A Pragmatic Approach to Understand Hebbian Cell Assembly

Abstract

Formed at the cerebral cortex, neuron cell assemblies are regarded as basic units in cortical representation. Proposed by Hebb, these cell assemblies are regarded as the distributed neural representation of relevant objects, concepts or constellations. Each cell assembly contains a group of neurons having strong mutual excitatory connections. During a stimulus, these cells get activated. This activation either performs a given action or represent a given percept or concept in brain. This theory is in the strongest connection of the problem of concept forming in the brain. The challenge is to model coordinated activity among neurons in brain mathematically. The need of modelling it mathematically enables this paper to give clear view of functionality of Hebbian cell assembly. Therefore this paper proposes a pragmatic approach to Hebbian cell assemblies using mathematical model grounded in lattice based formalism that utilizes Galois connections. During this proposal, the authors also show the connections of the proposal to cognitive model of memory in particularly long-term memory (LTM).

An Interoperable Framework for Computational Models of Emotion

“…The proposed approach allows manipulating the ontology to add new classes and sub classes, which represent the cognitive components that are connected to the framework. Examples of classes that could be added to the ontology and that correspond to cognitive components in an agent architecture are perception, learning, personality, memory, attention, among others (Bosse et al, 2013;Bozkurt, 2015;Cherukuri et al, 2021;Faghihi et al, 2012;Lotfi & Akbarzadeh-T., 2014;Mavis et al, 2021).…”