Searching for authors named "Sophie Deneve" – sorted by Relevance.
7 documents found, showing 1 through 7.
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Bayesian inference in spiking neurons
- …We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to other neurons their certainties about these events. In this model, spikes signal the occurrence of new information, i.e. wha…
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Neural Basis of Object-Centered Representations
- …We present a neural model that can perform eye movements to a particular side of an object regardless of the position and orientation of the object in space, a generalization of a task which has been recently used by Olson and Gettner [4] to investigate the neural structure of object-centered repres…
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Heeger's Normalization, Line Attractor Networks and Ideal Observers
- …Gain control by divisive inhibition, a.k.a. Heeger's normalization, seems to be a general mechanism throughout the visual cortex. We explore in this study the statistical properties of this normalization in the presence of noise. Using simulations, we show that Heeger's normalization is a close appr…
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Divisive Normalization, Line Attractor Networks and Ideal Observers
- …Gain control by divisive inhibition, a.k.a. divisive normalization, has been proposed to be a general mechanism throughout the visual cortex. We explore in this study the statistical properties of this normalization in the presence of noise. Using simulations, we show that divisive normalization is …
- Cited by 5 (0 self) – Add To MetaCart
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Statistically Efficient Estimation Using Population Coding
- …Coarse codes are widely used throughout the brain to encode sensory and motor variables . Methods designed to interpret these codes , such as population vector analysis, are either inef…
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Narrow Vs Wide Tuning Curves: What's Best for a Population Code?
- …Neurophysiologists are often faced with the problem of evaluating the quality of a code for a sensory or motor variable, either to relate it to the performance of the animal in a simple discrimination task, or to compare the codes at various stages along the neuronal pathway. One common belief t…
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Abstract Optimal computation with attractor networks
- …We investigate the ability of multi-dimensional attractor networks to perform reliable computations with noisy population codes. We show that such networks can perform computations as reliably as possible––meaning they can reach the Cramer-Rao bound–– so long as the noise is small enough. ‘‘Small en…
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Showing 1 through 7.
