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.

This lab studies the role of cortical and sub-cortical structures in learning, memory and attention.

Theoretical Neuroscientist, interested in spiking neural networks, temporal processing and dynamic coding

Addresses neural and biochemical networks to enable a description of brain processes at different levels of resolution. These networks provide a framework for functional neuroimaging research.

Lab analyzes how the nervous system mediates behavior, especially complex behaviors that must be learned. Birdsong is the model system used for these studies.

Neuroscientist using imaging methods to understand information processing in the human brain.

known for the "binding by synchrony" hypothesis. Interested in temporal processing in particular at 40Hz. This lab does electrophysiology driven by computational ideas.

Addresses Signal Processing and Coding in the Brain. Functional Role of Neural Oscillations and Rapid Synchronization , Model Systems with Spiking Neurons: Dynamics and Computation

Works on the basal ganglia, including systems-level, molecular, and clinically relevant studies.

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background knowledge about learning and memory (with an emphasis on associative learning) together with published and unpublished original research on the fruitfly Drosophila and (soon) the sea-slug Aplysia.

The lab relates the function of the nervous system to the statistics of natural scenes. On his page he supplies scientific papers and software relating sparse coding.

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.

Researching the development and function of the cerebral cortex and the genes involved in this process. From the Harvard Institutes of Medicine.

The Laboratory at Columbia University performs neurobiology research on dopamine receptors.

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.

the Purves laboratory is studying visual perception and its neurobiological underpinnings. Shows a lot of interactive demos of psychophysical effects and optical illusions.

The Madison lab works on neural plasticity, LTP and LTD, in the hippocampus.

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).

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.

The Linden lab studies how different plasticity mechanisms operate in the cerebellum.

David Mumford is working on similarity metrics and on statistics of natural scenes. He links the properties of the real world to propertie of neurons in the nervous system.

A physiologist studying computational and experimental neuroscience problems.

My research interests are in the area of the neurophysiology and psychophysics of vision.

Research on stroke, anesthesiology, and out-of-hospital emergency medicine.

Interested in developmental pattern generation or ways of describing coupled networks of genes and neurons.

Neurosurgeon and neuroscience researcher. Contains publications and CV.

The Laboratory at Johns Hopkins studies synaptic physiology, with an emphasis on glutamate transporters and glial involvement in neuronal signaling.

Ed Adelson focuses on topics in human and machine vision, including mid-level vision, lightness perception, motion analysis, perceptual organization, and image data compression.

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 is interested in temporal coding by individual action potentials.

Working at the Institute of Cybernetics of CNR. Included CV, list of publications and the projects related to parallel computer simulation of neurotransmitter difusion and neural network.

electrophysiolgy on slices and pharmacology

The Gage lab works on adult neural stem cells.

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.

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.

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.

Motivational psychology from an engineering perspective with biological contraints. Behavioral modeling. Resonance Raman spectroscopy of neurotransmitters. Artificial neural networks.

addresses the origins of the BOLD signal measured when applying fMRI. He is also interested in temporal codes.

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.

Describes the current research in the laboratory and contains information about Dr. Huda Zoghbi, publication references, lab protocols, more about members of the lab.

Has done important work on regularization of neural networks. Also addresses processing long short term memory and optimal learning.

This laboratory studies the neural basis of vision and visual perception, with particular emphasis on object vision, and visual selective attention.

The Raymond lab does research on the mechanisms of motor learning in a simple cerebellar task.

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.

Studies on spinal cord sensory tranmission using patch-clamp, immunocytochmistry and molecular biology approaches.

Research laboratory studying molecular organization of neuronal signaling proteins.

Mathematical modelling in neurobiology, Neural computation and neural bases of behaviour, High energy physics and superstrings, quantum field theory and quantum gravity.

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.

Department of Cell and Molecular Biology. Studies on the development of the nervous system and the continued neurogenesis from neural stem cells in the adult.

Does robotics research at institute of neuroinformatics. He is interested in novel types of robots, pattern generation, control and navigation.

Studies how people use statistical methods when solving cognitive problems.

Research on low power laser irradiation, spinal cord injury research and diabetes. Uniformed Services University of the Health Sciences, Department of Anatomy and Cell Biology.

Karel Svoboda is addressing the functioning of the nervous system using two photon microscopy. His page summarizes the research goal of understanding network function from an understanding of the nerve cells properties.

Behavioural experiments on flying bats. Beam patterns. Neural models.

The group studies locomotion at the University of St Andrews, Scotland. Studies on the development and intrinsic mechanisms behind the neural control of vertebrate locomotion.

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.

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.

does theoretical neuroscience tightly bound to electrophysiological measurements.

Prof. Dr. Nave uses transgenic mouse and molecular/cellular techniques to study neural development and the neurodegenerative pathogenesis.

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.

Focus in visual neuroscience, approached using computational modeling, human psychophysics and functional neuroimaging. In particular, studies on visual attention in primates.

