#PredictionErrors
LightNews LightNews
neuro-timone.bsky.social
What if the brain learned from error predictions rather than prediction errors? New perspective piece by Nicolas Meirhaeghe @nmrghe.bsky.social from Institut des Neurosciences de Timone in #JNeurosci.
🔗 doi.org/10.1523/JNEU...
#Neuroscience #InternalModels #Learning #MotorPlanning #PredictionErrors
Learning from Error Predictions Rather Than Prediction Errors: A Perspective on Self-Supervised Learning in the Brain
Humans learn by doing and observing but also by imagining the result of simulated actions in their mind. When learning from executed or observed actions, traditional theories posit that behavior impro...
doi.org
October 29, 2026 at 9:30 AM
birchalexander.bsky.social
On Saturday, I attended Maggie Zellner's webinar, You, Me, and Our Internal Generative Models: The Free Energy Principle in Clinical Work.

I always look forward to her talks! This time, we explored predictive processing, uncertainty, #predictionerrors, and their implications for clinical practice.
October 12, 2026 at 11:20 PM
bachlab.bsky.social
In our latest paper, we address this question in a large sample and in four data modalities. We find responses to outcome omission in all data modalities, but also clear and significant evidence against an expression of prediction errors.

#predictionerrors #fearconditioning
April 29, 2026 at 11:03 AM
mapjournals.bsky.social
#DTS
New DSAN model fuses TCN, LSTM & attention to slash rutting prediction errors. Validated on 80M axle loads—outperforms traditional methods across all layer thicknesses!
Details: https://www.maxapress.com/article/doi/10.48130/dts-0026-0003
#traditionalmethods #predictionerrors #methods
May 12, 2026 at 4:18 PM
plosbiology.org
The sound of silence? @yaronamit.bsky.social &co show how #neurons encoding negative #PredictionErrors in the #AuditorySystem compute the omission of sounds in a predictable tone sequence (incl asymmetry between bottom-up receptive field & top-down predictive field @plosbiology.org 🧪 plos.io/4n61zeq
Left: Experimental design featuring eight conditions with two distinct tones (A and B) and a 5% omission rate, presented in random order. Each condition comprised 1,000 stimulus items, varying the probability of Tones A and B to achieve different predictability levels. Top right: Example of a neuron that responds to tones but not to omissions. The raster plot shows spikes (black dots) with time (ms) on the x-axis and trials on the y-axis. The PSTH displays firing rate over time, with tone stimuli (blue shading) and omissions (gray shading). The black line represents the firing rate, the red line shows omission responses, and the green line indicates the omission baseline. Bottom right: Example of a neuron that selectively responds to the omission of specific tones. The same representation is used as in top right.
June 19, 2025 at 5:11 PM
plosbiology.org
The sound of silence? @yaronamit.bsky.social &co show how #neurons encoding negative #PredictionErrors in the #AuditorySystem compute the omission of sounds in a predictable tone sequence (incl asymmetry between bottom-up receptive field & top-down predictive field @plosbiology.org 🧪 plos.io/4n61zeq
Left: Experimental design featuring eight conditions with two distinct tones (A and B) and a 5% omission rate, presented in random order. Each condition comprised 1,000 stimulus items, varying the probability of Tones A and B to achieve different predictability levels. Top right: Example of a neuron that responds to tones but not to omissions. The raster plot shows spikes (black dots) with time (ms) on the x-axis and trials on the y-axis. The PSTH displays firing rate over time, with tone stimuli (blue shading) and omissions (gray shading). The black line represents the firing rate, the red line shows omission responses, and the green line indicates the omission baseline. Bottom right: Example of a neuron that selectively responds to the omission of specific tones. The same representation is used as in top right.
June 19, 2025 at 1:17 PM
plosbiology.org
The sound of silence? @yaronamit.bsky.social &co show how #neurons encoding negative #PredictionErrors in the #AuditorySystem compute the omission of sounds in a predictable tone sequence (incl asymmetry between bottom-up receptive field & top-down predictive field @plosbiology.org 🧪 plos.io/4n61zeq
Left: Experimental design featuring eight conditions with two distinct tones (A and B) and a 5% omission rate, presented in random order. Each condition comprised 1,000 stimulus items, varying the probability of Tones A and B to achieve different predictability levels. Top right: Example of a neuron that responds to tones but not to omissions. The raster plot shows spikes (black dots) with time (ms) on the x-axis and trials on the y-axis. The PSTH displays firing rate over time, with tone stimuli (blue shading) and omissions (gray shading). The black line represents the firing rate, the red line shows omission responses, and the green line indicates the omission baseline. Bottom right: Example of a neuron that selectively responds to the omission of specific tones. The same representation is used as in top right.
June 19, 2025 at 8:45 AM