- Aapo Hyvarinen
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.
http://www.cis.hut.fi/~aapo/
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Review It - Björn Brembs
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background knowledge about learning and memory (with an emphasis on associative learning) together with published and unpublished original research on the fruitfly Drosophila and (soon) the sea-slug Aplysia.
http://brembs.net/
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Review It - Christoph Kayser
The lab studies the statistical regularities of natural scenes, how they relate to the response properties of cortical cells and quantifies the impact of global stimulus structure on visual cortical activity.
http://www.ini.unizh.ch/~kayser/
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Review It - Cynthia F. Moss
Studies on bat behaviour, physiology and modelling studies. The aim is to advance our understanding of how sensory information is processed, organized, and integrated with motor programs to permit perceptually-guided behavior. Lab Director Prof. Cynthia Moss PhD.
http://www.bsos.umd.edu/psyc/batlab/
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Review It - Dale Purves
the Purves laboratory is studying visual perception and its neurobiological underpinnings. Shows a lot of interactive demos of psychophysical effects and optical illusions.
http://www.purveslab.net
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Review It - Dario Floreano
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).
http://asl.epfl.ch/member.php?SCIPER=111729
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Review It - David Fitzpatrick
The Laboratory at Duke University Medical Center is focused on understanding the functional organization of circuits in primary visual cortex, an important component in processing visual information.
http://www.fitzpatricklab.net
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Review It - Eero Simoncelli
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.
http://www.cns.nyu.edu/~eero/
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Review It - Gary 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.
http://lnc.usc.edu/~holt/
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Review It - Gaute Einevoll
My present research activity is within biological physics where I focus on mathematical modeling of neural systems. The goal is to increase the understanding of how the behavior of biological systems is determined by the collective behavior of many cells.
http://arken.nlh.no/~itfgev/index_english.html
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Review It - Geoffrey Boynton
We are interested in the neural correlates of human visual perception. We make use of a relatively new technique for measuring brain responses in humans called Functional Magnetic Resonance Imaging or fMRI.
http://www.cnl.salk.edu/~boynton/
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Review It - Hans van Hateren
I am working on several aspects of visual processing. My current main interest is to use the statistics of natural stimuli (images, time series of intensities, video) for investigating and understanding the visual system.
http://hlab.phys.rug.nl/
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Review It - Jerzy Achimowicz
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.
http://www.angelfire.com/wa/jachimow/
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Review It - John W. Moore
This lab studies a simple form of associative learning - classical eyeblink conditioning in rabbits - using a variety of approaches: behavioral, computational, and neurophysiological. Recent work has focused on neuronal activity of the cerebellum during complex training procedures.
http://moorelab.sbs.umass.edu/
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Review It - Ken Miller
My lab's interests focus on understanding the cerebral cortex. We use theoretical and computational methods, and theoretically motivated experimental methods, to unravel the circuitry of the cerebral cortex, the rules by which this circuitry develops or "self-organizes", and the computational functions of this circuitry.
http://phy.ucsf.edu/~ken/
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Review It - Klaus Obermayer
The NI group focuses on computational models of neuronal systems, on the mathematical analysis of neural networks, and on the development of ANN algorithms, in particular for image processing applications.
http://ni.cs.tu-berlin.de/
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Review It - Konrad Körding
Neuroscientist doing both experiments and theory at the Instistute of Neurology, London. Specializes in Bayesian Statistics and Statistics of Natural scenes. Applications to Visual, Somatosensory, Auditory and Motor problems.
http://www.koerding.com
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Review It - Laurent Itti
Focus in visual neuroscience, approached using computational modeling, human psychophysics and functional neuroimaging. In particular, studies on visual attention in primates.
http://iLab.usc.edu/
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Review It - Loesch, Dr Andrzej
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.
http://www.homepages.ucl.ac.uk/~ucgaanl/
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Review It - Maneesh Sahani
My research focuses on the statistical analysis of neural data and the design of experiments in neuroscience. The richness and density of information obtained from neural experiments is probably unrivalled in the history of experimental science. As such, new and creative methods are needed to collect sensible data and extract meaning from them.
http://www.gatsby.ucl.ac.uk/~maneesh/
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Review It - Marc Breedlove, Cynthia Jordan
The lab studies hormonal modulation of the developing and adult nervous system that leads to changes in behavior. Using a range of rodent species, the lab tries to understand which cells directly respond to the hormone, which genes are regulated in those cells, and how the structure and function of the cell changes as a consequence of that gene regulation
http://www.msu.edu/~breedsm
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Review It - Matt Wilson
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.
http://web.mit.edu/jelevin/www/
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Review It - Pam Reinagel
Pam Reinagel studies how patterns of activity in populations of visual neurons encode information about visual scenes. She is particularly interested in how neural codes are adapted to encode dynamic, natural stimuli efficiently. She applies Information Theory to spike trains of neurons.
http://www.klab.caltech.edu/~pam/homepage.html
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Review It - Peter 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.
http://www.gatsby.ucl.ac.uk/~dayan/
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Review It - Peter König
Experimental and theoretical studies of sensory processing and sensory motor integration in the mammalian cortex under natural conditions.Thus, I investigate the role of top-down signals, their relation to the fast dynamics, learning and plasticity in the neuronal network. Insights obtained from this work are transferred to real-world applications.
http://www.ini.unizh.ch/~peterk/
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Review It - Quentin Huys
Who are we? I am 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.
http://www.gatsby.ucl.ac.uk/~qhuys/
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Review It - Rajesh Rao
The primary goal of my research is to discover the computational principles underlying the brain's remarkable ability to learn, process and store information, and to apply this knowledge to the task of building adaptive robotic systems and artificially intelligent agents.
http://www.cnl.salk.edu/~rao/
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Review It - Randall O'Reilly
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.
http://psych.colorado.edu/~oreilly/
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Review It - Roland Baddeley
He is interested in many things including neural network techniques, the statistics of naturally generated spike trains in V1 and IT and the implications for coding, eye movements, stereo interactions in V1, timing behaviour, reading in young children, and the statistics of natural images.
http://www.biols.susx.ac.uk/home/Roland_Baddeley/
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