ArticleCognitive neurodynamics2017
Optimal path-finding through mental exploration based on neural energy field gradients.
Article in Cognitive neurodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 42 citations in OpenAlex.
- Research on hippocampal positioning and navigation model based on energy fields.Cognitive neurodynamics · 2025Article
- Astrocytic modulation on neuronal electric mode selection induced by magnetic field effect.Cognitive neurodynamics · 2022Article
- Spatial information transfer in hippocampal place cells depends on trial-to-trial variability, symmetry of place-field firing, and biophysical heterogeneities.Neural networks : the official journal of the International Neural Network Society · 2021Article
- Memory retention in pyramidal neurons: a unified model of energy-based homo and heterosynaptic plasticity with homeostasis.Cognitive neurodynamics · 2021Article
- Brain functional network modeling and analysis based on fMRI: a systematic review.Cognitive neurodynamics · 2021Review
- Energy dependence on discharge mode of Izhikevich neuron driven by external stimulus under electromagnetic induction.Cognitive neurodynamics · 2021Article
- Medium- and long-term functional behavior evaluations in an experimental focal ischemic stroke mouse model.Cognitive neurodynamics · 2020Article
- Spontaneous electromagnetic induction promotes the formation of economical neuronal network structure via self-organization process.Scientific reports · 2019Article
- Energy expenditure computation of a single bursting neuron.Cognitive neurodynamics · 2019Article
- Suppressing bursting synchronization in a modular neuronal network with synaptic plasticity.Cognitive neurodynamics · 2018Article
- Simulation of retinal ganglion cell response using fast independent component analysis.Cognitive neurodynamics · 2018Article
- The Energy Coding of a Structural Neural Network Based on the Hodgkin-Huxley Model.Frontiers in neuroscience · 2018Article
- An Energy Model of Place Cell Network in Three Dimensional Space.Frontiers in neuroscience · 2018Article
- Neurodynamic evaluation of hearing aid features using EEG correlates of listening effort.Cognitive neurodynamics · 2017Article
- From abstract topology to real thermodynamic brain activity.Cognitive neurodynamics · 2017Article
- Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model.Neural plasticity · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rodent animal can accomplish self-locating and path-finding task by forming a cognitive map in the hippocampus representing the environment. In the classical model of the cognitive map, the system (artificial animal) needs large amounts of physical exploration to study spatial environment to solve path-finding problems, which costs too much time and energy. Although Hopfield's mental exploration model makes up for the deficiency mentioned above, the path is still not efficient enough. Moreover, his model mainly focused on the artificial neural network, and clear physiological meanings has not been addressed. In this work, based on the concept of mental exploration, neural energy coding theory has been applied to the novel calculation model to solve the path-finding problem. Energy field is constructed on the basis of the firing power of place cell clusters, and the energy field gradient can be used in mental exploration to solve path-finding problems. The study shows that the new mental exploration model can efficiently find the optimal path, and present the learning process with biophysical meaning as well. We also analyzed the parameters of the model which affect the path efficiency. This new idea verifies the importance of place cell and synapse in spatial memory and proves that energy coding is effective to study cognitive activities. This may provide the theoretical basis for the neural dynamics mechanism of spatial memory.
Indexed as
Identifiers
What OpenQuestion holds
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.