High-performance deep spiking neural networks with 0.3 spikes per neuron.
- Published in:
- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-51110-5
- By:
- Publication type:
- Article
Works by Gerstner, Wulfram
Results: 73
1
2
Synaptic Consolidation: From Synapses to Behavioral Modeling.
- Published in:
- Journal of Neuroscience, 2015, v. 35, n. 3, p. 1319, doi. 10.1523/JNEUROSCI.3989-14.2015
- By:
- Publication type:
- Article
3
Noise spectrum and signal transmission through a population of spiking neurons.
- Published in:
- Network: Computation in Neural Systems, 1999, v. 10, n. 3, p. 257, doi. 10.1088/0954-898X_10_3_304
- By:
- Publication type:
- Article
4
Associative memory in a network of 'spiking' neurons.
- Published in:
- Network: Computation in Neural Systems, 1992, v. 3, n. 2, p. 139, doi. 10.1088/0954-898X_3_2_004
- By:
- Publication type:
- Article
5
Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity.
- Published in:
- Journal of Neuroscience, 2006, v. 26, n. 38, p. 1
- By:
- Publication type:
- Article
6
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.
- Published in:
- PLoS Computational Biology, 2017, v. 13, n. 4, p. 1, doi. 10.1371/journal.pcbi.1005507
- By:
- Publication type:
- Article
7
Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation.
- Published in:
- PLoS Computational Biology, 2016, v. 12, n. 9, p. 1, doi. 10.1371/journal.pcbi.1005070
- By:
- Publication type:
- Article
8
A functional model of adult dentate gyrus neurogenesis.
- Published in:
- eLife, 2021, p. 1, doi. 10.7554/eLife.66463
- By:
- Publication type:
- Article
9
Mathematical formulations of Hebbian learning.
- Published in:
- Biological Cybernetics, 2002, v. 87, n. 5/6, p. 404, doi. 10.1007/s00422-002-0353-y
- By:
- Publication type:
- Article
10
Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity.
- Published in:
- Biological Cybernetics, 2000, v. 83, n. 3, p. 287, doi. 10.1007/s004220000171
- By:
- Publication type:
- Article
11
Computational models of episodic-like memory in food-caching birds.
- Published in:
- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-38570-x
- By:
- Publication type:
- Article
12
Spike-timing prediction in cortical neurons with active dendrites.
- Published in:
- Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00090
- By:
- Publication type:
- Article
13
Spike-timing prediction in cortical neurons with active dendrites.
- Published in:
- Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00090
- By:
- Publication type:
- Article
14
Stochastic variational learning in recurrent spiking networks.
- Published in:
- Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00038
- By:
- Publication type:
- Article
15
Phenomenological models of synaptic plasticity based on spike timing.
- Published in:
- Biological Cybernetics, 2008, v. 98, n. 6, p. 459, doi. 10.1007/s00422-008-0233-1
- By:
- Publication type:
- Article
16
Extracting non-linear integrate-and-fire models from experimental data using dynamic I– V curves.
- Published in:
- Biological Cybernetics, 2008, v. 99, n. 4/5, p. 361, doi. 10.1007/s00422-008-0259-4
- By:
- Publication type:
- Article
17
The quantitative single-neuron modeling competition.
- Published in:
- Biological Cybernetics, 2008, v. 99, n. 4/5, p. 417, doi. 10.1007/s00422-008-0261-x
- By:
- Publication type:
- Article
18
Firing patterns in the adaptive exponential integrate-and-fire model.
- Published in:
- Biological Cybernetics, 2008, v. 99, n. 4/5, p. 335, doi. 10.1007/s00422-008-0264-7
- By:
- Publication type:
- Article
19
Special issue on quantitative neuron modeling.
- Published in:
- 2008
- By:
- Publication type:
- Editorial
20
Temporal whitening by power-law adaptation in neocortical neurons.
- Published in:
- Nature Neuroscience, 2013, v. 16, n. 7, p. 942, doi. 10.1038/nn.3431
- By:
- Publication type:
- Article
21
Connectivity reflects coding: a model of voltage-based STDP with homeostasis.
- Published in:
- Nature Neuroscience, 2010, v. 13, n. 3, p. 344, doi. 10.1038/nn.2479
- By:
- Publication type:
- Article
22
Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning.
- Published in:
- Nature Neuroscience, 2009, v. 12, n. 9, p. 1180, doi. 10.1038/nn.2374
- By:
- Publication type:
- Article
23
Limits to high-speed simulations of spiking neural networks using general-purpose computers.
- Published in:
- Frontiers in Neuroinformatics, 2014, v. 8, p. 1, doi. 10.3389/fninf.2014.00076
- By:
- Publication type:
- Article
24
Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory.
- Published in:
- Frontiers in Computational Neuroscience, 2018, p. N.PAG, doi. 10.3389/fncom.2018.00050
- By:
- Publication type:
- Article
25
Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons.
