ArticleJournal of computational neuroscience2015
Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network.
Article in Journal of computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Probing Asymmetric Interactions with Time-Separated Mutual Information: A Case Study Using Golden Shiners.Entropy (Basel, Switzerland) · 2024Article
- Data-Driven Network Dynamical Model of Rat Brains During Acute Ictogenesis.Frontiers in neural circuits · 2022Article
- Identifying bidirectional total and non-linear information flow in functional corticomuscular coupling during a dorsiflexion task: a pilot study.Journal of neuroengineering and rehabilitation · 2021Article
- Ensemble stacking mitigates biases in inference of synaptic connectivity.Network neuroscience (Cambridge, Mass.) · 2018Article
- Pre-processing and transfer entropy measures in motor neurons controlling limb movements.Journal of computational neuroscience · 2017Article
- Predictive control of intersegmental tarsal movements in an insect.Journal of computational neuroscience · 2017Article
- The characterization of hippocampal theta-driving neurons - a time-delayed mutual information approach.Scientific reports · 2017Article
- Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human Patients.Frontiers in cellular neuroscience · 2015Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Understanding the patterns of interconnections between neurons in complex networks is an enormous challenge using traditional physiological approaches. Here we combine the use of an information theoretic approach with intracellular recording to establish patterns of connections between layers of interneurons in a neural network responsible for mediating reflex movements of the hind limb of an insect. By analysing delayed mutual information of the synaptic and spiking responses of sensory neurons, spiking and nonspiking interneurons in response to movement of a joint receptor that monitors the position of the tibia relative to the femur, we are able to predict the patterns of interconnections between the layers of sensory neurons and interneurons in the network, with results matching closely those known from the literature. In addition, we use cross-correlation methods to establish the sign of those interconnections and show that they also show a high degree of similarity with those established for these networks over the last 30 years. The method proposed in this paper has great potential to elucidate functional connectivity at the neuronal level in many different neuronal networks.
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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.