Homepages of scientists studying the structure and the functioning of the nervous system.
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 theoretical neuroscience, spiking neural networks, temporal processing and dynamic coding.
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background knowledge about learning and memory (with an emphasis on associative learning) together with published and unpublished original research on the fruitfly Drosophila and the sea-slug Aplysia.
This lab at Michigan State University is researching the hormonal modulation of the developing and adult nervous system that leads to changes in behavior.
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.
The Jordan lab works on cellular and molecular mechanims underlying steroid-regulated behaviors.
Studies statistics, human neurophysiology and neuroimaging. Provides a user guide for fMRI analysis using SPM2.
The Purves laboratory is studying visual perception and its neurobiological underpinnings. Shows a lot of interactive demos of psychophysical effects and optical illusions.
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 Attwell lab at UCL studies neuron-glial interactions and the energy supply to the brain.
The Visual Neuroscience Group at Harvard studies the neurophysiology of natural visual systems in an effort to build better artificial ones
Research is on similarity metrics, statistics of natural scenes and pattern theory.
My research interests are in the area of the neurophysiology and psychophysics of vision.
Researches development and plasticity in vertebrate visual systems
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.
Analysis and engineering of neural circuit function.
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.
Research focuses on the regulation of neurotransmitter receptors, and the implications of abnormal receptor activity in neurological diseases.
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.
This lab at the Department of Neurobiology, Hebrew University, Israel is studying nerve cells and the specific networks they form.
Has done important work on regularization of neural networks. Also addresses processing long short term memory and optimal learning.
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 transmission using patch-clamp, immunocytochmistry and molecular biology approaches.
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.
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.
Studies hippocampal neurogenesis.
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 Institute 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.
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.
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.
At the Brain Research Institute at the University of California. List of publications.
Researching the mechanisms of formation of neuronal synapses and vesicular trafficking. Also provides details of publications and courses taught.
Applies virtual reality to neural rehabilitation.
Postdoct in Dr. Michael E. Goldberg's Primate Electrophysiology lab in Columbia University. Research interests include neurobiology, psychophysics, visual search and saccadic eye movement.
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.
Information includes curriculum vitae, publications, research interest description, address, and links.
Understanding how the brain learns and generates complex sequential behaviors, with a focus on the songbird as a model system.
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.
Studies neural plasticity, learning, memory, with a focus on vocal learning in songbirds.
Pam Reinagel studies how patterns of activity in populations of visual neurons encode information about visual scenes, especially naturalistic ones.
The lab investigates the cellular and molecular mechanisms used by neurons to decode synaptic and electrical activities that propagate through neural circuits.
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.
Computational neuroscience and neural coding.
The Pouget lab works on the computational neuroscience of spatial representation, visual perception, and neural coding.
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.
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.
The Shadmehr lab works on motor control and learning, robotics, brain imaging, and neurophysiology.
Richard Hahnloser is doing theory on recurrent systems and songbird physiology.
Rodney Douglas addresses information processing in the neocortex. He is the head of the institute of neuroinformatics in Zurich.
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 to study coincidence detection as well as connectivity. He uses simulation methods as well as fMRI.
Vision, audition, language, learning and memory, reward and motivation, cognition, development, sensory-motor control, mental disorders, applications.
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.
Curriculum vitae, lists of skills, publications, participations at conferences and a description of research into the development of the midbrain and hindbrain.
Research at the Institute for Neuroinformatics in Zurich, Switzerland centers on using neuromorphic design principles to make practical vision sensors.
A theoretical neurophysiologist and author of The Cerebral Code, How the Brain Thinks.
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.
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.
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