When shared concept cells support associations: Theory of overlap** memory engrams

C Gastaldi, T Schwalger, E De Falco… - PLOS Computational …, 2021 - journals.plos.org
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 …

Robust retrieval of dynamic sequences through interaction modulation

L Herron, P Sartori, BK Xue - PRX Life, 2023 - APS
Many biological systems dynamically rearrange their components through a sequence of
configurations in order to perform their functions. Such dynamic processes have been …

[HTML][HTML] Neural feedback facilitates rough-to-fine information retrieval

X Liu, X Zou, Z Ji, G Tian, Y Mi, T Huang, KYM Wong… - Neural Networks, 2022 - Elsevier
Categorical relationships between objects are encoded as overlapped neural
representations in the brain, where the more similar the objects are, the larger the …

A computational framework for memory engrams

C Gastaldi, W Gerstner - Engrams: A Window into the Memory Trace, 2024 - Springer
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 …

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 …

Fundamental law of memory recall

M Naim, M Katkov, S Romani, M Tsodyks - Physical review letters, 2020 - APS
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 …

Vector symbolic finite state machines in attractor neural networks

M Cotteret, H Greatorex, M Ziegler, E Chicca - Neural Computation, 2024 - direct.mit.edu
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 …

Emergence of hierarchical organization in memory for random material

M Naim, M Katkov, S Recanatesi, M Tsodyks - Scientific reports, 2019 - nature.com
Structured information is easier to remember and recall than random one. In real life,
information exhibits multi-level hierarchical organization, such as clauses, sentences …

Free recall scaling laws and short-term memory effects in a latching attractor network

V Boboeva, A Pezzotta… - Proceedings of the …, 2021 - National Acad Sciences
Despite the complexity of human memory, paradigms like free recall have revealed robust
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 …