Claudia Clopath

Q: What Schools Are Affiliated With Claudia Clopath

Claudia Clopath is affiliated with the following schools: University of California, Berkeley, Imperial College London, École Polytechnique Fédérale de Lausanne, Paris Diderot University

Claudia Clopath's AcademicInfluence.com Rankings

Claudia Clopath

Biology

#13883

World Rank

#17480

Historical Rank

Neuroscience

#2427

World Rank

#2492

Historical Rank

biology Degrees

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Biology

Why Is Claudia Clopath Influential?

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According to Wikipedia, Claudia Clopath is a Professor of Computational Neuroscience at Imperial College London and research leader at the Sainsbury Wellcome Centre for Neural Circuits and Behaviour. She develops mathematical models to predict synaptic plasticity for both medical applications and the design of human-like machines.

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Claudia Clopath's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Overcoming catastrophic forgetting in neural networks (2016) (3772)
Connectivity reflects coding: a model of voltage-based STDP with homeostasis (2010) (571)
Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks (2011) (562)
A deep learning framework for neuroscience (2019) (509)
The emergence of functional microcircuits in visual cortex (2013) (364)
Firing patterns in the adaptive exponential integrate-and-fire model (2008) (285)
A triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations (2011) (163)
Supervised learning in spiking neural networks with FORCE training (2016) (148)
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression (2008) (135)
Voltage and Spike Timing Interact in STDP – A Unified Model (2010) (114)
AI for social good: unlocking the opportunity for positive impact (2020) (92)
Activity-Dependent Downscaling of Subthreshold Synaptic Inputs during Slow-Wave-Sleep-like Activity In Vivo (2018) (90)
Variance and invariance of neuronal long-term representations (2017) (89)
Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks (2017) (88)
Deprivation-Induced Homeostatic Spine Scaling In Vivo Is Localized to Dendritic Branches that Have Undergone Recent Spine Loss (2017) (82)
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments (2007) (75)
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level (2017) (72)
Interneuron-specific plasticity at parvalbumin and somatostatin inhibitory synapses onto CA1 pyramidal neurons shapes hippocampal output (2019) (72)
25th Annual Computational Neuroscience Meeting: CNS-2016 (2016) (71)
Continual Reinforcement Learning with Complex Synapses (2018) (69)
Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation (2017) (67)
Local inhibitory plasticity tunes macroscopic brain dynamics and allows the emergence of functional brain networks (2016) (65)
A Cerebellar Learning Model of Vestibulo-Ocular Reflex Adaptation in Wild-Type and Mutant Mice (2014) (53)
Inhibitory stabilization and cortical computation (2020) (51)
Synaptic consolidation: an approach to long-term learning (2012) (48)
Gap junction plasticity as a mechanism to regulate network-wide oscillations (2017) (42)
Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance (2014) (42)
Storage of Correlated Patterns in Standard and Bistable Purkinje Cell Models (2012) (40)
A diversity of interneurons and Hebbian plasticity facilitate rapid compressible learning in the hippocampus (2019) (37)
Inhibitory microcircuits for top-down plasticity of sensory representations (2018) (36)
Learning spatiotemporal signals using a recurrent spiking network that discretizes time (2019) (34)
Cerebellar learning using perturbations (2016) (32)
Optimal Properties of Analog Perceptrons with Excitatory Weights (2013) (31)
Acetylcholine-modulated plasticity in reward-driven navigation: a computational study (2017) (31)
Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity (2015) (31)
Policy Consolidation for Continual Reinforcement Learning (2019) (30)
Local circuit amplification of spatial selectivity in the hippocampus (2021) (30)
Audio-visual experience strengthens multisensory assemblies in adult mouse visual cortex (2019) (28)
Receptive field formation by interacting excitatory and inhibitory synaptic plasticity (2016) (27)
Unifying Long-Term Plasticity Rules for Excitatory Synapses by Modeling Dendrites of Cortical Pyramidal Neurons (2019) (26)
Neural manifold under plasticity in a goal driven learning behaviour (2020) (25)
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective (2021) (24)
Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis (2009) (23)
ON-OFF receptive fields in auditory cortex diverge during development and contribute to directional sweep selectivity (2018) (23)
Patterned perturbation of inhibition can reveal the dynamical structure of neural processing (2020) (23)
Modelling plasticity in dendrites: from single cells to networks (2017) (23)
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution (2022) (22)
Image Synthesis with a Convolutional Capsule Generative Adversarial Network (2018) (22)
A rapid and efficient learning rule for biological neural circuits (2021) (21)
