ArticleCognitive neurodynamics2015
Modeling spatial-temporal operations with context-dependent associative memories.
Article in Cognitive neurodynamics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The precision principle: driving biological self-organization.Frontiers in network physiology · 2025Article
- Multiplicative processing in the modeling of cognitive activities in large neural networks.Biophysical reviews · 2023Review
- A feature-based neurocomputational model of semantic memory.Cognitive neurodynamics · 2018Article
- The feeling of understanding: an exploration with neural models.Cognitive neurodynamics · 2017Article
- Semantic integration by pattern priming: experiment and cortical network model.Cognitive neurodynamics · 2016Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We organize our behavior and store structured information with many procedures that require the coding of spatial and temporal order in specific neural modules. In the simplest cases, spatial and temporal relations are condensed in prepositions like "below" and "above", "behind" and "in front of", or "before" and "after", etc. Neural operators lie beneath these words, sharing some similarities with logical gates that compute spatial and temporal asymmetric relations. We show how these operators can be modeled by means of neural matrix memories acting on Kronecker tensor products of vectors. The complexity of these memories is further enhanced by their ability to store episodes unfolding in space and time. How does the brain scale up from the raw plasticity of contingent episodic memories to the apparent stable connectivity of large neural networks? We clarify this transition by analyzing a model that flexibly codes episodic spatial and temporal structures into contextual markers capable of linking different memory modules.
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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.