Neuromimetic intelligence, also referred to as
computational neuroscience
Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand th ...
, is a system in which
computational model
A computational model uses computer programs to simulate and study complex systems using an algorithmic or mechanistic approach and is widely used in a diverse range of fields spanning from physics, engineering, chemistry and biology to economics ...
s methods apply underlying concepts of neural processes. The framework of this approach closely refers to the study of
perception
Perception () is the organization, identification, and interpretation of sensory information in order to represent and understand the presented information or environment. All perception involves signals that go through the nervous syste ...
, action,
learning
Learning is the process of acquiring new understanding, knowledge, behaviors, skills, value (personal and cultural), values, Attitude (psychology), attitudes, and preferences. The ability to learn is possessed by humans, non-human animals, and ...
,
memory
Memory is the faculty of the mind by which data or information is encoded, stored, and retrieved when needed. It is the retention of information over time for the purpose of influencing future action. If past events could not be remembe ...
and cognition within Neuroscience.
Analyzing the brain at the neural level, for example, provides an enhanced understanding of how information flow can be conveyed and exchanged within the mechanisms of a
computer
A computer is a machine that can be Computer programming, programmed to automatically Execution (computing), carry out sequences of arithmetic or logical operations (''computation''). Modern digital electronic computers can perform generic set ...
in an adaptive, integrated, unified, and autonomous manner. This example demonstrates the application of neuroscience at the microscopic level among computational dynamics.
Computational neuroscience is not limited to microscopic levels with regard to biology. Parallels along microscopic and macroscopic levels of biological applications also exist. For example, the dynamic neural field within the brain that corresponds to processes such as filtering, associating, and organizing is implemented to computational structures to execute pragmatic and sophisticated systems.
[Alexandre, F., Palacios, A., (2012). "Neuromimetic intelligence" ''Lorraine Laboratory of Research in Computer Science and its Applications'', French Institute for Research in Computer Science and Automation]
References
Intelligence by type
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