A study of brains complex organs-organisms with artificial intelligence system to evolve cardinal feature-manifestations of brain`s (self-organizing)

---

Original Article

Author Details : Venkateshwarla Rama Raju*

Volume : 9, Issue : 4, Year : 2023

Article Page : 221-226

https://doi.org/10.18231/j.ijn.2023.043

Suggest article by email

Get Permission

---

Abstract

Background: Embedding carnal (somatic or physical) restraints over the artificial intelligent system (i.e., artificially-intelligent system) in ample the similar way that the ‘human-brain’ must grow, progress plus function in the physically real, tangible and biological constrictions that lets system to advance feature-manifestations of the brains of multifaceted organs and organisms so as to solve brain issues.
Objective : Placing carnal restraints on AI-based model-system, i.e., artificially intelligent system.
Materials and Methods : spatially embedded recurrent neural nets (RNNs), 3D Euclidean space, where message of fundamental neural-cells are hampered by ‘sparse-connectome’ recurrent-neural-nets (RNN).
Results : RNNs converge over anatomical, structural functional features universally originate within primates (cardinal, mandrill), and macaques’ cerebral/rational, brainy-cortices. Explicitly, they congregate/ (converge) over resolving implications via segmental (modular) tiny-world nets, in which functionally analogous-units spatially configure/construct themselves to use the dynamically effective varied-discerning code. Since features occur in union RNNs show how many mutual anatomical, functional-brain patterns (motifs) are deeply linked, can be ascribed to basic biologic optimization-processes.
Conclusions : RNNs merge biophysical limits in AI system plus aid as a bridge amid anatomical functional researchers to move ability neuroscience on.
 
Keywords: Embedding carnal, AI-system, Humanoid-Brain

How to cite : Raju V R, A study of brains complex organs-organisms with artificial intelligence system to evolve cardinal feature-manifestations of brain`s (self-organizing). IP Indian J Neurosci 2023;9(4):221-226

This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.