# | Title | Journal | Year | Citations |
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1 | A review of methods for spike sorting: the detection and classification of neural action potentials | Network: Computation in Neural Systems | 1998 | 769 |
2 | Transfer entropy—a model-free measure of effective connectivity for the neurosciences | Journal of Computational Neuroscience | 2011 | 753 |
3 | Synchronous oscillations in neuronal systems: Mechanisms and functions | Journal of Computational Neuroscience | 1994 | 707 |
4 | When inhibition not excitation synchronizes neural firing | Journal of Computational Neuroscience | 1994 | 696 |
5 | Simulation of networks of spiking neurons: A review of tools and strategies | Journal of Computational Neuroscience | 2007 | 639 |
6 | The statistics of natural images | Network: Computation in Neural Systems | 1994 | 605 |
7 | A simple white noise analysis of neuronal light responses | Network: Computation in Neural Systems | 2001 | 601 |
8 | Could information theory provide an ecological theory of sensory processing? | Network: Computation in Neural Systems | 1992 | 564 |
9 | Statistics of natural image categories | Network: Computation in Neural Systems | 2003 | 538 |
10 | Intrinsic and network rhythmogenesis in a reduced traub model for CA3 neurons | Journal of Computational Neuroscience | 1994 | 524 |
11 | High Frequency Stimulation of the Subthalamic Nucleus Eliminates Pathological Thalamic Rhythmicity in a Computational Model | Journal of Computational Neuroscience | 2004 | 511 |
12 | Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism | Journal of Computational Neuroscience | 1994 | 508 |
13 | Vector reconstruction from firing rates | Journal of Computational Neuroscience | 1994 | 434 |
14 | A simple white noise analysis of neuronal light responses | Network: Computation in Neural Systems | 2001 | 426 |
15 | Redundancy reduction revisited | Network: Computation in Neural Systems | 2001 | 422 |
16 | Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks | Network: Computation in Neural Systems | 1995 | 420 |
17 | Synchronization and oscillatory dynamics in heterogeneous, mutually inhibited neurons | Journal of Computational Neuroscience | 1998 | 369 |
18 | Natural image statistics and efficient coding | Network: Computation in Neural Systems | 1996 | 340 |
19 | Temporal encoding in nervous systems: A rigorous definition | Journal of Computational Neuroscience | 1995 | 336 |
20 | Kernel bandwidth optimization in spike rate estimation | Journal of Computational Neuroscience | 2010 | 328 |
21 | ModelDB: A Database to Support Computational Neuroscience | Journal of Computational Neuroscience | 2004 | 311 |
22 | Statistics of natural time-varying images | Network: Computation in Neural Systems | 1995 | 307 |
23 | Role of an A-type K+ conductance in the back-propagation of action potentials in the dendrites of hippocampal pyramidal neurons | Journal of Computational Neuroscience | 1999 | 307 |
24 | A spiking neuron model for binocular rivalry | Journal of Computational Neuroscience | 2002 | 306 |
25 | Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli | Network: Computation in Neural Systems | 2001 | 294 |
26 | Maximum likelihood estimation of cascade point-process neural encoding models | Network: Computation in Neural Systems | 2004 | 292 |
27 | Metric-space analysis of spike trains: theory, algorithms and application | Network: Computation in Neural Systems | 1997 | 290 |
28 | Natural image statistics and efficient coding | Network: Computation in Neural Systems | 1996 | 284 |
29 | Natural scene statistics at the centre of gaze | Network: Computation in Neural Systems | 1999 | 282 |
30 | A review of methods for spike sorting: the detection and classification of neural action potentials | Network: Computation in Neural Systems | 1998 | 282 |
31 | Could information theory provide an ecological theory of sensory processing? | Network: Computation in Neural Systems | 2011 | 281 |
32 | Two’s company, three (or more) is a simplex | Journal of Computational Neuroscience | 2016 | 279 |
33 | Analytical estimates of limited sampling biases in different information measures | Network: Computation in Neural Systems | 1996 | 262 |
34 | Local feature analysis: a general statistical theory for object representation | Network: Computation in Neural Systems | 1996 | 260 |
