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Neural correlations, population coding and computation
How the brain encodes information in population activity, and how it combines and manipulates that activity as it carries out computations, are questions that lie at the heart of systemsExpand
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Bayesian inference with probabilistic population codes
Recent psychophysical experiments indicate that humans perform near-optimal Bayesian inference in a wide variety of tasks, ranging from cue integration to decision making to motor control. ThisExpand
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The Bayesian brain: the role of uncertainty in neural coding and computation
To use sensory information efficiently to make judgments and guide action in the world, the brain must represent and use information about uncertainty in its computations for perception and action.Expand
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Spatial Transformations in the Parietal Cortex Using Basis Functions
Sensorimotor transformations are nonlinear mappings of sensory inputs to motor responses. We explore here the possibility that the responses of single neurons in the parietal cortex serve as basisExpand
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Probabilistic Population Codes for Bayesian Decision Making
When making a decision, one must first accumulate evidence, often over time, and then select the appropriate action. Here, we present a neural model of decision making that can perform both evidenceExpand
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The Cost of Accumulating Evidence in Perceptual Decision Making
Decision making often involves the accumulation of information over time, but acquiring information typically comes at a cost. Little is known about the cost incurred by animals and humans forExpand
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Reference frames for representing visual and tactile locations in parietal cortex
The ventral intraparietal area (VIP) receives converging inputs from visual, somatosensory, auditory and vestibular systems that use diverse reference frames to encode sensory information. A keyExpand
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A computational perspective on the neural basis of multisensory spatial representations
We argue that current theories of multisensory representations are inconsistent with the existence of a large proportion of multimodal neurons with gain fields and partially shifting receptiveExpand
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Reading population codes: a neural implementation of ideal observers
Many sensory and motor variables are encoded in the nervous system by the activities of large populations of neurons with bell-shaped tuning curves. Extracting information from these population codesExpand
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Bayesian brain : probabilistic approaches to neural coding
A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge andExpand
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