Detecting Sequences and Understanding Language with Neural Associative Memories and Cell Assemblies

2005 ◽  
pp. 107-117 ◽  
Author(s):  
Heiner Markert ◽  
Andreas Knoblauch ◽  
Günther Palm
Keyword(s):  
Associative Memories ◽  
Cell Assemblies

scholarly journals Inhibitory engrams in perception and memory

2017 ◽  
Author(s):  
Helen Barron ◽  
Tim P. Vogels ◽  
Timothy Behrens ◽  
Mani Ramaswami
Keyword(s):  
Traumatic Stress ◽  
Associative Memories ◽  
Post Traumatic Stress ◽  
Cell Assemblies ◽  
Behavioral Habituation ◽  
Post Traumatic ◽  
Psychiatric Conditions ◽  
Familiar Stimuli ◽  
Insight Into

SUMMARYNervous systems use excitatory cell assemblies or “perceptual engrams” to encode and represent sensory percepts. Similarly, synaptically connected cell assemblies or “memory engrams” are thought to represent memories of past experience. Multiple lines of recent evidence indicate that brain systems also create inhibitory replicas of excitatory engrams with important cognitive functions. Such matched inhibitory engrams may form through homeostatic potentiation of inhibition onto postsynaptic cells that show increased levels of excitation. Inhibitory engrams can reduce behavioral responses to familiar stimuli thereby resulting in behavioral habituation. In addition, by preventing inappropriate activation of excitatory memory engrams, inhibitory engrams can make memories quiescent, stored in a latent form that is available for contextrelevant activation. In neural networks with balanced excitatory and inhibitory engrams, the release of innate responses and recall of associative memories can occur through focussed disinhibition. Understanding mechanisms that regulate the formation and expression of inhibitory engrams in vivo may help not only to explain key features of cognition, but also to provide insight into transdiagnostic traits associated with psychiatric conditions such as autism, schizophrenia and post-traumatic stress disorder (PTSD).

Memory Capacity of Balanced Networks

2005 ◽  
Vol 17 (3) ◽  
pp. 691-713 ◽  
Author(s):  
Yuval Aviel ◽  
David Horn ◽  
Moshe Abeles
Keyword(s):  
Network Architecture ◽  
Background Activity ◽  
Memory Capacity ◽  
Memory Models ◽  
Associative Memories ◽  
Cell Assemblies ◽  
Synfire Chains ◽  
Proper Scaling ◽  
Balanced Networks ◽  
Balanced Network

We study the problem of memory capacity in balanced networks of spiking neurons. Associative memories are represented by either synfire chains (SFC) or Hebbian cell assemblies (HCA). Both can be embedded in these balanced networks by a proper choice of the architecture of the network. The size WE of a pool in an SFC or of an HCA is limited from below and from above by dynamical considerations. Proper scaling of WE by √K, where K is the total excitatory synaptic connectivity, allows us to obtain a uniform description of our system for any given K. Using combinatorial arguments, we derive an upper limit on memory capacity. The capacity allowed by the dynamics of the system, αc, is measured by simulations. For HCA, we obtain αc of order 0.1, and for SFC, we find values of order 0.065. The capacity can be improved by introducing shadow patterns, inhibitory cell assemblies that are fed by the excitatory assemblies in both memory models. This leads to a doubly balanced network, where, in addition to the usual global balancing of excitation and inhibition, there exists specific balance between the effects of both types of assemblies on the background activity of the network. For each of the memory models and for each network architecture, we obtain an allowed region (phase space) for WE √K in which the model is viable.

A Basis Set of Elementary Operations Captures Recombination of Neocortical Cell Assemblies During Basal Conditions and Learning

2019 ◽  
Author(s):  
Dominik F. Aschauer ◽  
Jens-Bastian Eppler ◽  
Luke Ewig ◽  
Anna Chambers ◽  
Christoph Pokorny ◽  
...  
Keyword(s):  
Basis Set ◽  
Cell Assemblies

Applying Associative Memories To Fault Location Identification

2016 ◽  
Author(s):  
A. P. Alves da Silva ◽  
A. H. F. Insfran ◽  
P. M. da Silveira ◽  
G. Lambert-Torres
Keyword(s):  
Fault Location ◽  
Associative Memories ◽  
Location Identification

scholarly journals 1-D/2-D/3-D Hopfield Associative Memories

2021 ◽  
Vol 1049 (1) ◽  
pp. 012001
Author(s):  
Rama Murthy Garimella ◽  
Aman Singh ◽  
GC Jyothi Prasanna ◽  
Manasa Jagannadan ◽  
Vidya Sree Vankam ◽  
...  
Keyword(s):  
Associative Memories

Disentangling collective motion and local rearrangements in 2D and 3D cell assemblies

Soft Matter ◽  
2021 ◽  
Author(s):  
Roberto Cerbino ◽  
Stefano Villa ◽  
Andrea Palamidessi ◽  
Emanuela Frittoli ◽  
Giorgio Scita ◽  
...  
Keyword(s):  
Collective Motion ◽  
Cell Assemblies ◽  
Multiscale Dynamics ◽  
2D And 3D

We propose a new tracking-free method for the quantification of multiscale dynamics in 2D and 3D cell collectives.

Figures of merit for the performance of Hebbian-type associative memories

1990 ◽  
Author(s):  
J.-H. Wang ◽  
T.F. Krile ◽  
J.F. Walkup
Keyword(s):  
Associative Memories ◽  
Figures Of Merit

Tunable equivalence fuzzy associative memories

2016 ◽  
Vol 292 ◽  
pp. 242-260 ◽  
Author(s):  
Estevão Esmi ◽  
Peter Sussner ◽  
Sandra Sandri
Keyword(s):  
Associative Memories
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