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Modeling the function of episodic memory in spatial learning

Frontiers in psychology, 2023-04, Vol.14, p.1160648-1160648

2023

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Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approach

Scientific reports, 2021-02, Vol.11 (1), p.2713-2713, Article 2713

2021

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Correction: Gaussian-binary restricted Boltzmann machines for modeling natural image statistics

PloS one, 2017-03, Vol.12 (3), p.e0174289-e0174289

2017

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tachAId-An interactive tool supporting the design of human-centered AI solutions

Frontiers in artificial intelligence, 2024-03, Vol.7, p.1354114-1354114

2024

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A Tutorial on the Spectral Theory of Markov Chains

Neural computation, 2023-10, Vol.35 (11), p.1713-1796

2023

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Experience-Dependency of Reliance on Local Visual and Idiothetic Cues for Spatial Representations Created in the Absence of Distal Information

Frontiers in behavioral neuroscience, 2017-06, Vol.11, p.92-92

2017

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Cover Image, Volume 30, Issue 6

Hippocampus, 2020-06, Vol.30 (6)

2020

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Slowness as a Proxy for Temporal Predictability: An Empirical Comparison

Neural computation, 2018-05, Vol.30 (5), p.1151-1179

2018

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Improving sensory representations using episodic memory

Hippocampus, 2020-06, Vol.30 (6), p.638-656

2020

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Learning complex cell units from simulated prenatal retinal waves with slow feature analysis

BMC neuroscience, 2009-07, Vol.10 (S1), p.P129-P129, Article P129

2009

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Reinforcement learning on complex visual stimuli

BMC neuroscience, 2009-07, Vol.10 (S1), p.P90-P90, Article P90

2009

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Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning

Machine Learning, Optimization, and Data Science, 2022, Vol.13164, p.299-313

2022

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Spike-timing-dependent plasticity and temporal input statistics

BMC neuroscience, 2007-07, Vol.8 (S2), p.P86-P86, Article P86

2007

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A Model of Semantic Completion in Generative Episodic Memory

Neural computation, 2022-08, Vol.34 (9), p.1841-1870

2022

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Quantitative modeling of the dynamics of adult hippocampal neurogenesis in mice

BMC neuroscience, 2009-07, Vol.10 (S1), p.P335-P335, Article P335

2009

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Laplacian Matrix for Dimensionality Reduction and Clustering

Big Data Management and Analytics, 2020, Vol.390, p.93-119

2020

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Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning

Cognitive computation, 2024-09, Vol.16 (5), p.2358-2373

2024

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The Interaction between Semantic Representation and Episodic Memory

Neural computation, 2018-02, Vol.30 (2), p.293-332

2018

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Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics: e1004250

PLoS computational biology, 2015-05, Vol.11 (5)

2015

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Predictable Feature Analysis

Frontiers in computational neuroscience, 2012, Vol.6

Laurenz, Wiskott

2012

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Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation

IEEE transactions on image processing, 2013-07, Vol.22 (7), p.2737-2750

2013

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A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells

Neural computation, 2011-02, Vol.23 (2), p.305

2011

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Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells: e1003564

PLoS computational biology, 2014-05, Vol.10 (5)

2014

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Latent Representation Prediction Networks

International journal of pattern recognition and artificial intelligence, 2022-01, Vol.36 (1)

2022

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Spatial representations of place cells in darkness are supported by path integration and border information

Frontiers in behavioral neuroscience, 2014-06, Vol.8, p.222-222

2014

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Modeling the function of episodic memory in spatial learning

Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approach

Correction: Gaussian-binary restricted Boltzmann machines for modeling natural image statistics

tachAId-An interactive tool supporting the design of human-centered AI solutions

A Tutorial on the Spectral Theory of Markov Chains

Experience-Dependency of Reliance on Local Visual and Idiothetic Cues for Spatial Representations Created in the Absence of Distal Information

Cover Image, Volume 30, Issue 6

Slowness as a Proxy for Temporal Predictability: An Empirical Comparison

Improving sensory representations using episodic memory

Learning complex cell units from simulated prenatal retinal waves with slow feature analysis

Reinforcement learning on complex visual stimuli

Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning

Spike-timing-dependent plasticity and temporal input statistics

A Model of Semantic Completion in Generative Episodic Memory

Quantitative modeling of the dynamics of adult hippocampal neurogenesis in mice

Laplacian Matrix for Dimensionality Reduction and Clustering

Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning

The Interaction between Semantic Representation and Episodic Memory

Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics: e1004250

Predictable Feature Analysis

Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation

A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells

Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells: e1003564

Latent Representation Prediction Networks

Spatial representations of place cells in darkness are supported by path integration and border information

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