35 | Phasic norepinephrine: A neural interrupt signal for unexpected events | Network: Computation in Neural Systems | 2006 | 249 |
36 | What determines the capacity of autoassociative memories in the brain? | Network: Computation in Neural Systems | 1991 | 246 |
37 | Predicting spike timing of neocortical pyramidal neurons by simple threshold models | Journal of Computational Neuroscience | 2006 | 246 |
38 | Estimating the directed information to infer causal relationships in ensemble neural spike train recordings | Journal of Computational Neuroscience | 2011 | 245 |
39 | Mechanisms for oscillation and frequency control in reciprocally inhibitory model neural networks | Journal of Computational Neuroscience | 1994 | 243 |
40 | The development of topography in the visual cortex: a review of models | Network: Computation in Neural Systems | 1996 | 240 |
41 | (null) | Network: Computation in Neural Systems | 1996 | 239 |
42 | The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics | Journal of Computational Neuroscience | 2009 | 230 |
43 | Mean-field analysis of neuronal spike dynamics | Network: Computation in Neural Systems | 1993 | 228 |
44 | Dynamics of spiking neurons connected by both inhibitory and electrical coupling | Journal of Computational Neuroscience | 2003 | 228 |
45 | A spatially continuous mean field theory of electrocortical activity | Network: Computation in Neural Systems | 2002 | 225 |
46 | Characterizing the sparseness of neural codes | Network: Computation in Neural Systems | 2001 | 222 |
47 | The development of topography in the visual cortex: a review of models | Network: Computation in Neural Systems | 1996 | 216 |
48 | A coupled attractor model of the rodent head direction system | Network: Computation in Neural Systems | 1996 | 215 |
49 | Cliques and cavities in the human connectome | Journal of Computational Neuroscience | 2018 | 215 |
50 | Robust spectrotemporal reverse correlation for the auditory system: optimizing stimulus design | Journal of Computational Neuroscience | 2000 | 212 |
51 | Causal connectivity of evolved neural networks during behavior | Network: Computation in Neural Systems | 2005 | 211 |
52 | Maximum likelihood estimation of cascade point-process neural encoding models | Network: Computation in Neural Systems | 2004 | 210 |
53 | Quantitative study of attractor neural network retrieving at low spike rates: I. substrate—spikes, rates and neuronal gain | Network: Computation in Neural Systems | 1991 | 209 |
54 | Intrinsic dendritic filtering gives low-pass power spectra of local field potentials | Journal of Computational Neuroscience | 2010 | 208 |
55 | The principal components of natural images | Network: Computation in Neural Systems | 1992 | 194 |
56 | Entorhinal cortex grid cells can map to hippocampal place cells by competitive learning | Network: Computation in Neural Systems | 2006 | 193 |
57 | Self-sustained asynchronous irregular states and Up–Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons | Journal of Computational Neuroscience | 2009 | 193 |
58 | Point process models of single-neuron discharges | Journal of Computational Neuroscience | 1996 | 190 |
59 | On the simulation of large populations of neurons | Journal of Computational Neuroscience | 2000 | 189 |
60 | Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience | Journal of Computational Neuroscience | 2017 | 182 |
61 | Information flow and temporal coding in primate pattern vision | Journal of Computational Neuroscience | 1995 | 178 |
62 | Simulation of gamma rhythms in networks of interneurons and pyramidal cells | Journal of Computational Neuroscience | 1997 | 175 |
63 | Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer | Network: Computation in Neural Systems | 1994 | 173 |
64 | Balance between noise and adaptation in competition models of perceptual bistability | Journal of Computational Neuroscience | 2009 | 173 |
65 | Parallel network simulations with NEURON | Journal of Computational Neuroscience | 2006 | 170 |
66 | Synergy, redundancy, and multivariate information measures: an experimentalist’s perspective | Journal of Computational Neuroscience | 2014 | 170 |
67 | Dopamine modulation in the basal ganglia locks the gate to working memory | Journal of Computational Neuroscience | 2006 | 169 |
