ArticlePhysical review research2024
Predicting the effect of micro-stimulation on macaque prefrontal activity based on spontaneous circuit dynamics.
Article in Physical review research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Millimeter-scale selective amplification in the developing visual cortex.bioRxiv : the preprint server for biology · 2026Article
- Control of cortical population activity with patterned microstimulation.bioRxiv : the preprint server for biology · 2026Article
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- Robustness of Working Memory to Prefrontal Cortex Microstimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks.Nature communications · 2025Article
- Spontaneous Dynamics Predict the Effects of Targeted Intervention in Hippocampal Neuronal Cultures.bioRxiv : the preprint server for biology · 2025Article
- Towards model-based design of causal manipulations of brain circuits with high spatiotemporal precision.bioRxiv : the preprint server for biology · 2025Article
- Towards model-based design of causal manipulations of brain circuits with high spatiotemporal precision.ArXiv · 2025Article
- Robustness of working memory to prefrontal cortex microstimulation.bioRxiv : the preprint server for biology · 2025Article
- Recurrent Neural Circuits Overcome Partial Inactivation by Compensation and Re-learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
A crucial challenge in targeted manipulation of neural activity is to identify perturbation sites whose stimulation exerts significant effects downstream with high efficacy, a procedure currently achieved by labor-intensive and potentially harmful trial and error. Can one predict the effects of electrical stimulation on neural activity based on the circuit dynamics during spontaneous periods? Here we show that the effects of single-site micro-stimulation on ensemble activity in an alert monkey's prefrontal cortex can be predicted solely based on the ensemble's spontaneous activity. We first inferred the ensemble's causal flow based on the directed functional interactions inferred during spontaneous periods using convergent cross-mapping and showed that it uncovers a causal hierarchy between the recording electrodes. We find that causal flow inferred at rest successfully predicts the spatiotemporal effects of micro-stimulation. We validate the computational features underlying causal flow using ground truth data from recurrent neural network models, showing that it is robust to noise and common inputs. A detailed comparison between convergent-cross mapping and alternative methods based on information theory reveals the advantages of the former method in predicting perturbation effects. Our results elucidate the causal interactions within neural ensembles and will facilitate the design of intervention protocols and targeted circuit manipulations suitable for brain-machine interfaces.
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Registered trials
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.