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Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis

eLife, 2016-03, Vol.5, p.e10094-e10094

2016

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Cell-Type-Specific Outcome Representation in the Primary Motor Cortex

Neuron (Cambridge, Mass.), 2020-09, Vol.107 (5), p.954-971.e9

2020

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Point process analysis of noise in early invertebrate vision

PLoS computational biology, 2017-10, Vol.13 (10), p.e1005687-e1005687

2017

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Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints

Neural computation, 2020-04, Vol.32 (4), p.794-828

2020

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Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration

Neural computation, 2009-05, Vol.21 (5), p.1277-1320

2009

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Error-based analysis of optimal tuning functions explains phenomena observed in sensory neurons

Frontiers in computational neuroscience, 2010, Vol.4, p.130-130

2010

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Explaining Patterns of Neural Activity in the Primary Motor Cortex Using Spinal Cord and Limb Biomechanics Models

Journal of neurophysiology, 2007-05, Vol.97 (5), p.3736-3750

2007

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History-dependent Dynamics in a Generic Model of Ion Channels - an Analytic Study

Frontiers in computational neuroscience, 2010, Vol.4

2010

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Lifelong learning and inductive bias

Current opinion in behavioral sciences, 2019-10, Vol.29, p.51-54

2019

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Identifying regulation with adversarial surrogates

Proceedings of the National Academy of Sciences - PNAS, 2023-03, Vol.120 (12), p.e2216805120

2023

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Selective adaptation in networks of heterogeneous populations: model, simulation, and experiment

PLoS computational biology, 2008-02, Vol.4 (2), p.e29-e29

2008

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The kernel recursive least-squares algorithm

IEEE transactions on signal processing, 2004-08, Vol.52 (8), p.2275-2285

2004

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Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed-Form Approximation

Neural computation, 2018-08, Vol.30 (8), p.2056-2112

2018

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From Graphs to Manifolds – Weak and Strong Pointwise Consistency of Graph Laplacians

Learning Theory, 2005, p.470-485

2005

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Analysis of the Identifying Regulation With Adversarial Surrogates Algorithm

IEEE control systems letters, 2024, Vol.8, p.592-597

2024

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Rank, Trace-Norm and Max-Norm

Learning Theory, 2005, p.545-560

2005

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Towards a Theoretical Foundation for Laplacian-Based Manifold Methods

Learning Theory, 2005, p.486-500

2005

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Poster 157: Calcific Tendonitis of the Gluteus Medius: Case Report

PM & R, 2010-09, Vol.2 (9), p.S73-S73

2010

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On the precarious path of reverse neuro-engineering

Frontiers in computational neuroscience, 2009-05, Vol.3, p.5-5

2009

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Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings

2005th edition, 2005

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Direct reinforcement learning, spike time dependent plasticity and the BCM rule

BMC neuroscience, 2007-07, Vol.8 (S2), p.P197-P197, Article P197

2007

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A bilinear formulation for vector sparsity optimization

Signal processing, 2008-02, Vol.88 (2), p.375-389

2008

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The neuron as a population of ion channels: the emergence of a stochastic and history dependent mode

Nature precedings, 2011-03

2011

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A model for simultaneous encoding of "where" and "what" information in prefrontal cortex

BMC neuroscience, 2009-07, Vol.10 (S1), p.P283-P283, Article P283

2009

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On Spectral Learning of Mixtures of Distributions

Learning Theory, 2005, p.458-469

2005

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Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis

Cell-Type-Specific Outcome Representation in the Primary Motor Cortex

Point process analysis of noise in early invertebrate vision

Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints

Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration

Error-based analysis of optimal tuning functions explains phenomena observed in sensory neurons

Explaining Patterns of Neural Activity in the Primary Motor Cortex Using Spinal Cord and Limb Biomechanics Models

History-dependent Dynamics in a Generic Model of Ion Channels - an Analytic Study

Lifelong learning and inductive bias

Identifying regulation with adversarial surrogates

Selective adaptation in networks of heterogeneous populations: model, simulation, and experiment

The kernel recursive least-squares algorithm

Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed-Form Approximation

From Graphs to Manifolds – Weak and Strong Pointwise Consistency of Graph Laplacians

Analysis of the Identifying Regulation With Adversarial Surrogates Algorithm

Rank, Trace-Norm and Max-Norm

Towards a Theoretical Foundation for Laplacian-Based Manifold Methods

Poster 157: Calcific Tendonitis of the Gluteus Medius: Case Report

On the precarious path of reverse neuro-engineering

Learning Theory: 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings

Direct reinforcement learning, spike time dependent plasticity and the BCM rule

A bilinear formulation for vector sparsity optimization

The neuron as a population of ion channels: the emergence of a stochastic and history dependent mode

A model for simultaneous encoding of "where" and "what" information in prefrontal cortex

On Spectral Learning of Mixtures of Distributions

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