Claudia Clopath

According to our database1, Claudia Clopath authored at least 33 papers between 2007 and 2022.

Collaborative distances:



In proceedings 
PhD thesis 




AI for the Social Good (Dagstuhl Seminar 22091).
Dagstuhl Reports, 2022

When Does Re-initialization Work?
CoRR, 2022

Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation.
Proceedings of the International Conference on Machine Learning, 2022

Separable actions of acetylcholine and noradrenaline on neuronal ensemble formation in hippocampal CA3 circuits.
PLoS Comput. Biol., 2021

Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons.
PLoS Comput. Biol., 2021

Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.
PLoS Comput. Biol., 2021

Neural manifold under plasticity in a goal driven learning behaviour.
PLoS Comput. Biol., 2021

The functional role of sequentially neuromodulated synaptic plasticity in behavioural learning.
PLoS Comput. Biol., 2021

A study on the plasticity of neural networks.
CoRR, 2021

CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
CoRR, 2021

Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective.
Proceedings of the 38th International Conference on Machine Learning, 2021

The interplay between somatic and dendritic inhibition promotes the emergence and stabilization of place fields.
PLoS Comput. Biol., 2020

Learning spatiotemporal signals using a recurrent spiking network that discretizes time.
PLoS Comput. Biol., 2020

Continual Reinforcement Learning with Multi-Timescale Replay.
CoRR, 2020

Synaptic plasticity onto inhibitory neurons as a mechanism for ocular dominance plasticity.
PLoS Comput. Biol., 2019

AI for the Social Good (Dagstuhl Seminar 19082).
Dagstuhl Reports, 2019

Deep Reinforcement Learning for Subpixel Neural Tracking.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Image Synthesis with a Convolutional Capsule Generative Adversarial Network.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Policy Consolidation for Continual Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Gap junction plasticity as a mechanism to regulate network-wide oscillations.
PLoS Comput. Biol., 2018

A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications.
CoRR, 2018

Continual Reinforcement Learning with Complex Synapses.
Proceedings of the 35th International Conference on Machine Learning, 2018

From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction.
PLoS Comput. Biol., 2017

Local inhibitory plasticity tunes macroscopic brain dynamics and allows the emergence of functional brain networks.
NeuroImage, 2016

Overcoming catastrophic forgetting in neural networks.
CoRR, 2016

Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity.
PLoS Comput. Biol., 2015

Long-Term Plasticity, Biophysical Models.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Optimal Properties of Analog Perceptrons with Excitatory Weights.
PLoS Comput. Biol., 2013

Storage of Correlated Patterns in Standard and Bistable Purkinje Cell Models.
PLoS Comput. Biol., 2012

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression.
PLoS Comput. Biol., 2008

Firing patterns in the adaptive exponential integrate-and-fire model.
Biol. Cybern., 2008

Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments.
Neurocomputing, 2007

An online Hebbian learning rule that performs Independent Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007