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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.
Adversarial Feature Desensitization.
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.
2020-03
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits
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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