- 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.
- Addresses Signal Processing and Coding in the Brain. Functional Role of Neural Oscillations and Rapid Synchronization , Model Systems with Spiking Neurons: Dynamics and Computation
- 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background knowledge about learning and memory (with an emphasis on associative learning) together with published and unpublished original research on the fruitfly Drosophila and (soon) the sea-slug Aplysia.
- Advancing our understanding of how sensory information is processed, organized, and integrated with motor programs, with a focus on bat auditory processing.
- 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 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.
- 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.
- 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.
- Working at the Institute of Cybernetics of CNR. Working on projects related to parallel computer simulation of neurotransmitter difusion and neural network.
- 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.
- Motivational psychology from an engineering perspective with biological contraints. Behavioral modeling. Resonance Raman spectroscopy of neurotransmitters. Artificial neural networks.
- Research programs and members of the laboratory of Prof. Mike Gutnick and Dr. Ilya Fleidervish in the Koret School of Veterinary Medicine, The Hebrew University, Rehovot, Israel
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Kristina provides her CV and publications and provides links to some spectacular demonstrations of different concepts in science with an emphasis on neuroscience.
- 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.
- 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.
- 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.
- The lab investigates the cellular and molecular mechanisms used by neurons to decode synaptic and electrical activities that propagate through neural circuits.
- The Glimcher lab studies the neural mechanisms underlying choice behavior using a combination of electrophysiological, behavioral, and neuroimaging techniques.
- 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.
- 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.
- 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.
- 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.
- Simon Laughlin addresses optimal coding, the cost of action potentials and more generally relates the properties of nervous systems to ethological optimisation and constraints
- 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.
- 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.
- 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.
- Laboratory (P.I. - Dr. John Lu) that focuses on mechanisms of hearing in fish, including directional and ultrasonic hearing, and neurotoxin effects on hearing.
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