaging. Provides a user guide for fMRI analysis using SPM2.

• Dale Purves

  http://www.purveslab.net/
  The Purves laboratory is studying visual perception and its neurobiological underpinnings. Shows a lot of interactive demos of psychophysical effects and optical illusions.

• Dario Floreano

  http://lis.epfl.ch/member.php?SCIPER=111729
  Goal is to develop methods for evolving embedded intelligent systems, such as Autonomous Robots, capable of adaptation to physical environments. Interested in artificial sensory-motor systems that display life-like properties and are based upon bio-inspired mechanisms (genetics, cellular biology, neural networks, bio-morphic engineering).

• David Attwell

  http://www.ucl.ac.uk/npp/da.html
  The Attwell lab at UCL studies neuron-glial interactions and the energy supply to the brain.

• David Cox

  http://www.coxlab.org/
  The Visual Neuroscience Group at Harvard studies the neurophysiology of natural visual systems in an effort to build better artificial ones

• David Mumford

  http://www.dam.brown.edu/people/mumford/
  Research is on similarity metrics, statistics of natural scenes and pattern theory.

• David Tolhurst

  http://www.pdn.cam.ac.uk/staff/tolhurst/
  My research interests are in the area of the neurophysiology and psychophysics of vision.

• Donald Sakaguchi

  http://www.public.iastate.edu/~zoogen/saklab.html
  Researches development and plasticity in vertebrate visual systems

• Dwight Bergles

  http://www.bergleslab.com/
  The Laboratory at Johns Hopkins studies synaptic physiology, with an emphasis on glutamate transporters and glial involvement in neuronal signaling.

• Ed Adelson

  http://persci.mit.edu/people/adelson
  Ed Adelson focuses on topics in human and machine vision, including mid-level vision, lightness perception, motion analysis, perceptual organization, and image data compression.

• Ed Boyden

  http://edboyden.org/
  Analysis and engineering of neural circuit function.

• Eero Simoncelli

  http://www.cns.nyu.edu/~eero/
  The laboratory addresses a variety of basic issues in the analysis and representation of visual imagery. 1) construction of mathematical theories for the representation of visual information, 2) development of functional models for biological visual processing, and 3) creation of novel algorithms for image processing and computer vision applications.

• Elie Bienenstock

  http://www.dam.brown.edu/people/elie/page.html
  Elie Bienenstock is interested in temporal coding by individual action potentials.

• Eunice Yuen

  http://www.acsu.buffalo.edu/%7Eyeyuen/
  Research focuses on the regulation of neurotransmitter receptors, and the implications of abnormal receptor activity in neurological diseases.

• Fred Gage

  http://www-biology.ucsd.edu/faculty/gage.html
  The Gage lab works on adult neural stem cells.

• Gary Holt

  http://lnc.usc.edu/~holt/
  Our goal is to devise learning rules that can develop a feature-detector hierarchy similar to that proposed by Fukushima et al. (1983) in order to recognize objects independent of location, scale, or orientation.

• Idan Segev

  http://lobster.ls.huji.ac.il/idan/
  This lab at the Department of Neurobiology, Hebrew University, Israel is studying nerve cells and the specific networks they form.

• Jürgen Schmidhuber

  http://www.idsia.ch/~juergen/
  Has done important work on regularization of neural networks. Also addresses processing long short term memory and optimal learning.

• Jerzy Achimowicz

  http://www.angelfire.com/wa3/jachimow/
  Digital signal processing (DSP) is applied to the analysis of electro-physiological signals (such as EEG), with emphasis on human brain electrical activity. From the State Committee for Scientific Research; Warsaw, Poland.

• Jianguo Gu

  http://plaza.ufl.edu/jggjgg/
  Studies on spinal cord sensory transmission using patch-clamp, immunocytochmistry and molecular biology approaches.

• Jonas Frisen

  http://www.cmb.ki.se/research/frisen/
  The Frisen Lab at the Karolinska Institute in Sweden is studying the development of the nervous system and the continued neurogenesis from neural stem cells in the adult.

• Jörg Conradt

  http://www.ini.uzh.ch/~conradt/
  Does robotics research at institute of neuroinformatics. He is interested in novel types of robots, pattern generation, control and navigation.

