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2020 – today
- 2023
[j22]Rufus Mitchell-Heggs, Seigfred Prado, Giuseppe P. Gava, Mary Ann Go, Simon R. Schultz:
Neural manifold analysis of brain circuit dynamics in health and disease. J. Comput. Neurosci. 51(1): 1-21 (2023)- [c15]Gema I. Vera Gonzalez, Phatsimo O. Kgwarae, Simon R. Schultz:
Two-Photon Targeted, Quad Whole-Cell Patch-Clamping Robot. NER 2023: 1-5 - 2021
- [j21]Natalie Ness
, Simon R. Schultz:
A computational grid-to-place-cell transformation model indicates a synaptic driver of place cell impairment in early-stage Alzheimer's Disease. PLoS Comput. Biol. 17(6) (2021) - [c14]Zhiguang Mu, Konstantin Nikolic, Simon R. Schultz:
Quadratic Mutual Information estimation of mouse dLGN receptive fields reveals asymmetry between ON and OFF visual pathways. NER 2021: 1134-1139 - 2020
- [j20]Christian D. Márton, Simon R. Schultz, Bruno B. Averbeck:
Learning to select actions shapes recurrent dynamics in the corticostriatal system. Neural Networks 132: 375-393 (2020)
2010 – 2019
- 2019
- [j19]Carl Henning Lubba, Sarab S. Sethi, Philip Knaute, Simon R. Schultz, Ben D. Fulcher, Nick S. Jones:
catch22: CAnonical Time-series CHaracteristics - Selected through highly comparative time-series analysis. Data Min. Knowl. Discov. 33(6): 1821-1852 (2019) - [j18]Carl Henning Lubba, Yann Le Guen, Sarah Jarvis, Nick S. Jones, Simon C. Cork, Amir Eftekhar, Simon R. Schultz:
PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. Neuroinformatics 17(1): 63-81 (2019) - [j17]Carl Henning Lubba, Yann Le Guen, Sarah Jarvis, Nick S. Jones, Simon C. Cork, Amir Eftekhar, Simon R. Schultz:
Correction to: PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. Neuroinformatics 17(4): 629 (2019) - [c13]Carl Henning Lubba, Ben D. Fulcher, Simon R. Schultz, Nick S. Jones:
Efficient peripheral nerve firing characterisation through massive feature extraction. NER 2019: 179-182 - [c12]Stef Garasto, Wilten Nicola, Anil A. Bharath, Simon R. Schultz:
Neural Sampling Strategies for Visual Stimulus Reconstruction from Two-photon Imaging of Mouse Primary Visual Cortex. NER 2019: 566-570 - [i1]Carl Henning Lubba, Sarab S. Sethi, Philip Knaute, Simon R. Schultz, Ben D. Fulcher, Nick S. Jones:
catch22: CAnonical Time-series CHaracteristics. CoRR abs/1901.10200 (2019) - 2018
- [j16]Stephanie Reynolds, Therese Abrahamsson, Per Jesper Sjöström, Simon R. Schultz, Pier Luigi Dragotti:
CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging. Neural Comput. 30(10) (2018) - [j15]Sarah Jarvis, Konstantin Nikolic, Simon R. Schultz:
Neuronal gain modulability is determined by dendritic morphology: A computational optogenetic study. PLoS Comput. Biol. 14(3) (2018) - 2017
- [j14]Romain D. Cazé, Sarah Jarvis, Amanda J. Foust, Simon R. Schultz:
Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity. Neural Comput. 29(9): 2511-2527 (2017) - [j13]Simon R. Schultz, Caroline S. Copeland, Amanda J. Foust, Peter Quicke, Renaud Schuck:
Advances in Two-Photon Scanning and Scanless Microscopy Technologies for Functional Neural Circuit Imaging. Proc. IEEE 105(1): 139-157 (2017) - [c11]Carl Henning Lubba, Elie Mitrani, Jim Hokanson, Warren M. Grill, Simon R. Schultz:
Real-time decoding of bladder pressure from pelvic nerve activity. NER 2017: 617-620 - 2016
- [j12]Benjamin D. Evans, Sarah Jarvis, Simon R. Schultz, Konstantin Nikolic:
PyRhO: A Multiscale Optogenetics Simulation Platform. Frontiers Neuroinformatics 10: 8 (2016) - [c10]Stephanie Reynolds, Caroline S. Copeland, Simon R. Schultz, Pier Luigi Dragotti:
An extension of the FRI framework for calcium transient detection. ISBI 2016: 676-679 - 2015
- [c9]Marie Tolkiehn, Simon R. Schultz:
Multi-Unit Activity contains information about spatial stimulus structure in mouse primary visual cortex. EMBC 2015: 3771-3774 - [c8]Renaud Schuck, Peter Quicke, Caroline S. Copeland, Stefania Garasto, Luca A. Annecchino, June Kyu Hwang, Simon R. Schultz:
