Simon R. Schultz

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 18

Top Topics

Computational Models

Top Venues

J. Comput. Neurosci.

Publications

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) (2023)
Gema I. Vera Gonzalez, Phatsimo O. Kgwarae, Simon R. Schultz
Two-Photon Targeted, Quad Whole-Cell Patch-Clamping Robot. NER (2023)
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)
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)
Christian D. Márton, Simon R. Schultz, Bruno B. Averbeck
Learning to select actions shapes recurrent dynamics in the corticostriatal system. Neural Networks 132 (2020)
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) (2019)
Carl Henning Lubba, Ben D. Fulcher, Simon R. Schultz, Nick S. Jones
Efficient peripheral nerve firing characterisation through massive feature extraction. NER (2019)
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)
Carl Henning Lubba, Sarab S. Sethi, Philip Knaute, Simon R. Schultz, Ben D. Fulcher, Nick S. Jones
catch22: CAnonical Time-series CHaracteristics. CoRR (2019)
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) (2019)
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) (2019)
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)
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)
Romain D. Cazé, Sarah Jarvis, Amanda J. Foust, Simon R. Schultz
Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity. Neural Comput. 29 (9) (2017)
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) (2017)
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)
Stephanie Reynolds, Caroline S. Copeland, Simon R. Schultz, Pier Luigi Dragotti
An extension of the FRI framework for calcium transient detection. ISBI (2016)
Benjamin D. Evans, Sarah Jarvis, Simon R. Schultz, Konstantin Nikolic
PyRhO: A Multiscale Optogenetics Simulation Platform. Frontiers Neuroinformatics 10 (2016)
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)
Marie Tolkiehn, Simon R. Schultz
Multi-Unit Activity contains information about spatial stimulus structure in mouse primary visual cortex. EMBC (2015)
Renaud Schuck, Luca A. Annecchino, Simon R. Schultz
Scaling up multiphoton neural scanning: The SSA algorithm. EMBC (2014)
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) (2013)
Konstantin Nikolic, Sarah Jarvis, Nir Grossman, Simon R. Schultz
Computational models of optogenetic tools for controlling neural circuits with light. EMBC (2013)
Michael T. Schaub, Simon R. Schultz
The Ising decoder: reading out the activity of large neural ensembles. J. Comput. Neurosci. 32 (1) (2012)
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) (2012)
Kit Cheung, Simon R. Schultz, Wayne Luk
A Large-Scale Spiking Neural Network Accelerator for FPGA Systems. ICANN (1) (2012)
Nanyi Cui, Jiaying Tang, Simon R. Schultz
Differential Entropy of Multivariate Neural Spike Trains. ICANN (1) (2012)
Jose Caballero, Jose Antonio Uriguen, Simon R. Schultz, Pier Luigi Dragotti
Spike sorting at sub-Nyquist rates. ICASSP (2012)
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) (2010)
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) (2007)
Simon R. Schultz
Signal-to-noise ratio in neuroscience. Scholarpedia 2 (6) (2007)
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 (2002)
Stefano Panzeri, Simon R. Schultz
A Unified Approach to the Study of Temporal, Correlational, and Rate Coding. Neural Comput. 13 (6) (2001)
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)
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) (1999)
Simon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls
Correlated firing and the information represented by neurons in short epochs. Neurocomputing (1999)
Simon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls
Analogue Resolution in a Model of the Schaffer Collaterals. ICANN (1997)
Simon R. Schultz, Marwan A. Jabri
A silicon basis for synaptic plasticity. Neural Process. Lett. 2 (6) (1995)