When shared concept cells support associations: Theory of overlap** memory engrams
Assemblies of neurons, called concepts cells, encode acquired concepts in human Medial
Temporal Lobe. Those concept cells that are shared between two assemblies have been …
Temporal Lobe. Those concept cells that are shared between two assemblies have been …
Robust retrieval of dynamic sequences through interaction modulation
Many biological systems dynamically rearrange their components through a sequence of
configurations in order to perform their functions. Such dynamic processes have been …
configurations in order to perform their functions. Such dynamic processes have been …
[HTML][HTML] Neural feedback facilitates rough-to-fine information retrieval
Categorical relationships between objects are encoded as overlapped neural
representations in the brain, where the more similar the objects are, the larger the …
representations in the brain, where the more similar the objects are, the larger the …
A computational framework for memory engrams
Memory engrams in mice brains are potentially related to groups of concept cells in human
brains. A single concept cell in human hippocampus responds, for example, not only to …
brains. A single concept cell in human hippocampus responds, for example, not only to …
Organization and priming of long-term memory representations with two-phase plasticity
J Luboeinski, C Tetzlaff - Cognitive Computation, 2023 - Springer
Abstract Background/Introduction In recurrent neural networks in the brain, memories are
represented by so-called Hebbian cell assemblies. Such assemblies are groups of neurons …
represented by so-called Hebbian cell assemblies. Such assemblies are groups of neurons …
Fundamental law of memory recall
Human memory appears to be fragile and unpredictable. Free recall of random lists of words
is a standard paradigm used to probe episodic memory. We proposed an associative search …
is a standard paradigm used to probe episodic memory. We proposed an associative search …
Vector symbolic finite state machines in attractor neural networks
Hopfield attractor networks are robust distributed models of human memory, but they lack a
general mechanism for effecting state-dependent attractor transitions in response to input …
general mechanism for effecting state-dependent attractor transitions in response to input …
Emergence of hierarchical organization in memory for random material
Structured information is easier to remember and recall than random one. In real life,
information exhibits multi-level hierarchical organization, such as clauses, sentences …
information exhibits multi-level hierarchical organization, such as clauses, sentences …
Free recall scaling laws and short-term memory effects in a latching attractor network
Despite the complexity of human memory, paradigms like free recall have revealed robust
qualitative and quantitative characteristics, such as power laws governing recall capacity …
qualitative and quantitative characteristics, such as power laws governing recall capacity …
[BUCH][B] The role of synaptic tagging and capture for memory dynamics in spiking neural networks
J Luboeinski - 2021 - books.google.com
Memory serves to process and store information about experiences such that this
information can be used in future situations. The transfer from transient storage into long …
information can be used in future situations. The transfer from transient storage into long …