Imperial College London

ProfessorSimonSchultz

Faculty of EngineeringDepartment of Bioengineering

Professor of Neurotechnology
 
 
 
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Contact

 

+44 (0)20 7594 1533s.schultz Website

 
 
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Location

 

4.11Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

91 results found

Caze RD, Humphries MD, Gutkin B, Schultz SRet al., 2013, A difficult classification for neurons without dendrites, 6th International IEEE EMBS Conference on Neural Engineering (NER), Publisher: IEEE, Pages: 215-218, ISSN: 1948-3546

Conference paper

Seemungal B, Guzman-Lopez J, Arshad Q, Schultz SR, Walsh V, Yousif Net al., 2012, VESTIBULAR ACTIVATION DIFFERENTIALLY MODULATES HUMAN EARLY VISUAL CORTEX AND V5/MT EXCITABILITY AND RESPONSE ENTROPY, Annual Meeting of the Association-of-British-Neurologists, Publisher: BMJ PUBLISHING GROUP, ISSN: 0022-3050

Conference paper

Cheung K, Schultz SR, Luk W, 2012, A large-scale spiking neural network accelerator for FPGA systems, Pages: 113-120, ISSN: 0302-9743

Spiking neural networks (SNN) aim to mimic membrane potential dynamics of biological neurons. They have been used widely in neuromorphic applications and neuroscience modeling studies. We design a parallel SNN accelerator for producing large-scale cortical simulation targeting an off-the-shelf Field-Programmable Gate Array (FPGA)-based system. The accelerator parallelizes synaptic processing with run time proportional to the firing rate of the network. Using only one FPGA, this accelerator is estimated to support simulation of 64K neurons 2.5 times real-time, and achieves a spike delivery rate which is at least 1.4 times faster than a recent GPU accelerator with a benchmark toroidal network. © 2012 Springer-Verlag.

Conference paper

Phoka E, Wildie M, Schultz SR, Barahona Met al., 2012, Sensory experience modifies spontaneous state dynamics in a large-scale barrel cortical model, JOURNAL OF COMPUTATIONAL NEUROSCIENCE, Vol: 33, Pages: 323-339, ISSN: 0929-5313

Journal article

Schaub MT, Schultz SR, 2012, The Ising decoder: reading out the activity of large neural ensembles, JOURNAL OF COMPUTATIONAL NEUROSCIENCE, Vol: 32, Pages: 101-118, ISSN: 0929-5313

Journal article

Saleem AB, Longden KD, Schwyn DA, Krapp HG, Schultz SRet al., 2012, Bimodal optomotor response to plaids in blowflies: mechanisms of component selectivity and evidence for pattern selectivity., J Neurosci, Vol: 32, Pages: 1634-1642

Many animals estimate their self-motion and the movement of external objects by exploiting panoramic patterns of visual motion. To probe how visual systems process compound motion patterns, superimposed visual gratings moving in different directions, plaid stimuli, have been successfully used in vertebrates. Surprisingly, nothing is known about how visually guided insects process plaids. Here, we explored in the blowfly how the well characterized yaw optomotor reflex and the activity of identified visual interneurons depend on plaid stimuli. We show that contrary to previous expectations, the yaw optomotor reflex shows a bimodal directional tuning for certain plaid stimuli. To understand the neural correlates of this behavior, we recorded the responses of a visual interneuron supporting the reflex, the H1 cell, which was also bimodally tuned to the plaid direction. Using a computational model, we identified the essential neural processing steps required to capture the observed response properties. These processing steps have functional parallels with mechanisms found in the primate visual system, despite different biophysical implementations. By characterizing other visual neurons supporting visually guided behaviors, we found responses that ranged from being bimodally tuned to the stimulus direction (component-selective), to responses that appear to be tuned to the direction of the global pattern (pattern-selective). Our results extend the current understanding of neural mechanisms of motion processing in insects, and indicate that the fly employs a wider range of behavioral responses to multiple motion cues than previously reported.

Journal article

Seemungal BM, Guzman-Lopez J, Arshad Q, Schultz SR, Walsh V, Yousif Net al., 2012, Vestibular Activation Differentially Modulates Excitability and Response Entropy in Human V5/MT and Early Visual Cortex., Cerebral Cortex, Vol: 23, Pages: 12-19, ISSN: 1047-3211

Head movement imposes the additional burdens on the visual system of maintaining visual-acuity and determining the origin of retinal image motion (i.e. self-motion versus object-motion). Although maintaining visual acuity during self-motion is effected by minimising retinal slip via the brainstem vestibular-ocular reflex, higher-order visuo-vestibular mechanisms also contribute. Disambiguating self-motion versus object-motion also invokes higher-order mechanisms and a cortical visuo-vestibular reciprocal antagonism is propounded. Hence one prediction is of a vestibular modulation of visual cortical excitability and indirect measures have variously suggested none, focal or global effects of activation or suppression in human visual cortex. Using transcranial magnetic stimulation-induced phosphenes to probe cortical excitability, we observed decreased V5/MT excitability versus increased Early Visual Cortex (EVC) excitability, during vestibular activation. In order to exclude non-specific effects (e.g. arousal) on cortical excitability, response specificity was assessed using information theory, specifically response entropy. Vestibular activation significantly modulated phosphene response entropy for V5/MT but not EVC, implying a specific vestibular effect on V5/MT responses. This is the first demonstration that vestibular activation modulates human visual cortex excitability. Furthermore, using information theory, not previously used in phosphene response analysis, we could distinguish between a specific vestibular modulation of V5/MT excitability from a non-specific effect at EVC.

