Research graph
References from Error-driven representation learning in the mesolimbic system. Local targets link to admitted publications; unresolved targets remain external evidence.
Representation learning with reward prediction errors
10.48550/arxiv.2108.12402 · 2021 · External reference
Unresolved reference
2006 · External reference
Deep reinforcement learning and its neuroscientific implications
10.1016/j.neuron.2020.06.014 · 2020 · External reference
A hardwired neural circuit for temporal difference learning
10.1101/2025.09.18.677203 · 2025 · External reference
The olfactory tubercle encodes odor valence in behaving mice
10.1523/jneurosci.4750-14.2015 · 2015 · External reference
A map of abstract relational knowledge in the human hippocampalentorhinal cortex
10.7554/elife.17086 · 2017 · External reference
A tutorial on linear function approximators for dynamic programming and reinforcement learning
10.1561/2200000042 · 2013 · External reference
Explaining dopamine through prediction errors and beyond
10.1038/s41593-024-01705-4 · 2024 · External reference
The neurobiology of deep reinforcement learning
10.1016/j.cub.2020.04.021 · 2020 · External reference
Emergence of belief-like representations through reinforcement learning
10.1371/journal.pcbi.1011067 · 2023 · External reference
Dopamine mediates the bidirectional update of interval timing
10.1037/bne0000529 · 2022 · External reference
Competition and cooperation between multiple reinforcement learning systems
10.1016/b978-0-12-812098-9.00007-3 · 2018 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
Transformation of valence signaling in a striatopallidal circuit
10.7554/elife.90976.2 · 2024 · External reference
How Important is Weight Symmetry in Backpropagation?
10.48550/arxiv.1510.05067 · 2015 · External reference
Random synaptic feedback weights support error backpropagation for deep learning
10.1038/ncomms13276 · 2016 · External reference
Evaluating the TD model of classical conditioning
10.3758/s13420-012-0082-6 · 2012 · External reference
Distinct representation of cue-outcome association by D1 and D2 neurons in the ventral striatum’s olfactory tubercle
10.7554/elife.75463 · 2022 · External reference
Reading out olfactory receptors: Feedforward circuits detect odors in mixtures without demixing
10.1016/j.neuron.2016.08.007 · 2016 · External reference
A scalable population code for time in the striatum
10.1016/j.cub.2015.02.036 · 2015 · External reference
Adapting the flow of time with dopamine
10.1152/jn.00817.2018 · 2019 · External reference
Rapid learning of odor-value association in the olfactory striatum
10.1523/jneurosci.2604-19.2020 · 2020 · External reference
Odor representations in olfactory cortex: distributed rate coding and decorrelated population activity
10.1016/j.neuron.2012.04.021 · 2012 · External reference
Human-level control through deep reinforcement learning
10.1038/nature14236 · 2015 · External reference
Learning task-state representations
10.1038/s41593-019-0470-8 · 2019 · External reference
Phasic dopamine reinforces distinct striatal stimulus encoding in the olfactory tubercle driving dopaminergic reward prediction
10.1038/s41467-020-17257-7 · 2020 · External reference
Dopamine receptor activation is required for corticostriatal spike-timing-dependent plasticity
10.1523/jneurosci.4402-07.2008 · 2008 · External reference
Decision making under uncertainty: a neural model based on partially observable markov decision processes
10.3389/fncom.2010.00146 · 2010 · External reference
A theory of of Pavlovian conditioning: variations in the effectiveness of reinforcement and nonreinforcement
1972 · External reference
A deep learning framework for neuroscience
10.1038/s41593-019-0520-2 · 2019 · External reference
A stochastic approximation method
10.1214/aoms/1177729586 · 1951 · External reference
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
10.48550/arxiv.1312.6120 · 2013 · External reference
Sniffing shapes dopamine signals for reward prediction
10.64898/2026.04.27.721190 · 2026 · External reference
Human orbitofrontal cortex represents a cognitive map of state space
10.1016/j.neuron.2016.08.019 · 2016 · External reference
A neural substrate of prediction and reward
10.1126/science.275.5306.1593 · 1997 · External reference
Dichotomous dopaminergic control of striatal synaptic plasticity
10.1126/science.1160575 · 2008 · External reference
Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles
10.1101/2024.06.24.600372 · 2025 · External reference
The hippocampus as a predictive map
10.1038/nn.4650 · 2017 · External reference
Unresolved reference
2018 · External reference
Smelling sounds: olfactory–auditory sensory convergence in the olfactory tubercle
10.1523/jneurosci.6003-09.2010 · 2010 · External reference
Cortical processing of odor objects
10.1016/j.neuron.2011.10.027 · 2011 · External reference
Striatal hub of dynamic and stabilized prediction coding in forebrain networks for olfactory reinforcement learning
