Videos by Workshop 6: Sensory Systems and Coding
Mechanisms and functions of human neocortical rhythms in sensory perception
Low frequency neocortical rhythms are among the most prominent activity measured in human brain imaging signals such as electro- and magneto-encephalography (EEG/MEG). Elucidating the role that these dynamics play in perception, cognition and action is a key challenge of modern neuroscience. We have recently combined human brain imaging, computational neural model...
Mechanisms for higher-order correlations in microcircuits
Andrea BarreiroMechanisms for higher-order correlations in microcircuits....
Sensory prediction in the natural world
Stephanie PalmerSensory prediction in the natural world...
Whisker shape changes induced by touch
David GolombWe study why whiskers of land mammals are approximately conical by considering a tapered whisker under contact with an object. We convert the Euler-Bernoulli quasi-static equation into a boundary-value equation and analyze it using dynamical system theory. The equation has two solutions, one stable and one unstable, that coalesce in a saddle-node bifurcation. Beyond the bi...
Optimality and neural codes: Bayesian inference meets Barlow's efficient coding hypothesis
Barlow's "efficient coding hypothesis" asserts that neurons should maximize the information they convey about stimuli. This idea has provided a guiding theoretical framework for the study of coding in neural systems, and has sparked a great many studies of decorrelation and efficiency in early sensory areas. A more recent theory, the "Bayesian ...
Neurogenesis allows olfactory bulb to learn to decorrelate stimuli
Hermann RieckeThe olfactory bulb exhibits substantial turn-over of the dominant interneuron population, even in adult animals. It is observed that with neurogenesis suppressed the animals' capacity for perceptual learning is impaired. We have developed a simple network model in which the connectivity adapts to the odor environment through the experimentally observed dependence of t...
Neural Information Processing Underlying Collision Avoidance Behaviors
Understanding how the brain processes sensory information in real-time to generate meaningful behaviors is one of the outstanding contemporary challenges of neuroscience. Visually guided collision avoidance behaviors are nearly universal in animals endowed with spatial vision and offer a favorable opportunity to address this question. This talk will summarize the ...
Measuring and interpreting correlated neuronal responses
Populations of neurons jointly drive behavior. Thus, understanding how population activity is coordinated is a key challenge. Novel recording techniques allow for the simultaneous recording from many cells revealing the joint activity of neuronal population during sensory, motor, and cognitive tasks. This has prompted widespread measurement of pairwise correlation...
Interactions of sensor structure, and environmental and locomotory context determine odor plume tracking behavior.
Mark WillisInteractions of sensor structure, and environmental and locomotory context determine odor plume tracking behavior....
Coordination of visual processing in cortex by network activity during natural viewing
In addition to visual information from thalamus, neurons in primary visual cortex (V1) receive inputs from other V1 neurons, as well as from higher cortical areas. This ‚€œnon-classical‚€? input to V1 neurons, which can be inferred in part from the local field potential, can modulate the ‚€œclassical‚€? feed-...
Neuronal Substrates of Temporal Prediction in Active Sensing
Neuronal oscillations reflecting synchronous, rhythmic fluctuation of neuron ensembles between high and low excitability states, dominate ambient activity in the sensory pathways. Because excitability determines the probability that neurons will respond to input, a top-down process like attention can use oscillations as "instruments" to amplify or suppre...
Principles of Biological Design
Stephen BaccusPrinciples of Biological Design...
Neural population dynamics during sensory and memory processing
Remus OsanThe size and complexity of neural data is increasing at a dramatic pace due to rapid advances in experimental technologies. As a result, the data analysis techniques are shifting their focus from single-units to neural populations. We use projection methods, such as Principal Component Analysis PCA and Multiple Discriminant Analysis MDA, to facilitate the understanding and...