• Josh Tenenbaum

  http://web.mit.edu/cocosci/josh.html
  Studies how people use statistical methods when solving cognitive problems.

• Karl Deisseroth

  http://www.stanford.edu/~deissero/
  Studies hippocampal neurogenesis.

• Klaus-Armin Nave

  http://www.nave.de/
  Prof. Dr. Nave uses transgenic mouse and molecular/cellular techniques to study neural development and the neurodegenerative pathogenesis.

• Konrad Körding

  http://www.kording.eu/
  Neuroscientist doing both experiments and theory at the Institute of Neurology, London. Specializes in Bayesian Statistics and Statistics of Natural scenes. Applications to Visual, Somatosensory, Auditory and Motor problems.

• Laurent Itti

  http://ilab.usc.edu/
  Focus in visual neuroscience, approached using computational modeling, human psychophysics and functional neuroimaging. In particular, studies on visual attention in primates.

• Lisa Topolnik

  http://www.neuronimaging.ca/
  The Neural Imaging Lab uses cellular imaging techniques in combination with electrophysiology and genetic approaches to study local biochemical signalling at excitatory synapses of different type of central neurons.

• Loesch, Dr Andrzej

  http://www.homepages.ucl.ac.uk/~ucgaanl/
  Relationship between the autonomic nervous system and the vascular system, mechanisms underlying disease in human arteries, cerebral and coronary arteries. Relevant to clinical medicine. Saphenous vein for CABG, and neurodegenerative diseases. University College London.

• Luis R. Cruz Cruz

  http://www.physics.drexel.edu/~ccruz
  Studies Alzheimers disease at the Center for Polymer Studies at Boston University.

• Luke Remage-Healey

  http://healey.bol.ucla.edu/
  At the Brain Research Institute at the University of California. List of publications.

• Lydia Danglot

  http://lydia.danglot.free.fr/
  Researching the mechanisms of formation of neuronal synapses and vesicular trafficking. Also provides details of publications and courses taught.

• Mark Dubin

  http://spot.colorado.edu/~dubin/index.html
  Applies virtual reality to neural rehabilitation.

• Matt Phillips

  http://www.columbia.edu/%7Emp2570/
  Postdoct in Dr. Michael E. Goldberg's Primate Electrophysiology lab in Columbia University. Research interests include neurobiology, psychophysics, visual search and saccadic eye movement.

• Matt Wilson

  http://mit.edu/org/w/wilsonlab/
  What are the mechanisms of learning and memory? How are actions and experiences encoded in the activity patterns of neurons in the brain? In the Wilson Lab we are addressing these questions through multineuron recording from the hippocampus and other brain areas of rats and mice during active behavior.

• Maurizio Grimaldi

  http://www.mauriziogrimaldi.net/
  Information includes curriculum vitae, publications, research interest description, address, and links.

• Michale Fee

  http://web.mit.edu/feelab/
  Understanding how the brain learns and generates complex sequential behaviors, with a focus on the songbird as a model system.

• Mikko Juusola

  http://www.shef.ac.uk/bms/research/juusola
  Studies processing in visual neurons of Drosophila as well as effects of molecular components on neural computations and sensory adaptation. Influence of rearing and environment on signalling is studied and signalling during natural stimulation is analyzed and modeled.

• Nordeen, Kathy W.

  http://www.bcs.rochester.edu/people/knordeen/knordeen.html
  Studies neural plasticity, learning, memory, with a focus on vocal learning in songbirds.

• Pam Reinagel

  http://www.biology.ucsd.edu/labs/reinagel/
  Pam Reinagel studies how patterns of activity in populations of visual neurons encode information about visual scenes, especially naturalistic ones.

• Paul De Koninck

  http://www.greenspine.ca/
  The lab investigates the cellular and molecular mechanisms used by neurons to decode synaptic and electrical activities that propagate through neural circuits.

• Peter Dayan

  http://www.gatsby.ucl.ac.uk/~dayan/
  Builds mathematical and computational models of neural processing, with a particular emphasis on representation and learning. The main focus is on reinforcement learning and unsupervised learning, covering the ways that animals come to choose appropriate actions in the face of rewards and punishments, and the ways and goals of the process by which they come to form neural representations of the world. The models are informed and constrained by neurobiological, psychological and ethological data.

