Simon R. Schultz

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Stefano PanzeriUniversity Medical Center Hamburg-Eppendorf (UKE), and Istituto Italiano di TecnologiaVerified email at uke.de
Edmund T RollsOxford Centre for Computational Neuroscience and University of WarwickVerified email at oxcns.org
Sarah JarvisVerified email at alcortex.com
Pier Luigi DragottiProfessor, Imperial College LondonVerified email at imperial.ac.uk
Alessandro TrevesSISSA, Oxford, Jerusalem, Roma, +Trondheim, AgderVerified email at sissa.it
Carl H LubbaImperial College LondonVerified email at imperial.ac.uk
Nick S JonesMathematics, Imperial College LondonVerified email at imperial.ac.uk
Amanda FoustImperial College London, Dept. BioengineeringVerified email at imperial.ac.uk
Peter QuickeThe Francis Crick InstituteVerified email at crick.ac.uk
Rasmus PetersenUniversity of ManchesterVerified email at manchester.ac.uk
Konstantin NikolicUniversity of West LondonVerified email at uwl.ac.uk
Fernando MontaniIndependent Researcher IFLP, UNLP - CONICET; Professor of Physics, Department of PhysicsVerified email at fisica.unlp.edu.ar
Giuseppe Pietro GavaPostdoctoral neuroscientist at MRC Brain Network Dynamics Unit, University of OxfordVerified email at ndcn.ox.ac.uk
Stephanie ReynoldsPhD student, Imperial College LondonVerified email at imperial.ac.uk
Carmel HoweOregon Health and Science UniversityVerified email at ohsu.edu
Mikhail LebedevProfessor Moscow State UniversityVerified email at math.msu.ru
Mathew E. DiamondProfessor of Cognitive Neuroscience, International School for Advanced StudiesVerified email at sissa.it
Luca A AnnecchinoBiopharmaspecVerified email at biopharmaspec.com
Romain CazéSorbonnes UniversitésVerified email at upmc.fr
Thomas KnopfelHong Kong Baptist UniversityVerified email at knopfel-lab.net

Simon R. Schultz

Imperial College London

Verified email at imperial.ac.uk - Homepage

Neuroscience Neurotechnology Computational Neuroscience Neural Engineering Neurophotonics


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The role of spike timing in the coding of stimulus location in rat somatosensory cortex S Panzeri, RS Petersen, SR Schultz, M Lebedev, ME Diamond Neuron 29 (3), 769-777, 2001	512	2001
Correlations and the encoding of information in the nervous system S Panzeri, SR Schultz, A Treves, ET Rolls Proceedings of the Royal Society of London. Series B: Biological Sciences …, 1999	396	1999
catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis CH Lubba, SS Sethi, P Knaute, SR Schultz, BD Fulcher, NS Jones Data Mining and Knowledge Discovery 33 (6), 1821-1852, 2019	358	2019
A unified approach to the study of temporal, correlational, and rate coding S Panzeri, SR Schultz Neural Computation 13 (6), 1311-1349, 2001	163	2001
Spatial pattern coding of sensory information by climbing fiber-evoked calcium signals in networks of neighboring cerebellar Purkinje cells SR Schultz, K Kitamura, A Post-Uiterweer, J Krupic, M Häusser The Journal of Neuroscience 29 (25), 8005, 2009	139	2009
A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging J Onativia, SR Schultz, PL Dragotti Journal of neural engineering 10 (4), 046017, 2013	118	2013
The role of correlations in direction and contrast coding in the primary visual cortex F Montani, A Kohn, MA Smith, SR Schultz The Journal of neuroscience 27 (9), 2338-2348, 2007	113	2007
NeuroFlow: a general purpose spiking neural network simulation platform using customizable processors K Cheung, SR Schultz, W Luk Frontiers in neuroscience 9, 516, 2016	106	2016
On decoding the responses of a population of neurons from short time windows S Panzeri, A Treves, S Schultz, ET Rolls Neural Computation 11 (7), 1553-1577, 1999	104	1999
A large-scale spiking neural network accelerator for FPGA systems K Cheung, SR Schultz, W Luk Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012	83	2012
Performance in a GO/NOGO perceptual task reflects a balance between impulsive and instrumental components of behaviour A Berditchevskaia, R Caze, SR Schultz Scientific Reports 6, 27389, 2016	77	2016
Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials AB Saleem, P Chadderton, J Apergis-Schoute, KD Harris, SR Schultz Journal of computational neuroscience 29, 49-62, 2010	77	2010
Localising and classifying neurons from high density MEA recordings ID Ruz, SR Schultz Journal of neuroscience methods 233, 115-128, 2014	66	2014
Visual receptive field properties of neurons in the mouse lateral geniculate nucleus J Tang, SC Ardila Jimenez, S Chakraborty, SR Schultz PloS one 11 (1), e0146017, 2016	62	2016
The spatial pattern of light determines the kinetics and modulates backpropagation of optogenetic action potentials N Grossman, V Simiaki, C Martinet, C Toumazou, SR Schultz, K Nikolic Journal of computational neuroscience 34, 477-488, 2013	62	2013
Robotic automation of in vivo two-photon targeted whole-cell patch-clamp electrophysiology LA Annecchino, AR Morris, CS Copeland, OE Agabi, P Chadderton, ... Neuron 95 (5), 1048-1055. e3, 2017	61	2017
Progress in automating patch clamp cellular physiology LA Annecchino, SR Schultz Brain and neuroscience advances 2, 2398212818776561, 2018	57	2018
Analogue VLSI `integrate-and-fire' neuron with frequency adaptation SR Schultz, MA Jabri Electronics Letters 31 (16), 1357-1358, 1995	54	1995
Dopamine activation preserves visual motion perception despite noise interference of human V5/MT N Yousif, RZ Fu, BAEE Bourquin, V Bhrugubanda, SR Schultz, ... Journal of Neuroscience 36 (36), 9303-9312, 2016	53	2016
Integrating new memories into the hippocampal network activity space GP Gava, SB McHugh, L Lefèvre, V Lopes-dos-Santos, S Trouche, ... Nature neuroscience 24 (3), 326-330, 2021	52	2021

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