ArticleProceedings of the National Academy of Sciences of the United States of America2022
Prediction-error neurons in circuits with multiple neuron types: Formation, refinement, and functional implications.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Deep learning without weight symmetry.PNAS nexus · 2026Article
- Probing inter-areal computations with a two-photon holographic mesoscope.Nature neuroscience · 2026Article
- Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.Nature communications · 2026Article
- Desegregation of neuronal predictive processing.Nature communications · 2026Article
- Global error signal guides local optimization in mismatch calculation.Nature communications · 2026Article
- Prefrontal cortex interneurons and their contributions to attention, working memory, and adaptive behavior.Progress in neurobiology · 2026Review
- Voltage imaging as a window into neural computation.Neurophotonics · 2026Article
- Increased Perceptual Reliability Reduces Membrane Potential Variability in Cortical Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Constructing biologically constrained RNNs via Dale's backpropagation and topologically informed pruning.Science advances · 2025Article
- Feature selective inhibitory mechanisms enable expectation suppression in cortical microcircuits.Scientific reports · 2025Article
- Cortical networks with multiple interneuron types generate oscillatory patterns during predictive coding.PLoS computational biology · 2025Article
- Duet model unifies diverse neuroscience experimental findings on predictive coding.bioRxiv : the preprint server for biology · 2025Article
- Exploring the Architectural Biases of the Cortical Microcircuit.Neural computation · 2025Article
- Selective engagement of prefrontal VIP neurons in reversal learning.Science advances · 2025Article
- Learning predictive signals within a local recurrent circuit.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.eLife · 2025Article
- Article
- Uncertainty estimation with prediction-error circuits.Nature communications · 2025Article
- Layer-specific control of inhibition by NDNF interneurons.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- CONSTRUCTING BIOLOGICALLY CONSTRAINED RNNS VIA DALE'S BACKPROP AND TOPOLOGICALLY-INFORMED PRUNING.bioRxiv : the preprint server for biology · 2025Article
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2 authors.
Funding
Abstract
SignificanceAn influential idea in neuroscience is that neural circuits do not only passively process sensory information but rather actively compare them with predictions thereof. A core element of this comparison is prediction-error neurons, the activity of which only changes upon mismatches between actual and predicted sensory stimuli. While it has been shown that these prediction-error neurons come in different variants, it is largely unresolved how they are simultaneously formed and shaped by highly interconnected neural networks. By using a computational model, we study the circuit-level mechanisms that give rise to different variants of prediction-error neurons. Our results shed light on the formation, refinement, and robustness of prediction-error circuits, an important step toward a better understanding of predictive processing.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.