Simon M. Stringer

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 7

Top Topics

Fourier Descriptors

Top Venues

Frontiers Comput. Neurosci.

Neural Networks

Publications

Niels Leadholm, Simon M. Stringer
Hierarchical binding in convolutional neural networks: Making adversarial attacks geometrically challenging. Neural Networks 155 (2022)
Irina Higgins, Simon M. Stringer, Jan W. H. Schnupp
A Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilizing Auditory Nerve Firing for Auditory Category Learning. Neural Comput. 30 (7) (2018)
Nasir Ahmad, Irina Higgins, Kerry M. M. Walker, Simon M. Stringer
Harmonic Training and the Formation of Pitch Representation in a Neural Network Model of the Auditory Brain. Frontiers Comput. Neurosci. 10 (2016)
Benjamin D. Evans, Simon M. Stringer
STDP in lateral connections creates category-based perceptual cycles for invariance learning with multiple stimuli. Biol. Cybern. 109 (2) (2015)
Akihiro Eguchi, Bedeho M. W. Mender, Benjamin D. Evans, Glyn W. Humphreys, Simon M. Stringer
Computational Modelling of the Neural Representation of Object Shape in the Primate Ventral Visual System. Frontiers Comput. Neurosci. 9 (2015)
Juan M. Galeazzi, Loredana Minini, Simon M. Stringer
The Development of Hand-Centered Visual Representations in the Primate Brain: A Computer Modeling Study Using Natural Visual Scenes. Frontiers Comput. Neurosci. 9 (2015)
Hector James Ingram Page, Daniel M. Walters, Simon M. Stringer
Architectural constraints are a major factor reducing path integration accuracy in the rat head direction cell system. Frontiers Comput. Neurosci. 9 (2015)
Benjamin D. Evans, Simon M. Stringer
Transform-invariant visual representations in self-organizing spiking neural networks. Frontiers Comput. Neurosci. 6 (2012)
James M. Tromans, Irina Higgins, Simon M. Stringer
Learning view invariant recognition with partially occluded objects. Frontiers Comput. Neurosci. 6 (2012)
Daniel M. Walters, Simon M. Stringer
Path integration of head direction: updating a packet of neural activity at the correct speed using neuronal time constants. Biol. Cybern. 103 (1) (2010)
Simon M. Stringer, Edmund T. Rolls
Learning transform invariant object recognition in the visual system with multiple stimuli present during training. Neural Networks 21 (7) (2008)
Simon M. Stringer, Edmund T. Rolls, Paul Taylor
Learning movement sequences with a delayed reward signal in a hierarchical model of motor function. Neural Networks 20 (2) (2007)
Edmund T. Rolls, Simon M. Stringer
Invariant Global Motion Recognition in the Dorsal Visual System: A Unifying Theory. Neural Comput. 19 (1) (2007)
Simon M. Stringer, Edmund T. Rolls
Hierarchical dynamical models of motor function. Neurocomputing 70 (4-6) (2007)
Simon M. Stringer, Gavin Perry, Edmund T. Rolls, J. H. Proske
Learning invariant object recognition in the visual system with continuous transformations. Biol. Cybern. 94 (2) (2006)
Edmund T. Rolls, Simon M. Stringer
Spatial view cells in the hippocampus, and their idiothetic update based on place and head direction. Neural Networks 18 (9) (2005)
Simon M. Stringer, Edmund T. Rolls, Thomas P. Trappenberg
Self-organising continuous attractor networks with multiple activity packets, and the representation of space. Neural Networks 17 (1) (2004)
Simon M. Stringer, Edmund T. Rolls, Thomas P. Trappenberg, Ivan E. Tavares de Araújo
Self-organizing continuous attractor networks and motor function. Neural Networks 16 (2) (2003)
Simon M. Stringer, Edmund T. Rolls
Invariant Object Recognition in the Visual System with Novel Views of 3D Objects. Neural Comput. 14 (11) (2002)
Martin C. M. Elliffe, Edmund T. Rolls, Simon M. Stringer
Invariant recognition of feature combinations in the visual system. Biol. Cybern. 86 (1) (2002)
Thomas P. Trappenberg, Edmund T. Rolls, Simon M. Stringer
Effective Size of Receptive Fields of Inferior Temporal Visual Cortex Neurons in Natural Scenes. NIPS (2001)
Simon M. Stringer, Edmund T. Rolls
Position invariant recognition in the visual system with cluttered environments. Neural Networks 13 (3) (2000)