68 | Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli | Network: Computation in Neural Systems | 2001 | 169 |
69 | A new look at state-space models for neural data | Journal of Computational Neuroscience | 2010 | 165 |
70 | Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity | Journal of Computational Neuroscience | 2011 | 165 |
71 | Oscillations in Large-Scale Cortical Networks: Map-Based Model | Journal of Computational Neuroscience | 2004 | 161 |
72 | Rapid state switching in balanced cortical network models | Network: Computation in Neural Systems | 1995 | 160 |
73 | Estimating sparse spectro-temporal receptive fields with natural stimuli | Network: Computation in Neural Systems | 2007 | 160 |
74 | Frequency change detection in human auditory cortex | Journal of Computational Neuroscience | 1999 | 157 |
75 | Statistics of natural image categories | Network: Computation in Neural Systems | 2003 | 157 |
76 | A model of neocortex | Network: Computation in Neural Systems | 1995 | 155 |
77 | On directed information theory and Granger causality graphs | Journal of Computational Neuroscience | 2011 | 155 |
78 | A model for the neuronal implementation of selective visual attention based on temporal correlation among neurons | Journal of Computational Neuroscience | 1994 | 154 |
79 | Turning on and off with excitation: the role of spike-timing asynchrony and synchrony in sustained neural activity | Journal of Computational Neuroscience | 2001 | 153 |
80 | Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models | Journal of Computational Neuroscience | 1996 | 152 |
81 | Synchronization of strongly coupled excitatory neurons: relating network behavior to biophysics | Journal of Computational Neuroscience | 2003 | 152 |
82 | A novel approach to the detection of synchronisation in EEG based on empirical mode decomposition | Journal of Computational Neuroscience | 2007 | 149 |
83 | Redundancy reduction revisited | Network: Computation in Neural Systems | 2001 | 149 |
84 | An exact method to quantify the information transmitted by different mechanisms of correlational coding | Network: Computation in Neural Systems | 2003 | 147 |
85 | Chaos and synchrony in a model of a hypercolumn in visual cortex | Journal of Computational Neuroscience | 1996 | 146 |
86 | Independent component analysis applied to feature extraction from colour and stereo images | Network: Computation in Neural Systems | 2000 | 146 |
87 | A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields | Journal of Computational Neuroscience | 2007 | 146 |
88 | Associative memory in a network of ‘spiking’ neurons | Network: Computation in Neural Systems | 1992 | 143 |
89 | New roles for the gamma rhythm: population tuning and preprocessing for the Beta rhythm | Journal of Computational Neuroscience | 2003 | 139 |
90 | Information encoding and computation with spikes and bursts | Network: Computation in Neural Systems | 2003 | 139 |
91 | Dynamics of a recurrent network of spiking neurons before and following learning | Network: Computation in Neural Systems | 1997 | 134 |
92 | The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain | Network: Computation in Neural Systems | 1990 | 133 |
93 | Optimal ensemble averaging of neural networks | Network: Computation in Neural Systems | 1997 | 132 |
94 | Encoding Stimulus Information by Spike Numbers and Mean Response Time in Primary Auditory Cortex | Journal of Computational Neuroscience | 2005 | 130 |
95 | Rapid determination of particle velocity from space-time images using the Radon transform | Journal of Computational Neuroscience | 2010 | 129 |
96 | Simulating Hebb cell assemblies: the necessity for partitioned dendritic trees and a post-not-pre LTD rule | Network: Computation in Neural Systems | 1993 | 128 |
97 | Intracortical connectivity of pyramidal and stellate cells: estimates of synaptic densities and coupling symmetry | Network: Computation in Neural Systems | 1994 | 127 |
98 | Comparison of brain–computer interface decoding algorithms in open-loop and closed-loop control | Journal of Computational Neuroscience | 2010 | 127 |
99 | Improved measures of phase-coupling between spikes and the Local Field Potential | Journal of Computational Neuroscience | 2012 | 127 |
100 | Using extracellular action potential recordings to constrain compartmental models | Journal of Computational Neuroscience | 2007 | 126 |