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How learning unfolds in the brain: toward an optimization view

https://doi.org/10.1016/j.neuron.2021.09.005

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Motor Learning with Unstable Neural Representations

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Perceptual Learning Reduces Interneuronal Correlations in Macaque Visual Cortex

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Associative Learning Enhances Population Coding by Inverting Interneuronal Correlation Patterns

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Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex

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Recurrent Network Models of Sequence Generation and Memory

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Backpropagation and the brain

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Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference

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Functional network reorganization during learning in a brain-computer interface paradigm

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Variance and invariance of neuronal long-term representations

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Natural Evolution Strategies

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Reinforcement Learning: An Introduction

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Reinforcement Learning: An Introduction

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Experienced Golfers’ Perspectives on Choking Under Pressure

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Learning on Multiple Timescales in Smooth Pursuit Eye Movements

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Chaotic Balanced State in a Model of Cortical Circuits

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Medial prefrontal cortex population activity is plastic irrespective of learning

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Population Rate Dynamics and Multineuron Firing Patterns in Sensory Cortex

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Information-Limiting Correlations in Large Neural Populations

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Reward-Dependent Modulation of Movement Variability

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Toward an Integration of Deep Learning and Neuroscience

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Perceptual estimation obeys Occam's razor

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Prolonged response time helps eliminate residual errors in visuomotor adaptation

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Neural Architecture Search: A Survey

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Natural evolution strategies

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Constraints on neural redundancy

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Developmental changes in exploration resemble stochastic optimization

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Dimensionality reduction beyond neural subspaces with slice tensor component analysis

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Vagus nerve stimulation during training fails to improve learning in healthy rats

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The cybernetics of learning

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Inter-trial variations in EEG predict the individual differences in social tasks

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Learning alters neural activity to simultaneously support memory and action

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BCI Learning Phenomena Can Be Explained by Gradient-Based Optimization

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Comparing Sites of Plasticity in Models of Adaptation to Manifold-Based Perturbations in Brain-Computer Interfaces

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Cell-type-specific plasticity shapes neocortical dynamics for motor learning

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Neural signatures of motor memories emerge in neural network models

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Modeling Normal and Abnormal Circuit Development with Recurrent Neural Networks

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Fixed Inter-Neuron Covariability Induces Adversarial Robustness

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Efficient Estimation of Directed Connectivity in Nonlinear and Nonstationary Spiking Neuron Networks

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Heksor: the central nervous system substrate of an adaptive behaviour

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De novo motor learning of a bimanual control task over multiple days of practice

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De novo sensorimotor learning through reuse of movement components

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Manifold-constrained plasticity enables stable learning in recurrent neural circuits

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Investigation of Factors Affecting Motif-Based Short- and Long-Term Memory Behaviour in Biological Networks

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Investigation of Factors Affecting Motif-Based Short- and Long-Term Memory Behaviour in Brain Neuron Networks

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Developmental changes resemble stochastic optimization

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Editorial: Integrating multimodal approaches to unravel neural mechanisms of learning and cognition

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La Fascinante Conexión entre la Neurociencia y el Aprendizaje Matemático

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The effect of age on spatial working memory and topography of dopamine neurons in the ventral tegmental area in a mouse model of healthy aging

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Neural signatures of motor memories emerge in neural network models

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Neural signatures of motor memories emerge in neural network models

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Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.