Imperial College London

DrSimonSchultz

Faculty of EngineeringDepartment of Bioengineering

Reader in Neurotechnology
 
 
 
//

Contact

 

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

 
 
//

Location

 

4.11Royal School of MinesSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

50 results found

Schultz SR, Copeland CS, Foust AJ, Quicke P, Schuck Ret al., 2017, Advances in Two-Photon Scanning and Scanless Microscopy Technologies for Functional Neural Circuit Imaging, PROCEEDINGS OF THE IEEE, Vol: 105, Pages: 139-157, ISSN: 0018-9219

JOURNAL ARTICLE

Berditchevskaia A, Caze RD, Schultz SR, 2016, Performance in a GO/NOGO perceptual task reflects a balance between impulsive and instrumental components of behaviour, SCIENTIFIC REPORTS, Vol: 6, ISSN: 2045-2322

JOURNAL ARTICLE

Cheung K, Schultz SR, Luk W, 2016, NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors, FRONTIERS IN NEUROSCIENCE, Vol: 9, ISSN: 1662-453X

JOURNAL ARTICLE

Evans BD, Jarvis S, Schultz SR, Nikolic Ket al., 2016, PyRhO: A Multiscale Optogenetics Simulation Platform, FRONTIERS IN NEUROINFORMATICS, Vol: 10, ISSN: 1662-5196

JOURNAL ARTICLE

Reynolds S, Copeland CS, Schultz SR, Dragotti PLet al., 2016, AN EXTENSION OF THE FRI FRAMEWORK FOR CALCIUM TRANSIENT DETECTION, IEEE 13th International Symposium on Biomedical Imaging (ISBI), Publisher: IEEE, Pages: 676-679, ISSN: 1945-7928

CONFERENCE PAPER

Tang J, Jimenez SCA, Chakraborty S, Schultz SRet al., 2016, Visual Receptive Field Properties of Neurons in the Mouse Lateral Geniculate Nucleus, PLOS ONE, Vol: 11, ISSN: 1932-6203

JOURNAL ARTICLE

Yousif N, Fu RZ, Bourquin BA-E-E, Bhrugubanda V, Schultz SR, Seemungal BMet al., 2016, Dopamine Activation Preserves Visual Motion Perception Despite Noise Interference of Human V5/MT, JOURNAL OF NEUROSCIENCE, Vol: 36, Pages: 9303-9312, ISSN: 0270-6474

JOURNAL ARTICLE

Cheung K, Schultz SR, Luk W, 2015, NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors., Front Neurosci, Vol: 9, ISSN: 1662-4548

NeuroFlow is a scalable spiking neural network simulation platform for off-the-shelf high performance computing systems using customizable hardware processors such as Field-Programmable Gate Arrays (FPGAs). Unlike multi-core processors and application-specific integrated circuits, the processor architecture of NeuroFlow can be redesigned and reconfigured to suit a particular simulation to deliver optimized performance, such as the degree of parallelism to employ. The compilation process supports using PyNN, a simulator-independent neural network description language, to configure the processor. NeuroFlow supports a number of commonly used current or conductance based neuronal models such as integrate-and-fire and Izhikevich models, and the spike-timing-dependent plasticity (STDP) rule for learning. A 6-FPGA system can simulate a network of up to ~600,000 neurons and can achieve a real-time performance of 400,000 neurons. Using one FPGA, NeuroFlow delivers a speedup of up to 33.6 times the speed of an 8-core processor, or 2.83 times the speed of GPU-based platforms. With high flexibility and throughput, NeuroFlow provides a viable environment for large-scale neural network simulation.

JOURNAL ARTICLE

Hallett E, Woodward R, Schultz S, Vaidyanathan Ret al., 2015, Rapid Bicycle Gear Switching Based on Physiological Cues, IEEE International Conference on Automation Science and Engineering (CASE), Publisher: IEEE, Pages: 377-382, ISSN: 2161-8070

CONFERENCE PAPER

Jarvis S, Schultz SR, 2015, Prospects for Optogenetic Augmentation of Brain Function., Front Syst Neurosci, Vol: 9

The ability to optically control neural activity opens up possibilities for the restoration of normal function following neurological disorders. The temporal precision, spatial resolution, and neuronal specificity that optogenetics offers is unequalled by other available methods, so will it be suitable for not only restoring but also extending brain function? As the first demonstrations of optically "implanted" novel memories emerge, we examine the suitability of optogenetics as a technique for extending neural function. While optogenetics is an effective tool for altering neural activity, the largest impediment for optogenetics in neural augmentation is our systems level understanding of brain function. Furthermore, a number of clinical limitations currently remain as substantial hurdles for the applications proposed. While neurotechnologies for treating brain disorders and interfacing with prosthetics have advanced rapidly in the past few years, partially addressing some of these critical problems, optogenetics is not yet suitable for use in humans. Instead we conclude that for the immediate future, optogenetics is the neurological equivalent of the 3D printer: its flexibility providing an ideal tool for testing and prototyping solutions for treating brain disorders and augmenting brain function.