10.1038/s41467-022-30978-1 · 2022 · External reference
Competition and cooperation between multiple reinforcement learning systems
10.1016/b978-0-12-812098-9.00007-3 · ExternalCitation · doi-reference
A scalable population code for time in the striatum
10.1016/j.cub.2015.02.036 · ExternalCitation · doi-reference
The neurobiology of deep reinforcement learning
10.1016/j.cub.2020.04.021 · ExternalCitation · doi-reference
Cortical processing of odor objects
10.1016/j.neuron.2011.10.027 · ExternalCitation · doi-reference
Odor representations in olfactory cortex: distributed rate coding and decorrelated population activity
10.1016/j.neuron.2012.04.021 · ExternalCitation · doi-reference
Reading out olfactory receptors: Feedforward circuits detect odors in mixtures without demixing
10.1016/j.neuron.2016.08.007 · ExternalCitation · doi-reference
Human orbitofrontal cortex represents a cognitive map of state space
10.1016/j.neuron.2016.08.019 · ExternalCitation · doi-reference
Deep reinforcement learning and its neuroscientific implications
10.1016/j.neuron.2020.06.014 · ExternalCitation · doi-reference
Dopamine mediates the bidirectional update of interval timing
10.1037/bne0000529 · ExternalCitation · doi-reference
Human-level control through deep reinforcement learning
10.1038/nature14236 · ExternalCitation · doi-reference
Deep learning
10.1038/nature14539 · ExternalCitation · doi-reference
Random synaptic feedback weights support error backpropagation for deep learning
10.1038/ncomms13276 · ExternalCitation · doi-reference
The hippocampus as a predictive map
10.1038/nn.4650 · ExternalCitation · doi-reference
Phasic dopamine reinforces distinct striatal stimulus encoding in the olfactory tubercle driving dopaminergic reward prediction
10.1038/s41467-020-17257-7 · ExternalCitation · doi-reference
Striatal hub of dynamic and stabilized prediction coding in forebrain networks for olfactory reinforcement learning
10.1038/s41467-022-30978-1 · ExternalCitation · doi-reference
Learning task-state representations
10.1038/s41593-019-0470-8 · ExternalCitation · doi-reference
A deep learning framework for neuroscience
10.1038/s41593-019-0520-2 · ExternalCitation · doi-reference
Explaining dopamine through prediction errors and beyond
10.1038/s41593-024-01705-4 · ExternalCitation · doi-reference
Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles
10.1101/2024.06.24.600372 · ExternalCitation · doi-reference
A hardwired neural circuit for temporal difference learning
10.1101/2025.09.18.677203 · ExternalCitation · doi-reference
Dichotomous dopaminergic control of striatal synaptic plasticity
10.1126/science.1160575 · ExternalCitation · doi-reference
A neural substrate of prediction and reward
10.1126/science.275.5306.1593 · ExternalCitation · doi-reference
Adapting the flow of time with dopamine
10.1152/jn.00817.2018 · ExternalCitation · doi-reference
A stochastic approximation method
10.1214/aoms/1177729586 · ExternalCitation · doi-reference
Emergence of belief-like representations through reinforcement learning
10.1371/journal.pcbi.1011067 · ExternalCitation · doi-reference
Rapid learning of odor-value association in the olfactory striatum
10.1523/jneurosci.2604-19.2020 · ExternalCitation · doi-reference
Dopamine receptor activation is required for corticostriatal spike-timing-dependent plasticity
10.1523/jneurosci.4402-07.2008 · ExternalCitation · doi-reference
The olfactory tubercle encodes odor valence in behaving mice
10.1523/jneurosci.4750-14.2015 · ExternalCitation · doi-reference
Smelling sounds: olfactory–auditory sensory convergence in the olfactory tubercle
10.1523/jneurosci.6003-09.2010 · ExternalCitation · doi-reference
A tutorial on linear function approximators for dynamic programming and reinforcement learning
10.1561/2200000042 · ExternalCitation · doi-reference
Decision making under uncertainty: a neural model based on partially observable markov decision processes
10.3389/fncom.2010.00146 · ExternalCitation · doi-reference
Evaluating the TD model of classical conditioning
10.3758/s13420-012-0082-6 · ExternalCitation · doi-reference
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
10.48550/arxiv.1312.6120 · ExternalCitation · doi-reference
How Important is Weight Symmetry in Backpropagation?
10.48550/arxiv.1510.05067 · ExternalCitation · doi-reference
Representation learning with reward prediction errors
10.48550/arxiv.2108.12402 · ExternalCitation · doi-reference
Sniffing shapes dopamine signals for reward prediction
10.64898/2026.04.27.721190 · ExternalCitation · doi-reference
A map of abstract relational knowledge in the human hippocampalentorhinal cortex
10.7554/elife.17086 · ExternalCitation · doi-reference
Distinct representation of cue-outcome association by D1 and D2 neurons in the ventral striatum’s olfactory tubercle
10.7554/elife.75463 · ExternalCitation · doi-reference
Transformation of valence signaling in a striatopallidal circuit
10.7554/elife.90976.2 · ExternalCitation · doi-reference
