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Animal behaviour arises from computations in neuronal circuits, but our understanding of these computations has been frustrated by the lack of detailed synaptic connection maps, or connectomes. For example, despite intensive investigations over half a century, the neuronal implementation of local motion detection in the insect visual system remains elusive.(More)
We reconstructed the synaptic circuits of seven columns in the second neuropil or medulla behind the fly's compound eye. These neurons embody some of the most stereotyped circuits in one of the most miniaturized of animal brains. The reconstructions allow us, for the first time to our knowledge, to study variations between circuits in the medulla's(More)
The aim in high-resolution connectomics is to reconstruct complete neuronal connectivity in a tissue. Currently, the only technology capable of resolving the smallest neuronal processes is electron microscopy (EM). Thus, a common approach to network reconstruction is to perform (error-prone) automatic segmentation of EM images, followed by manual(More)
A backpropagation neural network has been applied to the problem of segmentation of the aorta from MRI images. In order to achieve translationally invariant classification the network's input units are loaded from a small receptive field which is moved across the images in a uniformly random manner. Three-dimensional graphic analysis of the input space and(More)
Understanding memory formation, storage and retrieval requires knowledge of the underlying neuronal circuits. In Drosophila, the mushroom body (MB) is the major site of associative learning. We reconstructed the morphologies and synaptic connections of all 983 neurons within the three functional units, or compartments, that compose the adult MB's α lobe,(More)
are now working to expand the capabilities of the system in several ways. We intend to integrate localization equipment in the operating room in order to use the system as a navigation aid during surgery. The high performance networking infrastructure already in place supports moving a completed planning session to a second machine in the operating room for(More)
The promise of extracting connectomes and performing useful analysis on large electron microscopy (EM) datasets has been an elusive dream for many years. Tracing in even the smallest portions of neuropil requires copious human annotation, the rate-limiting step for generating a connectome. While a combination of improved imaging and automatic segmentation(More)
We describe an algorithm for segmentation of 3D nagnetic resonance images into major neuroanatomical tructures with minimal requirement for user interaction. ~his technique incorporates a priori knowledge of ¯ olumes and surfaces present in the head, but permits xtensive deviation from these assumptions to ccommodate the wide morphological variability seen(More)
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