• Peter Latham

  http://www.gatsby.ucl.ac.uk/~pel/
  Computational neuroscience and neural coding.

• Pouget, Alexandre

  http://www.bcs.rochester.edu/people/alex/
  The Pouget lab works on the computational neuroscience of spatial representation, visual perception, and neural coding.

• Quentin Huys

  http://www.gatsby.ucl.ac.uk/~qhuys/
  He is interested in the mechanisms that have led to neural tissue being able to control complex organisms. Photography is another artistic way of slicing the timeline and recombining it for analysis.

• Randall O'Reilly

  http://psych.colorado.edu/~oreilly/
  He develops computational and formal models of the biological bases of cognition , focusing on specialization of function in and interactions between hippocampus, prefrontal cortex, and posterior neocortex in learning, memory, attention, and controlled processing.

• Reza Shadmehr

  http://shadmehrlab.org/
  The Shadmehr lab works on motor control and learning, robotics, brain imaging, and neurophysiology.

• Richard Hahnloser

  http://hebb.mit.edu/people/rh/
  Richard Hahnloser is doing theory on recurrent systems and songbird physiology.

• Rodney Douglas

  http://www.ini.uzh.ch/~rjd/
  Rodney Douglas addresses information processing in the neocortex. He is the head of the institute of neuroinformatics in Zurich.

• Sam Roweis

  http://www.cs.nyu.edu/~roweis/
  Machine learning, nonlinear manifolds, signal processing, DNA computing.

• Sami Ikonen

  http://www.uku.fi/neuro/54the.htm
  The role of the septohippocampal cholinergic system in cognitive functions - a doctoral thesis.

• Sander Bohte

  http://www.cwi.nl/~sbohte/
  Neuroscientist in Amsterdam related to coding by action potentials as well as pattern recognition.

• Shawn Mikula

  http://brainmeta.com/index.php?q=mikula
  Does experiments to study coincidence detection as well as connectivity. He uses simulation methods as well as fMRI.

• Stephen Grossberg

  http://cns-web.bu.edu/Profiles/Grossberg.html
  Vision, audition, language, learning and memory, reward and motivation, cognition, development, sensory-motor control, mental disorders, applications.

• Sue Becker

  http://www.science.mcmaster.ca/Psychology/sb.html
  Computational neuroscience, neural network models of perceptual and cognitive processes including cortical and hippocampal memory systems, spatial memory, semantic memory organization, frontal executive control of memory.

• Theo Geisel

  http://www.chaos.gwdg.de/theo/
  Nonlinear dynamics, chaotic systems, neural networks

• Thomas J. Anastasio

  http://tja.beckman.illinois.edu/
  Our goal is to gain deeper insight into multisensory integration and motor learning using computational neuroscience methodology.

• Thorsten Naserke

  http://www.tnase.net/
  Curriculum vitae, lists of skills, publications, participations at conferences and a description of research into the development of the midbrain and hindbrain.

• Tobi Delbruck

  http://www.ini.uzh.ch/~tobi/
  Research at the Institute for Neuroinformatics in Zurich, Switzerland centers on using neuromorphic design principles to make practical vision sensors.

• William H. Calvin

  http://faculty.washington.edu/wcalvin/
  A theoretical neurophysiologist and author of The Cerebral Code, How the Brain Thinks.

• Women in Neuroscience Biographies

  http://faculty.washington.edu/chudler/win.html
  Women who are contributing to our knowledge of neuroscience today including Ellen Kuwana, Frances Mary Ashcroft, Leslie P. Tolbert, Rae Nishi, Christine H. Block and Rosamund Langston.

• Yang Dan

  http://mcb.berkeley.edu/faculty/NEU/dany.html
  Goal is to understand the structure, function and plasticity of the mammalian visual system. Uses a combination of electrophysiological, psychophysical, and computational techniques to analyze how visual information is coded in the spiking activity of neurons in the visual cortex.

• Yasir el Sherif

  http://www.angelfire.com/yt/yas709neuroscience/
  Information on ATP, melatonin, 8-OH-DPA, and magnetic fields in the nervous system.

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