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

59 results found

Annecchino LA, Morris AR, Copeland CS, Agabi OE, Chadderton P, Schultz SRet al., 2017, Robotic Automation of In Vivo Two-Photon Targeted Whole-Cell Patch-Clamp Electrophysiology, NEURON, Vol: 95, Pages: 1048-+, ISSN: 0896-6273

JOURNAL ARTICLE

Caze RD, Jarvis S, Foust AJ, Schultz SRet al., 2017, Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity, NEURAL COMPUTATION, Vol: 29, Pages: 2511-2527, ISSN: 0899-7667

JOURNAL ARTICLE

Quicke P, Neil M, Knopfel T, Schultz SR, Foust AJet al., 2017, Source-Localized Multifocal Two-Photon Microscopy for High-Speed Functional Imaging, 71st Annual Meeting of the Society-of-General-Physiologists (SGP) on Optical Revolution in Physiology - From Membrane to Brain, Publisher: ROCKEFELLER UNIV PRESS, Pages: 13A-14A, ISSN: 0022-1295

CONFERENCE PAPER

Reynolds S, Abrahamsson T, Schuck R, Sjöström PJ, Schultz SR, Dragotti PLet al., 2017, ABLE: An Activity-Based Level Set Segmentation Algorithm for Two-Photon Calcium Imaging Data., eNeuro, Vol: 4

We present an algorithm for detecting the location of cells from two-photon calcium imaging data. In our framework, multiple coupled active contours evolve, guided by a model-based cost function, to identify cell boundaries. An active contour seeks to partition a local region into two subregions, a cell interior and exterior, in which all pixels have maximally "similar" time courses. This simple, local model allows contours to be evolved predominantly independently. When contours are sufficiently close, their evolution is coupled, in a manner that permits overlap. We illustrate the ability of the proposed method to demix overlapping cells on real data. The proposed framework is flexible, incorporating no prior information regarding a cell's morphology or stereotypical temporal activity, which enables the detection of cells with diverse properties. We demonstrate algorithm performance on a challenging mouse in vitro dataset, containing synchronously spiking cells, and a manually labelled mouse in vivo dataset, on which ABLE (the proposed method) achieves a 67.5% success rate.

JOURNAL ARTICLE

Schuck R, Go MA, Garasto S, Reynolds S, Dragotti PL, Schultz Set al., 2017, Multiphoton minimal inertia scanning for fast acquisition of neural activity signals., J Neural Eng

OBJECTIVE: Multi-photon laser scanning microscopy provides a powerful tool for monitoring the spatiotemporal dynamics of neural circuit activity. It is, however, intrinsically a point scanning technique. Standard raster scanning enables imaging at subcellular resolution; however, acquisition rates are limited by the size of the field of view to be scanned. Recently developed scanning strategies such as Travelling Salesman Scanning (TSS) have been developed to maximize cellular sampling rate by scanning only select regions in the field of view corresponding to locations of interest such as somata. However, such strategies are not optimized for the mechanical properties of galvanometric scanners. We thus aimed to develop a new scanning algorithm which produces minimal inertia trajectories, and compare its performance with existing scanning algorithms.
 Approach: We describe here the Adaptive Spiral Scanning (SSA) algorithm, which fits a set of near-circular trajectories to the cellular distribution to avoid inertial drifts of galvanometer position. We compare its performance to raster scanning and TSS in terms of cellular sampling frequency and signal-to-noise ratio (SNR).
 Main Results: Using surrogate neuron spatial position data, we show that SSA acquisition rates
 are an order of magnitude higher than those for raster scanning and generally exceed those achieved by TSS for neural densities comparable with those found in the cortex. We show that this result also holds true for in vitro hippocampal mouse brain slices bath loaded with the synthetic calcium dye Cal-520 AM. The ability of TSS to "park" the laser on each neuron along the scanning trajectory, however, enables higher SNR than SSA when all targets are precisely scanned. Raster scanning has the highest SNR but at a substantial cost in number of cells scanned. To understand the impact of sampling rate and SNR on functional calcium imaging, we used the Crame ́r-Rao Bound on e

JOURNAL ARTICLE

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, FRONTIERS IN SYSTEMS NEUROSCIENCE, Vol: 9, ISSN: 1662-5137

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

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

Jarvis S, Nikolic K, Grossman N, Schultz SRet al., 2013, Controlling the neuronal balancing act: optical coactivation of excitation and inhibition in neuronal subdomains., Pages: P348-P348

CONFERENCE PAPER

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

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

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