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1
October 2013
BHI 2013: Proceedings of the International Conference on Brain and Health Informatics - Volume 8211
Publisher: Springer-Verlag New York, Inc.
The human brain and the neuronal networks comprising it are of immense interest to the scientific community. In this work, we focus on the structural connectivity of human brains, investigating sex differences across male and female connectomes (brain-graphs) for the knowledge discovery problem " Which brain regions exert differences in ...
Keywords:
sex classification, graph measures, network connectivity, pars orbitalis, human connectome, network science
2
Randal Burns,
Kunal Lillaney,
Daniel R. Berger,
Logan Grosenick,
Karl Deisseroth,
R. Clay Reid,
William Gray Roncal,
Priya Manavalan,
Davi D. Bock,
Narayanan Kasthuri,
Michael Kazhdan,
Stephen J. Smith,
Dean Kleissas,
Eric Perlman,
Kwanghun Chung,
Nicholas C. Weiler,
Jeff Lichtman,
Alexander S. Szalay,
Joshua T. Vogelstein,
R. Jacob Vogelstein
July 2013
SSDBM: Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4, Downloads (12 Months): 41, Downloads (Overall): 250
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We describe a scalable database cluster for the spatial analysis and annotation of high-throughput brain imaging data, initially for 3-d electron microscopy image stacks, but for time-series and multi-channel data as well. The system was designed primarily for workloads that build connectomes ---neural connectivity maps of the brain---using the parallel ...
Keywords:
connectomics, data-intensive computing
3
July 2013
IEEE Transactions on Pattern Analysis and Machine Intelligence: Volume 35 Issue 7, July 2013
Publisher: IEEE Computer Society
This manuscript considers the following “graph classification” question: Given a collection of graphs and associated classes, how can one predict the class of a newly observed graph? To address this question, we propose a statistical model for graph/class pairs. This model naturally leads to a set of estimators to identify ...
Keywords:
Pattern analysis,Joints,Neurons,Analytical models,Brain modeling,Training,Data models,classification,Statistical inference,graph theory,network theory,structural pattern recognition,connectome
4
July 2011
FAC'11: Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
Publisher: Springer-Verlag
Augmented reality systems hold great promise, but as they become more complex they can become more challenging to use. Incorporating neural interfaces into augmented reality systems can dramatically increase usability and utility. We explore these issues in the context of Equinox Corporation's Night REAPER™ system--an augmented reality system for dismounted ...
Keywords:
augmented reality, brain-machine interface, wearable systems
5
September 2007
Neural Computation: Volume 19 Issue 9, September 2007
Publisher: MIT Press
We present a multichip, mixed-signal VLSI system for spike-based vision processing. The system consists of an 80 × 60 pixel neuromorphic retina and a 4800 neuron silicon cortex with 4,194,304 synapses. Its functionality is illustrated with experimental data on multiple components of an attention-based hierarchical model of cortical object recognition, ...
6
January 2007
IEEE Transactions on Neural Networks: Volume 18 Issue 1, January 2007
Publisher: IEEE Press
A mixed-signal very large scale integration (VLSI) chip for large scale emulation of spiking neural networks is presented. The chip contains 2400 silicon neurons with fully programmable and reconfigurable synaptic connectivity. Each neuron implements a discrete-time model of a single-compartment cell. The model allows for analog membrane dynamics and an ...
Keywords:
dynamically reconfigurable network, neurotransmitter quantal release, Address–event representation (AER), membrane conductance, mixed-signal very large scale integration (VLSI), switched capacitor, neural emulator
7
December 2006
Biological Cybernetics - Special Issue: Dynamic Principles: Volume 95 Issue 6, December 2006
Publisher: Springer-Verlag New York, Inc.
We show that an ongoing locomotor pattern can be dynamically controlled by applying discrete pulses of electrical stimulation to the central pattern generator (CPG) for locomotion. Data are presented from a pair of experiments on biological (wetware) and electrical (hardware) models of the CPG demonstrating that stimulation causes brief deviations ...
8
December 2004
NIPS'04: Proceedings of the 17th International Conference on Neural Information Processing Systems
Publisher: MIT Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0, Downloads (12 Months): 0, Downloads (Overall): 0
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We have constructed a system that uses an array of 9,600 spiking silicon neurons, a fast microcontroller, and digital memory, to implement a reconfigurable network of integrate-and-fire neurons. The system is designed for rapid prototyping of spiking neural networks that require high-throughput communication with external address-event hardware. Arbitrary network topologies ...
9
January 2002
NIPS'02: Proceedings of the 15th International Conference on Neural Information Processing Systems
Publisher: MIT Press
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0, Downloads (12 Months): 1, Downloads (Overall): 1
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Address-event representation (AER), originally proposed as a means to communicate sparse neural events between neuromorphic chips, has proven efficient in implementing large-scale networks with arbitrary, configurable synaptic connectivity. In this work, we further extend the functionality of AER to implement arbitrary, configurable synaptic plasticity in the address domain. As proof ...
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