Population coupling predicts the plasticity of stimulus responses in cortical circuits (2018) (21)
Learning and attention increase visual response selectivity through distinct mechanisms (2021) (21)
Theory of neuronal perturbome in cortical networks (2020) (21)
The Role of Neuromodulators in Cortical Plasticity. A Computational Perspective (2017) (21)
Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments (2016) (19)
Detection of axonal synapses in 3D two-photon images (2017) (17)
From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction (2017) (16)
An online Hebbian learning rule that performs independent component analysis (2007) (15)
Cortical credit assignment by Hebbian, neuromodulatory and inhibitory plasticity. (2019) (14)
Size-Dependent Axonal Bouton Dynamics following Visual Deprivation In Vivo (2018) (13)
Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks (2021) (12)
Reply to Huszár: The elastic weight consolidation penalty is empirically valid (2018) (12)
Deep Reinforcement Learning for Subpixel Neural Tracking (2018) (12)
The dendritic spatial code: branch-specific place tuning and its experience-dependent decoupling (2020) (11)
The interplay between somatic and dendritic inhibition promotes the emergence and stabilization of place fields (2018) (10)
Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation (2020) (9)
Synaptic plasticity onto inhibitory neurons as a mechanism for ocular dominance plasticity (2018) (9)
Processing of Feature Selectivity in Cortical Networks with Specific Connectivity (2015) (9)
Prediction-error neurons in circuits with multiple neuron types: Formation, refinement, and functional implications (2021) (9)
The Psychometrics of Automatic Speech Recognition (2021) (7)
Contribution of behavioural variability to representational drift (2022) (7)
Continual Reinforcement Learning with Multi-Timescale Replay (2020) (7)
Catalyzing next-generation Artificial Intelligence through NeuroAI (2023) (6)
Small, correlated changes in synaptic connectivity may facilitate rapid motor learning (2021) (6)
Emergent spatial synaptic structure from diffusive plasticity (2017) (6)
A cerebellar learning model that reproduces the behavior of vestibulo-ocular reflex adaptation in wild-type and knock-out mice (2013) (6)
Network-centered homeostasis through inhibition maintains hippocampal spatial map and cortical circuit function (2020) (6)
Dopamine and serotonin interplay for valence-based spatial learning (2021) (6)
Chaos in homeostatically regulated neural systems. (2018) (6)
Diverse homeostatic responses to visual deprivation by uncovering recurrent subnetworks (2018) (4)
Voltage-based inhibitory synaptic plasticity: network regulation, diversity, and flexibility (2020) (4)
A tale of two transmitters: serotonin and histamine as in vivo biomarkers of chronic stress in mice (2021) (4)
CCN GAC Workshop: Issues with learning in biological recurrent neural networks (2021) (4)
Neuronal activity in sensory cortex predicts the specificity of learning in mice (2022) (4)
Learning predictive cognitive maps with spiking neurons during behavior and replays (2021) (4)
Action prediction error: a value-free dopaminergic teaching signal that drives stable learning (2022) (4)
Dimensionality and flexibility of learning in biological recurrent neural networks (2020) (3)
RatInABox: A toolkit for modelling locomotion and neuronal activity in continuous environments (2022) (3)
Separable actions of acetylcholine and noradrenaline on neuronal ensemble formation in hippocampal CA3 circuits (2021) (3)
Local inhibitory plasticity tunes global brain dynamics and allows the emergence of functional brain networks (2014) (3)
Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons (2020) (3)
Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity (2021) (3)
Extending the tempotron with hierarchical dendrites allows faster learning (2015) (2)
Inhibitory plasticity balances excitation and inhibition in sensory processing and Hebbian assemblies (2011) (2)
Transient and layer-specific reduction in neocortical PV inhibition during sensory association learning (2020) (2)
When Does Re-initialization Work? (2022) (2)
From recency to central tendency biases in working memory: a unifying network model (2023) (2)
Theory of Neuronal Perturbome: Linking Connectivity to Coding via Perturbations (2020) (2)
On the distribution and function of synaptic clusters in dendrites (2017) (2)
The functional role of sequentially neuromodulated synaptic plasticity in behavioural learning (2021) (2)
Free recall scaling laws and short-term memory effects in a latching attractor network (2020) (2)
Dynamic and selective engrams emerge with memory consolidation (2022) (2)
Author response: Cerebellar learning using perturbations (2018) (1)
The contribution of subthreshold preference in inhibitory neurons to network response (2015) (1)
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications (2018) (1)
Synaptic clustering or scattering? Insight from a model of synaptic plasticity in dendrites (2015) (1)
Attentional modulation is orthogonal to disinhibition by VIP interneurons in primary visual cortex (2023) (1)
A unified voltage-based model for STDP, LTP and LTD (2008) (1)
Acetylcholine reconfigures hippocampal circuits to enable rapid formation of overlapping memory ensembles (2017) (1)