- Published in:
- Frontiers in Computational Neuroscience, 2017, p. 1, doi. 10.3389/fncom.2017.00052
- By:
- Publication type:
- Article
26
A Model of Synaptic Reconsolidation.
- Published in:
- Frontiers in Neuroscience, 2016, p. 1, doi. 10.3389/fnins.2016.00206
- By:
- Publication type:
- Article
27
When shared concept cells support associations: Theory of overlapping memory engrams.
- Published in:
- PLoS Computational Biology, 2021, v. 17, n. 12, p. 1, doi. 10.1371/journal.pcbi.1009691
- By:
- Publication type:
- Article
28
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making.
- Published in:
- PLoS Computational Biology, 2021, v. 17, n. 6, p. 1, doi. 10.1371/journal.pcbi.1009070
- By:
- Publication type:
- Article
29
A neuronal learning rule for sub-millisecond temporal coding.
- Published in:
- Nature, 1996, v. 383, n. 6595, p. 76, doi. 10.1038/383076a0
- By:
- Publication type:
- Article
30
Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks.
- Published in:
- Nature Communications, 2015, v. 6, n. 4, p. 6922, doi. 10.1038/ncomms7922
- By:
- Publication type:
- Article
31
Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity.
- Published in:
- Journal of Mathematical Neuroscience, 2020, v. 10, n. 1, p. 1, doi. 10.1186/s13408-020-00082-z
- By:
- Publication type:
- Article
32
Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model.
- Published in:
- Frontiers in Computational Neuroscience, 2019, v. 13, p. 1, doi. 10.3389/fncom.2019.00078
- By:
- Publication type:
- Article
33
Reward-based learning under hardware constraints - using a RISC processor embedded in a neuromorphic substrate.
- Published in:
- Frontiers in Neuroscience, 2013, v. 7, p. 1, doi. 10.3389/fnins.2013.00160
- By:
- Publication type:
- Article
34
A model of perceptual discrimination under sequential sensory evidence.
- Published in:
- 2013
- By:
- Publication type:
- Abstract
35
Modulation of a decision-making process by spatiotemporal spike patterns decoding: evidence from spike-train metrics analysis and spiking neural network modeling.
- Published in:
- 2013
- By:
- Publication type:
- Abstract
36
The influence of structure on the response properties of biologically plausible neural network models.
- Published in:
- 2011
- By:
- Publication type:
- Abstract
37
General conditions for spiking neurons and plasticity rules to perform independent component analysis.
- Published in:
- 2011
- By:
- Publication type:
- Abstract
38
Efficient modeling of neural activity using coupled renewal processes.
- Published in:
- 2011
- By:
- Publication type:
- Abstract
39
Synaptic tagging and capture: a bridge from molecular to behaviour.
- Published in:
- 2011
- By:
- Publication type:
- Abstract
40
Fast and richly structured activity in cortical networks with local inhibition.
- Published in:
- 2011
- By:
- Publication type:
- Abstract
41
Plasticity and stability in recurrent neural networks.
- Published in:
- 2011
- By:
- Publication type:
- Abstract
42
Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms.
- Published in:
- 2011
- By:
- Publication type:
- Abstract
43
Spike-timing prediction in a neuron model with active dendrites.
- Published in:
- BMC Neuroscience, 2009, v. 10, p. 1, doi. 10.1186/1471-2202-10-S1-P29
- By:
- Publication type:
- Article
44
Modeling plasticity across different time scales: the TagTriC model.
- Published in:
- BMC Neuroscience, 2009, v. 10, p. 1, doi. 10.1186/1471-2202-10-S1-P192
- By:
- Publication type:
- Article
45
Spike-based reinforcement learning of navigation.
- Published in:
- BMC Neuroscience, 2008, v. 9, p. 1, doi. 10.1186/1471-2202-9-S1-P72
- By:
- Publication type:
- Article
46
An online Hebbian learning rule that performs independent component analysis.
- Published in:
- BMC Neuroscience, 2008, v. 9, p. 1, doi. 10.1186/1471-2202-9-S1-O13
- By:
- Publication type:
- Article
47
Predicting neuronal activity with an adaptive exponential integrate-and-fire model.
- Published in:
- 2007
- By:
- Publication type:
- Abstract
48
Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons.
- Published in:
- PLoS Computational Biology, 2016, v. 12, n. 2, p. 1, doi. 10.1371/journal.pcbi.1004761
- By:
- Publication type:
- Article
49
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.
- Published in:
- PLoS Computational Biology, 2015, v. 11, n. 6, p. 1, doi. 10.1371/journal.pcbi.1004275
- By:
- Publication type:
- Article
50
Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector.
- Published in:
- PLoS Computational Biology, 2013, v. 9, n. 11, p. 1, doi. 10.1371/journal.pcbi.1003330
- By:
- Publication type:
- Article