Journal article

Caballero J, Urigueen JA, Schultz SR, Dragotti PLet al., 2012, SPIKE SORTING AT SUB-NYQUIST RATES, IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 585-588, ISSN: 1520-6149

Conference paper

Saleem AB, Longden KD, Schwyn DA, Krapp HG, Schultz SRet al., 2012, Bimodal optomotor response to plaids in blowflies: mechanisms of component-selectivity and evidence for pattern-selectivity, Journal of Neuroscience

Journal article

Saleem AB, Chadderton P, Apergis-Schoute J, Harris KD, Schultz SRet al., 2010, Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials, JOURNAL OF COMPUTATIONAL NEUROSCIENCE, Vol: 29, Pages: 49-62, ISSN: 0929-5313

Journal article

Cook D, Gillies D, Schultz S, 2010, Using GLMs to recover sparse connectivity in complex networks, BMC Neuroscience, Vol: 11

Journal article

Phoka E, Wildie M, Petersen RS, Barahona M, Schultz SRet al., 2010, How is a sensory stimulus represented in ongoing dynamics in the barrel cortex?, Annual Computational Neuroscience Meeting

Conference paper

Schultz SR, Kitamura K, Post-Uiterweer A, Krupic J, Haeusser Met al., 2009, Spatial Pattern Coding of Sensory Information by Climbing Fiber-Evoked Calcium Signals in Networks of Neighboring Cerebellar Purkinje Cells, JOURNAL OF NEUROSCIENCE, Vol: 29, Pages: 8005-8015, ISSN: 0270-6474

Journal article

Wildie M, Luk W, Schultz SR, Leong PHW, Fidjeland Aet al., 2009, Reconfigurable acceleration of neural models with gap junctions, Sydney, Australia, Pages: 439-442

Conference paper

Cheung K, Schultz SR, Leong PHW, 2009, A parallel spiking neural network simulator, Sydney, Australia, Pages: 247-254

Conference paper

Saleem AB, Krapp HG, Schultz SR, 2008, Receptive field characterisation by spike-triggered independent component analysis, Journal of Vision, Pages: in press-16

Journal article

Montani F, Kohn A, Smith MA, Schultz SRet al., 2007, The role of correlations in direction and contrast coding in the primary visual cortex (vol 27, pg 2338, 2007), JOURNAL OF NEUROSCIENCE, Vol: 27, Pages: 5835-5835, ISSN: 0270-6474

Journal article

Montani F, Kohn A, Smith MA, Schultz SRet al., 2007, The role of correlations in direction and contrast coding in the primary visual cortex, JOURNAL OF NEUROSCIENCE, Vol: 27, Pages: 2338-2348, ISSN: 0270-6474

Journal article

Einarsdottir H, Montani F, Schultz SR, 2007, A mathematical model of receptive field reorganization following stroke, IEEE International Conference on Development and Learning, Pages: 211-216

Conference paper

Disney AA, Schultz SR, 2004, Hallucinations and acetylcholine: Signal or noise?, BEHAVIORAL AND BRAIN SCIENCES, Vol: 27, Pages: 790-+, ISSN: 0140-525X

Journal article

Rust NC, Schultz SR, Movshon JA, 2002, A reciprocal relationship between reliability and responsiveness in developing visual cortical neurons, JOURNAL OF NEUROSCIENCE, Vol: 22, Pages: 10519-10523, ISSN: 0270-6474

Journal article

Schultz SR, Panzeri S, 2001, Temporal correlations and neural spike train entropy, PHYSICAL REVIEW LETTERS, Vol: 86, Pages: 5823-5826, ISSN: 0031-9007

Journal article

Panzeri S, Schultz SR, 2001, A unified approach to the study of temporal, correlational, and rate coding, NEURAL COMPUTATION, Vol: 13, Pages: 1311-1349, ISSN: 0899-7667

Journal article

Panzeri S, Petersen RS, Schultz SR, Lebedev M, Diamond MEet al., 2001, The role of spike timing in the coding of stimulus location in rat somatosensory cortex, NEURON, Vol: 29, Pages: 769-777, ISSN: 0896-6273

Journal article

Schultz SR, Rolls ET, 1999, Analysis of information transmission in the Schaffer collaterals, Hippocampus, Vol: 9, Pages: 582-598

Journal article

Panzeri S, Treves A, Schultz SR, Rolls ETet al., 1999, On decoding the responses of a population of neurons from short time windows, Neural Computation, Vol: 11, Pages: 1553-1577

Journal article

Panzeri S, Schultz SR, Treves A, Rolls ETet al., 1999, Correlations and the encoding of information in the nervous system, Proceedings of the Royal Society of London Series B: Biological Sciences, Vol: 266, Pages: 1001-1012

Journal article

Schultz SR, Treves A, 1998, Stability of the replica symmetric solution for the information conveyed by a neural network, Physical Review E, Vol: 57, Pages: 3302-3310

Journal article

Leerink LR, Schultz SR, Jabri MA, 1995, A Reinforcement Learning Exploration Strategy based on Ant Foraging Mechanisms, Proc. Sixth Australian Conf. on Neural Networks, Sydney, Australia, Pages: 217-220

Conference paper

Schultz SR, Jabri MA, 1995, An analogue VLSI `integrate-and-fire' neuron with frequency adaptation, Electronics Letters, Vol: 31, Pages: 1357-1358

Journal article

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