Wulfram Gerstner
18 papers · 2006–2024 · 2 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
π
Academic Marathon
(18)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(21)
π±
Topic Pioneer
π
Keyword Champion
π§¬
Topic Evolution
π
Century Club
(18)
ποΈ
Keyword Collector
(55)
π
Trend Setter
π₯
Unstoppable
(6)
π
Conference Pioneer
β
The Questioner
(2)
Conferences
NIPS (14)
ICML (4)
Top co-authors
Keywords
spiking neural network
(6)
reinforcement learning
(3)
cognitive modeling
(2)
stress effects
(2)
learning rate
(2)
meta-parameters
(2)
neural network
(2)
recurrent network
(2)
hebbian learning
(2)
generalized linear model
(2)
online learning
(1)
signal separation
(1)
independent component analysis
(1)
neural dynamics
(1)
state abstraction
(1)
spike prediction
(1)
variational inference
(1)
sample efficiency
(1)
genetic factors
(1)
motor control
(1)
Papers
Expand-and-Cluster: Parameter Recovery of Neural Networks
ICML 2024
Should Under-parameterized Student Networks Copy or Average Teacher Weights?
NIPS 2023
Trial matching: capturing variability with data-constrained spiking neural networks
NIPS 2023
Mesoscopic modeling of hidden spiking neurons
NIPS 2022
Kernel Memory Networks: A Unifying Framework for Memory Modeling
NIPS 2022
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
NIPS 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator
NIPS 2021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
ICML 2021
Non-linear motor control by local learning in spiking neural networks
ICML 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
ICML 2018
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Mazeβlike Environments
NIPS 2015
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
NIPS 2011
Variational Learning for Recurrent Spiking Networks
NIPS 2011
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
NIPS 2010
Code-specific policy gradient rules for spiking neurons
NIPS 2009
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning
NIPS 2008
An online Hebbian learning rule that performs Independent Component Analysis
NIPS 2007
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning
NIPS 2006