R. P. Costa

发表

Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits

Mark C. W. van Rossum, Jesper Sjöström, Rui P. Costa, 2013, Front. Comput. Neurosci..

Target-Specific Expression of Presynaptic NMDA Receptors in Neocortical Microcircuits

Arne V. Blackman, P. J. Sjöström, K. Buchanan, 2012, Neuron.

Target-cell-specific short-term plasticity in local circuits

Arne V. Blackman, P. J. Sjöström, R. P. Costa, 2013, Front. Synaptic Neurosci..

Functional consequences of pre- and postsynaptic expression of synaptic plasticity

Beatriz E. P. Mizusaki, Mark C. W. van Rossum, R. P. Costa, 2016, bioRxiv.

Modelling short and long-term synaptic plasticity in neocortical microcircuits

R. P. Costa, 2015 .

Pre- and postsynaptically expressed spike-timing-dependent plasticity contribute differentially to neuronal learning

Beatriz E. P. Mizusaki, P. J. Sjöström, R. P. Costa, 2018, bioRxiv.

Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity

T. Vogels, R. Froemke, N. Emptage, 2017, Neuron.

Differential Regulation of Evoked and Spontaneous Release by Presynaptic NMDA Receptors

Jennifer A. Brock, Arne V. Blackman, P. J. Sjöström, 2017, Neuron.

Functional consequences of pre- and postsynaptic expression of synaptic plasticity

Beatriz E. P. Mizusaki, Mark C. W. van Rossum, R. P. Costa, 2016, bioRxiv.

Single-phase deep learning in cortico-cortical networks

J. Mellor, R. P. Costa, He Zhu, 2022, ArXiv.

Deep temporal credit assignment with dynamic synapses

J. Mellor, C. Ek, Matt Jones, 2019 .

Distributional coding of associative learning within projection-defined populations of midbrain dopamine neurons

P. Magill, P. D. Dodson, R. P. Costa, 2022, bioRxiv.

Single-phase deep learning in cortico-cortical networks

J. Mellor, R. P. Costa, He Zhu, 2022, NeurIPS.

Cerebellar-driven cortical dynamics enable task acquisition, switching and consolidation

P. Chadderton, R. P. Costa, Joe Pemberton, 2022, bioRxiv.

Cerebellar-driven cortical dynamics enable task acquisition, switching and consolidation

P. Chadderton, R. P. Costa, Joe Pemberton, 2023, bioRxiv.

Computational roles of plastic probabilistic synapses

Rui Ponte Costa, João Sacramento, Milton Llera-Montero, 2019, Current Opinion in Neurobiology.

Dendritic cortical microcircuits approximate the backpropagation algorithm

Yoshua Bengio, Walter Senn, Rui Ponte Costa, 2018, NeurIPS.

Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning

Rui Ponte Costa, Mark C. W. van Rossum, P Jesper Sjöström, 2015, eLife.

Developmental depression-to-facilitation shift controls excitation-inhibition balance

T. Vogels, R. P. Costa, David W. Jia, 2021, Communications Biology.

Cortical microcircuits as gated-recurrent neural networks pdf

Nando de Freitas, Rui Ponte Costa, Brendan Shillingford, 2017, NIPS.

A deep learning framework for neuroscience

Surya Ganguli, Yoshua Bengio, Claudia Clopath, 2019, Nature Neuroscience.

Learning offline: memory replay in biological and artificial reinforcement learning

Nathan Lepora, Rui Ponte Costa, Emma L. Roscow, 2021, Trends in Neurosciences.

Cerebro-cerebellar networks facilitate learning through feedback decoupling

P. Chadderton, E. Boven, Richard Apps, 2022, bioRxiv.

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation

Casimir J. H. Ludwig, J. Bowers, R. P. Costa, 2022, ArXiv.

Cortico-cerebellar networks as decoupling neural interfaces pdf

Rui Ponte Costa, Richard Apps, Joseph Pemberton, 2021, NeurIPS.

Model-Based Inference of Synaptic Transmission

Jean-Pascal Pfister, Rui Ponte Costa, Conor Houghton, 2019, Front. Synaptic Neurosci..

Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece

Wolfgang Maass, Claudia Clopath, Rui Ponte Costa, 2021, Neurons, Behavior, Data analysis, and Theory.

CCN GAC Workshop: Issues with learning in biological recurrent neural networks pdf

Wolfgang Maass, Claudia Clopath, Rui Ponte Costa, 2021, ArXiv.

Dendritic error backpropagation in deep cortical microcircuits pdf

Yoshua Bengio, Walter Senn, Rui Ponte Costa, 2017, ArXiv.

How to train a neuron

A. Watt, R. P. Costa, P. Jesper Sjöström, 2013, eLife.

A cellular learning rule known as spike-timing-dependent plasticity can form, reshape and erase the response preferences of visual cortex neurons.

Rui Ponte Costa, Alanna J. Watt, P. Jesper Sjöström, 2013 .

Cerebellar-driven cortical dynamics enable task acquisition, switching and consolidation

P. Chadderton, R. P. Costa, Joe Pemberton, 2023, bioRxiv.

Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation

Casimir J. H. Ludwig, J. Bowers, R. P. Costa, 2022, NeurIPS.

One Cell to Rule Them All, and in the Dendrites Bind Them

P. Jesper Sjöström, Rui P. Costa, R. P. Costa, 2011, Front. Syn. Neurosci..

Dimensionality and flexibility of learning in biological recurrent neural networks

Claudia Clopath, Wolfgang Maass, Rui Ponte Costa, 2020 .

Developmental depression-to-facilitation shift controls excitation-inhibition balance

T. Vogels, R. P. Costa, David W. Jia, 2022, Communications Biology.

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation

Casimir J. H. Ludwig, J. Bowers, R. P. Costa, 2022, ArXiv.