Neural fields

Scholarpedia ◽

10.4249/scholarpedia.1373 ◽

2006 ◽

Vol 1 (6) ◽

pp. 1373 ◽

Author(s):

Stephen Coombes

Keyword(s):

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Faculty Opinions recommendation of Protein secondary structure prediction using deep convolutional neural fields.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726067888.793548469 ◽

2018 ◽

Author(s):

Patrice Koehl

Keyword(s):

Secondary Structure ◽

Structure Prediction ◽

Secondary Structure Prediction ◽

Protein Secondary Structure ◽

Neural Fields ◽

Protein Secondary Structure Prediction

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Validating a model for detecting magnetic field intensity using dynamic neural fields

Journal of Theoretical Biology ◽

10.1016/j.jtbi.2016.08.010 ◽

2016 ◽

Vol 408 ◽

pp. 53-65 ◽

Author(s):

Brian K. Taylor

Keyword(s):

Magnetic Field ◽

Field Intensity ◽

Magnetic Field Intensity ◽

Neural Fields ◽

Dynamic Neural Fields

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Spatiotemporal pattern discrimination using predictive dynamic neural fields

BMC Neuroscience ◽

10.1186/1471-2202-13-s1-o16 ◽

2012 ◽

Vol 13 (S1) ◽

Author(s):

Jean-Charles Quinton ◽

Bernard Girau

Keyword(s):

Pattern Discrimination ◽

Spatiotemporal Pattern ◽

Neural Fields ◽

Dynamic Neural Fields

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A numerical simulation of neural fields on curved geometries

Journal of Computational Neuroscience ◽

10.1007/s10827-018-0697-5 ◽

2018 ◽

Vol 45 (2) ◽

pp. 133-145 ◽

Author(s):

R. Martin ◽

D. J. Chappell ◽

N. Chuzhanova ◽

J. J. Crofts

Keyword(s):

Numerical Simulation ◽

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Global Oscillations of CA3 Neural Fields

Advances in Cognitive Neurodynamics ICCN 2007 ◽

10.1007/978-1-4020-8387-7_34 ◽

2008 ◽

pp. 193-196

Author(s):

Francesco Ventriglia

Keyword(s):

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A Neuromorphic Approach for Tracking using Dynamic Neural Fields on a Programmable Vision-chip

Proceedings of the 10th International Conference on Distributed Smart Camera - ICDSC '16 ◽

10.1145/2967413.2967444 ◽

2016 ◽

Author(s):

Julien N.P. Martel ◽

Yulia Sandamirskaya

Keyword(s):

Neural Fields ◽

Vision Chip ◽

Dynamic Neural Fields

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Robot Simulation of Sensory Integration Dysfunction in Autism with Dynamic Neural Fields Model

Artificial Intelligence and Soft Computing – ICAISC 2008 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-69731-2_71 ◽

2008 ◽

pp. 741-751

Author(s):

Winai Chonnaparamutt ◽

Emilia I. Barakova

Keyword(s):

Sensory Integration ◽

Neural Fields ◽

Robot Simulation ◽

Sensory Integration Dysfunction ◽

Dynamic Neural Fields

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Neural Fields Models of Visual Areas: Principles, Successes, and Caveats

Computer Vision – ECCV 2012. Workshops and Demonstrations - Lecture Notes in Computer Science ◽

10.1007/978-3-642-33863-2_48 ◽

2012 ◽

pp. 474-479 ◽

Author(s):

Olivier Faugeras

Keyword(s):

Neural Fields ◽

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From Spiking Neurons to Neural Fields: Bridging the Gap to Achieve Faster Simulations of Neural Systems

Advances in Cognitive Neurodynamics (III) ◽

10.1007/978-94-007-4792-0_12 ◽

2013 ◽

pp. 83-89

Author(s):

Peter A. Robinson ◽

Jong Won Kim

Keyword(s):

Spiking Neurons ◽

Neural Systems ◽

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Real-Time 3D Head Pose Tracking Through 2.5D Constrained Local Models with Local Neural Fields

International Journal of Computer Vision ◽

10.1007/s11263-019-01152-w ◽

2019 ◽

Vol 127 (6-7) ◽

pp. 579-598

Author(s):

Stephen Ackland ◽

Francisco Chiclana ◽

Howell Istance ◽

Simon Coupland

Keyword(s):

Real Time ◽

Neural Fields ◽

Local Models ◽

Head Pose ◽

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