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2021-05
The overfitted brain hypothesis.
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.
CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
CaLFADS: latent factor analysis of dynamical systems in calcium imaging data
Adversarial Feature Desensitization
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units
2021-03
Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation
Parallel inference of hierarchical latent dynamics in two-photon calcium imaging of neuronal populations
2021-01
Learning from unexpected events in the neocortical microcircuit
2020-11
Learning function from structure in neuromorphic networks
2020-08
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets.
Dimensionality and flexibility of learning in biological recurrent neural networks
2020-06
Dissociating memory accessibility and precision in forgetting.
2020-05
Systems Consolidation Impairs Behavioral Flexibility
2020-04
Spike-based causal inference for weight alignment
Decision letter: Population coupling predicts the plasticity of stimulus responses in cortical circuits
Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex.
2020-01
Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-Term potentiation impaired by amyloid β oligomers
2019-12
Forgetting at biologically realistic levels of neurogenesis in a large-scale hippocampal model.
2019-10
A deep learning framework for neuroscience
2019-09
Variational inference of latent hierarchical dynamical systems in neuroscience: an application to calcium imaging data
Inferring hierarchies of latent features in calcium imaging data
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets
2019-06
Distinct roles of parvalbumin and somatostatin interneurons in the synchronization of spike-times in the neocortex
Neocortical inhibitory interneuron subtypes display distinct responses to synchrony and rate of inputs
Dissociating memory accessibility and precision in forgetting [Collection]
2019-05
Moving beyond reward prediction errors
2019-02
Dendritic solutions to the credit assignment problem.
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