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.

studies Alzheimers disease at the Center for Polymer Studies at Boston University

Investigating the neuroendocrine mechanisms of behavior, using vocalizing fish and social bird models.

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.

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

The lab uses methods for large-scale neuronal ensemble recording to study neuronal processing in multiple parts of the nervous system simultaneously.

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.

My research interests focus on the roll of dendritic processing in networks of cortical neurons.

Information includes curriculum vitae, publications, research interest description, address, and links.

The Mauk lab works on how timed information is encoded in the cerebellum.

Scientist working on nonassosiative and associative learning phenomena.

Understanding how the brain learns and generates complex sequential behaviors, with a focus on the songbird as a model system.

Processing in Drosophila visual neurons. Effects of molecular components on neural computations and sensory adaptation. Influence of rearing and environment on signalling. Modelling and analysis of signalling during natural stimulation.

Studies synaptic structure, function, and plasticity.

The nature of drug addiction is studied. Experiments on Rats clarify how drugs such as eccstasy work.

Neural Computation, High Dimensional Statistics and Pattern Recognition, Computer Vision, Visual Cortex Plasticity, Time series prediction

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.

Patrick Hoyer works on ICA (independent component analysis) and nonlinear variants thereof.

The lab investigates the cellular and molecular mechanisms used by neurons to decode synaptic and electrical activities that propagate through neural circuits.

His group is studying gene expression in psychiatric disorders in the University of Oxford Department of Psychiatry.

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.

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.

From the Center for Neurologic Diseases and Laboratory for Drug Discovery in Neurodegeneration at Brigham and Women's Hospital, Harvard Medical School.

neuroscientists interested in neural coding

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.

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.

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.

Richard Hahnloser is doing theory on recurrent systems and songbird physiology.

The Tsien lab does research on synaptic transmission, signal transduction, and pathophysiology of calcium channels.

Research on ischemic injuries in the neonatal brain.

Rodney Douglas addresses information processing in the neocortex. He is the head of the institute of neuroinformatics in Zurich.

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.

Information on the lab, the team, on projects, methods and spiny lobsters.

The Stoop group works on statistical neural networks, biological complexity, self-organized clustering and perception, and hearing biophysics.

The laboratory of Dr. Ruth Herbst focuses on the formation of the neuromuscular synapse. Specific topics and research areas are described.

Studies the effect of steroid hormones on the developing and adult nervous system, including the sexual differentiation of the developing brain and spinal cord, as well as the activation of plasticity in the adult nervous system.

Machine Learning , Nonlinear Manifolds , Signal Processing , DNA Computing

The role of the septohippocampal cholinergic system in cognitive functions - a doctoral thesis.

Neuroscientist in Amsterdam related to coding by action potentials as well as pattern recognition.

does experiments and theories to study coincidence detection as well as connectivity. He uses simulation methods as well as fMRI.

Simon Laughlin addresses optimal coding, the cost of action potentials and more generally relates the properties of nervous systems to ethological optimisation and constraints

Vision, audition, language, learning and memory, reward and motivation, cognition, development, sensory-motor control, mental disorders, applications.

Fear, conditioned learning behavior, and the neurophysiology of the amygdala. Research summaries, related links. Rat behavior animation.

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.

Nonlinear dynamics, chaotic systems, neural networks

Our goal is to gain deeper insight into multisensory integration and motor learning using computational neuroscience methodology.

At a cocktail party we can selectively attend to a single voice, effortlessly filtering out all the others that make up the banter that surrounds us; yet this task remains far beyond the capabilities of our most sophisticated computers. How do the neurons in our brains conspire to form such powerful computational engines?

Working at the Institute of Cybernetic of CNR. Included current working projects mainly related to the himmunohystochemistry of hippocampal piramidal cells; the effect of maternal drug abuse on neonatal rodents.

is interested in Artificial Intelligence, Neural Networks, (humanoid) Robotics, Psychology

The projects carried out at the Institute of Cybernetics, CV and list of publications mainly related to neurocomputation and visual perception of geometrical figures.

Overview of the research in our lab at the University of Constance, Germany, covering research in invertebrate neuroscience.

A theoretical neurophysiologist and author of The Cerebral Code, How the Brain Thinks.

Biomedical optics, two-photon microscopy, and imaging of neuronal activity.

Face recognition, Invariances in learning and vision.

Neuroscientist at the institute of neuroinformatics. He does psychophysics and neural modeling.

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.

Information on ATP, melatonin, 8-OH-DPA, and magnetic fields in the nervous system.

Cell-cell interactions are studied that control neuronal migration, identify extracellular molecular cues that guide the direction of neuronal migration, and investigate intracellular signal transduction mechanisms that mediate cellular responses to extracellular cues.

Laboratory (P.I. - Dr. John Lu) that focuses on mechanisms of hearing in fish, including directional and ultrasonic hearing, and neurotoxin effects on hearing.