Rapid three dimensional two photon neural population scanning. EMBC 2015: 5867-5870 - 2014
- [c7]Renaud Schuck, Luca A. Annecchino, Simon R. Schultz:
Scaling up multiphoton neural scanning: The SSA algorithm. EMBC 2014: 2837-2840 - [r3]Robin A. A. Ince, Stefano Panzeri, Simon R. Schultz:
Summary of Information Theoretic Quantities. Encyclopedia of Computational Neuroscience 2014 - [r2]Robin A. A. Ince, Simon R. Schultz, Stefano Panzeri:
Estimating Information-Theoretic Quantities. Encyclopedia of Computational Neuroscience 2014 - [r1]Simon R. Schultz, Robin A. A. Ince, Stefano Panzeri:
Applications of Information Theory to Analysis of Neural Data. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j11]Nir Grossman, Vasiliki Simiaki, Claire Martinet, Christofer Toumazou, Simon R. Schultz, Konstantin Nikolic:
The spatial pattern of light determines the kinetics and modulates backpropagation of optogenetic action potentials. J. Comput. Neurosci. 34(3): 477-488 (2013) - [c6]Konstantin Nikolic, Sarah Jarvis, Nir Grossman, Simon R. Schultz:
Computational models of optogenetic tools for controlling neural circuits with light. EMBC 2013: 5934-5937 - 2012
- [j10]Michael T. Schaub, Simon R. Schultz:
The Ising decoder: reading out the activity of large neural ensembles. J. Comput. Neurosci. 32(1): 101-118 (2012) - [j9]Elena Phoka, Mark Wildie, Simon R. Schultz, Mauricio Barahona:
Sensory experience modifies spontaneous state dynamics in a large-scale barrel cortical model. J. Comput. Neurosci. 33(2): 323-339 (2012) - [c5]Kit Cheung, Simon R. Schultz, Wayne Luk:
A Large-Scale Spiking Neural Network Accelerator for FPGA Systems. ICANN (1) 2012: 113-120 - [c4]Nanyi Cui, Jiaying Tang, Simon R. Schultz:
Differential Entropy of Multivariate Neural Spike Trains. ICANN (1) 2012: 280-287 - [c3]Jose Caballero, Jose Antonio Uriguen, Simon R. Schultz, Pier Luigi Dragotti:
Spike sorting at sub-Nyquist rates. ICASSP 2012: 585-588 - 2010
- [j8]Aman B. Saleem, Paul Chadderton, John Apergis-Schoute, Kenneth D. Harris, Simon R. Schultz:
Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials. J. Comput. Neurosci. 29(1-2): 49-62 (2010)
2000 – 2009
- 2007
- [j7]Fernando Montani, Adam Kohn, Matthew A. Smith, Simon R. Schultz:
How do stimulus-dependent correlations between V1 neurons affect neural coding? Neurocomputing 70(10-12): 1782-1787 (2007) - [j6]Simon R. Schultz:
Signal-to-noise ratio in neuroscience. Scholarpedia 2(6): 2046 (2007) - 2002
- [j5]Stefano Panzeri, Rasmus S. Petersen, Simon R. Schultz, M. A. Lebedev, Mathew E. Diamond:
Coding of stimulus location by spike timing in rat somatosensory cortex. Neurocomputing 44-46: 573-578 (2002) - 2001
- [j4]Stefano Panzeri, Simon R. Schultz:
A Unified Approach to the Study of Temporal, Correlational, and Rate Coding. Neural Comput. 13(6): 1311-1349 (2001) - [c2]Simon R. Schultz, Huw D. R. Golledge, Stefano Panzeri:
Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission. Emergent Neural Computational Architectures Based on Neuroscience 2001: 212-226 - 2000
- [p1]Simon R. Schultz, Stefano Panzeri, Edmund T. Rolls, Alessandro Treves:
Quantitative Analysis of a Schaffer Collateral Model. Information Theory and the Brain 2000: 257-272
1990 – 1999
- 1999
- [j3]Simon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls:
Correlated firing and the information represented by neurons in short epochs. Neurocomputing 26-27: 499-504 (1999) - [j2]Stefano Panzeri, Alessandro Treves, Simon R. Schultz, Edmund T. Rolls:
On Decoding the Responses of a Population of Neurons from Short Time Windows. Neural Comput. 11(7): 1553-1577 (1999) - 1997
- [c1]Simon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls:
Analogue Resolution in a Model of the Schaffer Collaterals. ICANN 1997: 61-66 - 1995
- [j1]Simon R. Schultz, Marwan A. Jabri:
A silicon basis for synaptic plasticity. Neural Process. Lett. 2(6): 23-27 (1995)
Coauthor Index
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