Emergence of Functional Cortical Patterns of neurons characterize the self-organizing way to cognition in brain

Abstract

Synaptic plasticity and neuron cross-talk are some of the important key mechanisms underlying formation of dynamic clusters of active neurons. In our proposed neuron activity pattern model assorted range of coupled interactions generated the ordered pattern dynamics, mimicking the functional clusters of neuronal activity. The temporal correlates of neurons at near critical synaptic strength features emergence of functional cortical patterns (FCPs) symbolizing task-specific neuronal activation. We investigated the near critical dynamics of long, critical and short-ranged interactions and lead to interpretation that criticality is a range and not just a point. Our model has deciphered the mechanism of emergence of a complex functional brain network. The range of interaction among neurons play an important role in defining the functional severity of the neuronal circuitry. We have found that the coupling range as a function of synaptic strength could make connections in an augmenting fashion from short to long range, as the synaptic strength increases in the population of neurons. Thus, could give insight towards the intensity of cognitive behaviour, as a symbol of multiple stimulus attempts. N <i,j> J r σ ij ≈ lim N →∞ J √ N 1 drg(r)r 3−n = lim N →∞ J

Observation of complex functional cortical patterns in brain cognition

“…We acknowledge the funding agencies and Jawaharlal Nehru University. This manuscript has been released as a Pre-Print at [https://www.biorxiv.org/content/10.1101/569244v1] [34].…”