JOURNAL ARTICLE

Reynolds S, Onativia J, Copeland CS, Schultz SR, Dragotti PLet al., 2015, Spike Detection Using FRI Methods and Protein Calcium Sensors: Performance Analysis and Comparisons, International Conference on Sampling Theory and Applications (SampTA), Publisher: IEEE, Pages: 533-537

CONFERENCE PAPER

Schuck R, Quicke P, Copeland C, Garasto S, Annecchino LA, Hwang JK, Schultz SRet al., 2015, Rapid three dimensional two photon neural population scanning, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Publisher: IEEE, Pages: 5867-5870, ISSN: 1557-170X

CONFERENCE PAPER

Tolkiehn M, Schultz SR, 2015, Multi-Unit Activity contains information about spatial stimulus structure in mouse primary visual cortex, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Publisher: IEEE, Pages: 3771-3774, ISSN: 1557-170X

CONFERENCE PAPER

Jarvis SJ, Nikolic K, Schultz SR, 2014, Optical coactivation in cortical cells: reprogramming the excitation-inhibition balancing act to control neuronal gain in abstract and detailed models, BMC Neuroscience, Vol: 15, Pages: F1-F1, ISSN: 1471-2202

JOURNAL ARTICLE

Longden KD, Muzzu T, Cook DJ, Schultz SR, Krapp HGet al., 2014, Nutritional State Modulates the Neural Processing of Visual Motion, CURRENT BIOLOGY, Vol: 24, Pages: 890-895, ISSN: 0960-9822

JOURNAL ARTICLE

Ruz ID, Schultz SR, 2014, Localising and classifying neurons from high density MEA recordings, JOURNAL OF NEUROSCIENCE METHODS, Vol: 233, Pages: 115-128, ISSN: 0165-0270

JOURNAL ARTICLE

Schuck R, Annecchino LA, Schultz SR, 2014, Scaling Up Multiphoton Neural Scanning: the SSA algorithm, Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, Pages: 2837-2840, ISSN: 1557-170X

JOURNAL ARTICLE

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

Grossman N, Simiaki V, Martinet C, Toumazou C, Schultz SR, Nikolic Ket al., 2013, The spatial pattern of light determines the kinetics and modulates backpropagation of optogenetic action potentials, JOURNAL OF COMPUTATIONAL NEUROSCIENCE, Vol: 34, Pages: 477-488, ISSN: 0929-5313

JOURNAL ARTICLE

Montani F, Phoka E, Portesi M, Schultz SRet al., 2013, Statistical modelling of higher-order correlations in pools of neural activity, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, Vol: 392, Pages: 3066-3086, ISSN: 0378-4371

JOURNAL ARTICLE

Nikolic K, Jarvis S, Grossman N, Schultz Set al., 2013, Computational Models of Optogenetic Tools for Controlling Neural Circuits with Light, 35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 5934-5937, ISSN: 1557-170X

CONFERENCE PAPER

Nikolic K, Jarvis S, Schultz S, Grossman Net al., 2013, Controlling the neuronal balancing act: optical coactivation of excitation and inhibition in neuronal subdomains, BMC Neuroscience, Vol: 14, ISSN: 1471-2202

JOURNAL ARTICLE

Onativia J, Schultz SR, Dragotti PL, 2013, A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging, JOURNAL OF NEURAL ENGINEERING, Vol: 10, ISSN: 1741-2560

JOURNAL ARTICLE

Oshiorenoya AE, Marchand P, Mutlu M, Klotz L, Schultz SRet al., 2013, Calcium Imaging In Temporal Focus, 6th International IEEE EMBS Conference on Neural Engineering (NER), Publisher: IEEE, Pages: 1525-1528, ISSN: 1948-3546

CONFERENCE PAPER

Seemungal BM, Guzman-Lopez J, Arshad Q, Schultz SR, Walsh V, Yousif Net al., 2013, Vestibular Activation Differentially Modulates Human Early Visual Cortex and V5/MT Excitability and Response Entropy, CEREBRAL CORTEX, Vol: 23, Pages: 12-+, ISSN: 1047-3211

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

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

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, Vol: 32, Pages: 1634-1642, ISSN: 0270-6474

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

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

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: respub-action=search.html&id=00422016&limit=30&person=true