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Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons.
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- Frontiers in Computational Neuroscience, 2017, p. 1, doi. 10.3389/fncom.2017.00052
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- Article
Spike-timing prediction in cortical neurons with active dendrites.
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- Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00090
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- Article
Spike-timing prediction in cortical neurons with active dendrites.
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- Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00090
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- Article
Stochastic variational learning in recurrent spiking networks.
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- Frontiers in Computational Neuroscience, 2014, v. 8, p. 1, doi. 10.3389/fncom.2014.00038
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- Article
One-shot learning and behavioral eligibility traces in sequential decision making.
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- eLife, 2019, p. 1, doi. 10.7554/eLife.47463
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- Article
Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network.
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- eLife, 2017, p. 1, doi. 10.7554/eLife.28295.001
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- Article
Extracting non-linear integrate-and-fire models from experimental data using dynamic I– V curves.
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- Biological Cybernetics, 2008, v. 99, n. 4/5, p. 361, doi. 10.1007/s00422-008-0259-4
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- Article
The quantitative single-neuron modeling competition.
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- Biological Cybernetics, 2008, v. 99, n. 4/5, p. 417, doi. 10.1007/s00422-008-0261-x
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- Article
Firing patterns in the adaptive exponential integrate-and-fire model.
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- Biological Cybernetics, 2008, v. 99, n. 4/5, p. 335, doi. 10.1007/s00422-008-0264-7
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- Article
Special issue on quantitative neuron modeling.
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- 2008
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- Publication type:
- Editorial
Phenomenological models of synaptic plasticity based on spike timing.
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- Biological Cybernetics, 2008, v. 98, n. 6, p. 459, doi. 10.1007/s00422-008-0233-1
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- Article
Mathematical formulations of Hebbian learning.
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- Biological Cybernetics, 2002, v. 87, n. 5/6, p. 404, doi. 10.1007/s00422-002-0353-y
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- Article
Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity.
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- Biological Cybernetics, 2000, v. 83, n. 3, p. 287, doi. 10.1007/s004220000171
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- Article
Computational models of episodic-like memory in food-caching birds.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-38570-x
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- Article
The Silent Period of Evidence Integration in Fast Decision Making.
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- PLoS ONE, 2013, v. 8, n. 1, p. 1, doi. 10.1371/journal.pone.0046525
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- Article
A functional model of adult dentate gyrus neurogenesis.
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- eLife, 2021, p. 1, doi. 10.7554/eLife.66463
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- Article
Limits to high-speed simulations of spiking neural networks using general-purpose computers.
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- Frontiers in Psychology, 2015, p. 1, doi. 10.3389/fninf.2014.00076
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- Publication type:
- Article
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules.
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- Frontiers in Neural Circuits, 2016, p. 1, doi. 10.3389/fncir.2015.00085
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- Article
Neuromodulated Spike-Timing-Dependent Plasticity and Theory of Three-Factor Learning Rules.
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- Frontiers in Neural Circuits, 2015, v. 9, p. 1
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- Article
Inference of neuronal network spike dynamics and topology from calcium imaging data.
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- Frontiers in Neural Circuits, 2013, v. 7, p. 1, doi. 10.3389/fncir.2013.00201
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- Article
Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity.
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- Journal of Neuroscience, 2006, v. 26, n. 38, p. 1
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- Article
A model of perceptual discrimination under sequential sensory evidence.
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- 2013
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- Abstract
Modulation of a decision-making process by spatiotemporal spike patterns decoding: evidence from spike-train metrics analysis and spiking neural network modeling.
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- 2013
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- Abstract
The influence of structure on the response properties of biologically plausible neural network models.
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- 2011
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- Abstract
Efficient modeling of neural activity using coupled renewal processes.
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- 2011
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- Abstract
Synaptic tagging and capture: a bridge from molecular to behaviour.
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- 2011
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- Abstract
Fast and richly structured activity in cortical networks with local inhibition.
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- 2011
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- Abstract
Plasticity and stability in recurrent neural networks.
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- 2011
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- Abstract
General conditions for spiking neurons and plasticity rules to perform independent component analysis.
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- 2011
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- Abstract
Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms.
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- 2011
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- Abstract
Spike-timing prediction in a neuron model with active dendrites.
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- BMC Neuroscience, 2009, v. 10, p. 1, doi. 10.1186/1471-2202-10-S1-P29
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- Article
Modeling plasticity across different time scales: the TagTriC model.
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- BMC Neuroscience, 2009, v. 10, p. 1, doi. 10.1186/1471-2202-10-S1-P192
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- Article
Spike-based reinforcement learning of navigation.
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- BMC Neuroscience, 2008, v. 9, p. 1, doi. 10.1186/1471-2202-9-S1-P72
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- Article
An online Hebbian learning rule that performs independent component analysis.
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- BMC Neuroscience, 2008, v. 9, p. 1, doi. 10.1186/1471-2202-9-S1-O13
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- Article
Predicting neuronal activity with an adaptive exponential integrate-and-fire model.
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- 2007
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- Publication type:
- Abstract
When shared concept cells support associations: Theory of overlapping memory engrams.
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- PLoS Computational Biology, 2021, v. 17, n. 12, p. 1, doi. 10.1371/journal.pcbi.1009691
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- Article
Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity.
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- Journal of Mathematical Neuroscience, 2020, v. 10, n. 1, p. 1, doi. 10.1186/s13408-020-00082-z
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- Article
A Model of Synaptic Reconsolidation.
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- Frontiers in Neuroscience, 2016, p. 1, doi. 10.3389/fnins.2016.00206
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- Article
Reward-based learning under hardware constraints - using a RISC processor embedded in a neuromorphic substrate.
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- Frontiers in Neuroscience, 2013, v. 7, p. 1, doi. 10.3389/fnins.2013.00160
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- Article
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.
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- PLoS Computational Biology, 2015, v. 11, n. 6, p. 1, doi. 10.1371/journal.pcbi.1004275
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- Article
Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector.
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- PLoS Computational Biology, 2013, v. 9, n. 11, p. 1, doi. 10.1371/journal.pcbi.1003330
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- Article
Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons.
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- PLoS Computational Biology, 2013, v. 9, n. 4, p. 1, doi. 10.1371/journal.pcbi.1003024
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- Article
Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram.
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- PLoS Computational Biology, 2012, v. 8, n. 10, p. 1, doi. 10.1371/journal.pcbi.1002711
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- Article
Paradoxical Evidence Integration in Rapid Decision Processes.
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- PLoS Computational Biology, 2012, v. 8, n. 2, p. 1, doi. 10.1371/journal.pcbi.1002382
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- Article
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail.
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- PLoS Computational Biology, 2009, v. 5, n. 12, p. 1, doi. 10.1371/journal.pcbi.1000586
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- Article
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression.
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- PLoS Computational Biology, 2008, v. 4, n. 12, p. 1, doi. 10.1371/journal.pcbi.1000248
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- Article
Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks.
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- Nature Communications, 2015, v. 6, n. 4, p. 6922, doi. 10.1038/ncomms7922
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- Article
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making.
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- PLoS Computational Biology, 2021, v. 17, n. 6, p. 1, doi. 10.1371/journal.pcbi.1009070
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- Article
Multicontact Co-operativity in Spike-Timing-Dependent Structural Plasticity Stabilizes Networks.
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- Cerebral Cortex, 2018, v. 28, n. 4, p. 1396, doi. 10.1093/cercor/bhx339
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- Article
Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model.
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- Frontiers in Computational Neuroscience, 2019, v. 13, p. 1, doi. 10.3389/fncom.2019.00078
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- Publication type:
- Article