Dendrites help mitigate the plasticity-stability dilemma (2023) (1)
Long- and short-term history effects in a spiking network model of statistical learning (2021) (1)
Extending the tempotron with hierarchical dendrites allows faster learning (2015) (1)
Intrinsic neural excitability induces time-dependent overlap of memory engrams (2022) (1)
A study on the plasticity of neural networks (2021) (1)
Synaptic plasticity across different time scales and its functional implications (2009) (1)
Stability by gating plasticity in recurrent neural networks (2020) (1)
Author response: Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation (2017) (1)
The Dance of the Interneurons: How Inhibition Facilitates Fast Compressible and Reversible Learning in Hippocampus (2018) (1)
Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation (2022) (1)
Postsynaptic burst reactivation of hippocampal neurons enables associative plasticity of temporally discontiguous inputs (2022) (1)
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation (2022) (1)
Beyond spike-timing-dependent plasticity: a computational study of plasticity gradients across basal dendrites (2016) (1)
Neuronal activity in sensory cortex predicts the specificity of learning in mice (2020) (1)
Learning to Express Reward Prediction Error-like Dopaminergic Activity Requires Plastic Representations of Time (2023) (0)
A Unifying Framework for Neuro-Inspired, Data-Driven Detection of Low-Level Auditory Features (2019) (0)
Long-Term Plasticity, Biophysical Models (2014) (0)
Feedback-based motor control can guide plasticity and drive rapid learning (2022) (0)
Inhibitory stabilization and cortical computation (2020) (0)
Author response: Patterned perturbation of inhibition can reveal the dynamical structure of neural processing (2020) (0)
Correction: Processing of Feature Selectivity in Cortical Networks with Specific Connectivity (2015) (0)
Drift of neural ensembles driven by slow fluctuations of intrinsic excitability (2023) (0)
AI for the Social Good (Dagstuhl Seminar 19082) (2019) (0)
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level (2017) (0)
Learning and Expression of Dopaminergic Reward Prediction Error via Plastic Representations of Time (2022) (0)
Balanced activation in a simple embodied neural simulation (2016) (0)
The contribution of subthreshold preference in inhibitory neurons to network response (2015) (0)
Predicting neuronal activity with an adaptive exponential integrate-and-fire model (2007) (0)
Excitatory to inhibitory connectivity shaped by synaptic and homeostatic plasticity (2015) (0)
Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece (2021) (0)
Title: Dimensionality and flexibility of learning in biological recurrent neural networks Scientific Question: Does full-rank gradient descent accurately describe the dynamics of synaptic plasticity in biological recurrent neural networks? Core Collaborators: Senior: (0)
25th Annual Computational Neuroscience Meeting: CNS-2016 (2016) (0)
Disk-Drive-Like Operations in the Hippocampus (2022) (0)
Synaptic consolidation: an approach to long-term learning (2011) (0)
Inhibitory plasticity in networks with dendrites and networks without dendrites (2023) (0)
AI for the Social Good (Dagstuhl Seminar 22091) (2022) (0)
Supervised learning in spiking neural networks with FORCE training (2017) (0)
Local circuit amplification of spatial selectivity in the hippocampus (2021) (0)
Consolidation for Continual Reinforcement Learning (2019) (0)
A cerebellar learning model that reproduces the behavior of vestibulo-ocular reflex adaptation in wild-type and knock-out mice (2013) (0)
Latent Representations in Hippocampal Network Model Co-Evolve with Behavioral Exploration of Task Structure (2023) (0)
Does the Zebra Finch Mating Song Circuit Use Spike Times Efficiently? (2021) (0)
Multi-synaptic boutons are a feature of CA1 hippocampal connections in the stratum oriens. (2023) (0)
Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks (2017) (0)
A tale of two transmitters: serotonin and histamine as in vivo biomarkers of chronic stress in mice (2022) (0)
Embedding stochastic dynamics of the environment in spontaneous activity by prediction-based plasticity (2023) (0)
Synaptic weights that correlate with presynaptic selectivity increase decoding performance (2022) (0)
Gap junction plasticity can lead to spindle oscillations (2017) (0)
Title: a Triplet Model of Spike-timing Dependent Plasticity Generalizes the Bcm Rule to Spatio- Temporal Inputs (2011) (0)
ON-OFF receptive fields in auditory cortex diverge during development and contribute to directional sweep selectivity (2018) (0)
Modeling plasticity across different time scales: the TagTriC model (2009) (0)
Motor Learning? Saccade the Cerebellum: A Vectorial Error Signal for Complex Spike Activity in the Oculomotor Vermis of (2015) (0)
Excitatory to inhibitory connectivity shaped by synaptic and homeostatic plasticity (2015) (0)
Multi-synaptic boutons are a feature of CA1 hippocampal connections that may underlie network synchrony (2022) (0)

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What Schools Are Affiliated With Claudia Clopath?

Claudia Clopath is affiliated with the following schools: