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Sen Cheng

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Ruhr-Universität Bochum

Germany

Research Interests

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Professors in Germany Professors in Reinforcement Learning Reinforcement Learning professors in Germany

Recent Grants

Grant: Close

FOR 2812: Constructing Scenarios of the Past: A New Framework in Episodic Memory

Open Date: 2019-01-01

Close Date:

Grant: Close

SFB 1280: Extinction Learning

Open Date: 2017-01-01

Close Date:

Grant: Close

Modeling Context-Dependent Acquisition and Extinction Learning (A14)

Open Date: 2017-01-01

Close Date:

Grant: Close

Focus Group Learning Dynamics (F01)

Open Date: 2017-01-01

Close Date:

Grant: Close

SFB 874: Integration and Representation of Sensory Processes

Open Date: 2010-01-01

Close Date:

Articles (24)

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2022

Collaborators (4)

Denise Manahan‐Vaughan

Ruhr-Universität Bochum

GERMANY

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Tom Smulders

Reader in Evolutionary Neuroscience

Newcastle University

UNITED KINGDOM

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Karola Marky

Leibniz University Hannover

GERMANY

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Michael Nitsche

Technische Universität Dortmund

GERMANY

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ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Sen Cheng

Research Interests

Make your next move.

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Recent Grants

Articles (24)

A deep reinforcement learning account of competition and integration of visual and goal vector signals for spatial navigation

Human cerebellum and ventral tegmental area interact during extinction of learned fear

Causal and noncausal contributions to episodic memory: a computational perspective

Phase-tuned modulation during reward expectancy in human anterior insular cortex

Competition Between Memory Updating and Differentiation Emerges From Intrinsic Network Dynamics

Cerebellar Transcranial Alternating Current Stimulation in the Theta Band Prevents Recall of the Initial Fear Association After Extinction Training

Accounting for sensitivity of latent learning to behavioral statistics with successor representations

Correction: What is the nature of cache memory in Parids? A comment on Chettih et al. 2024

What is the nature of cache memory in Parids? A comment on Chettih et al. 2024

Investigating User Perceptions of Visualising Inferred Sensitive Information as Privacy Avatars

A taxonomy of spatial navigation in mammals

Appetitive and aversive classical conditioning: self-reports and physiological responses

Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model

The Cost of Behavioral Flexibility: Reversal Learning Driven by a Spiking Neural Network

Distinct mechanisms and functions of episodic memory

A multisession SLAM approach for RatSLAM

Learning to predict future locations with internally generated theta sequences

A map of spatial navigation for neuroscience

A model of hippocampal replay driven by experience and environmental structure facilitates spatial learning

A model of hippocampal replay driven by experience and environmental structure facilitates spatial learning

CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning

Learning shifts the preferred theta phase of gamma oscillations in <scp>CA1</scp>

Navigation task and action space drive the emergence of egocentric and allocentric spatial representations

xRatSLAM: An Extensible RatSLAM Computational Framework

Collaborators (4)

Denise Manahan‐Vaughan

Tom Smulders

Karola Marky

Michael Nitsche

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