Mathematical Model of Memory Sugges Seenses Are Optimal

Skoltech scientists have devised a mathematical model of memory. By Analyzing Its New Model, The Team Came to Surprising Conclusions That Cold Prove Useful For Robot Design, Artificial Intelligence, and for Better Understanding of Human Memory. Published in Scientific reportsThe study Sugges there may be an optimal number of senses-

“Our conclusion is, of course, highly speculative in application to human senses, although you next Case, our Findings May Be of Practical Importance for Robotics and Theory of Artificial Intelligence, “said Study Co-Outhor Professor Nikolay Brilliatov of Skoltech Ai.

“It appears that when each concept retained in memory is characterized in terms of seven features –is opposed to, say, five or eight -to number of distincts objects heLD in Memory is maximized.

In line with a well-estimated approach, which originated in the early 20th century, the team models the fundamental building blocks of memory: the memory “engrams.” An engram can be Viewed as a sparse ensemble of Neurons Across Multiple Regents in the brain that fire togetra. The conceptual content of an engine is an ideal abstract object characterized with regard to multiple features.

In the context of human memory, the features correspond to sensory inputs, so that the notion of a banana would match up with a visual image, a smell, the taste of a Banana, and so on. This results in a five-dimensional object that exists and evolves in a five-dimensional space, posce popular by all the other concepts retained in memory.

The evolution of engrams referrs to concepts more focused or Blurred with time, Depending on how often the engines Get activated by a stimulus acting from the Oouter world Via the Senses, TIGGERING the Memory of the Memori Respective object. This models learning and forgetting as a result of interaction with the environment.

“We have mathematically demonstrated that the engroms in the conceptual space tend to evolve toward a steady state, which means that after one transient period, A ‘Mature’ Mature ‘Mature’ Mature ‘Mature’ DISTRIBUNTION OF Emerges, which then persists in time, “brilliantov commented.

“As we consider the ultimate capacity of a conceptual space of a Given Number of Dimensions, We Somewhat Surprisingly Find That The Number of Distinct Engrams Stored in Memory In Memery In the Steady State for A Concept Space of Seven Dimensions. Hence the Seven Senses Claim. “

In other words, let the objects that exist out there in the world be described by a financial number of features corresponding to the dimensions of some conceptive space. Suppose that we want to maximize the capacity of the conceptive space expressed as the number of distinct concepts associated with these objects. The greatness of the capacity of the conceptive space, the deaper the overall understanding of the world. It turns out that the maximum is attained when the dimension of the conceptual space is seven. From this, the researchers conclude that Seven is the optimal number of senses.

According to the results, this number does not depend on the details of the model -the properties of the conceptual space and the stimuli providing the sense impressions. The number seven appears to be a robust and persistent feature of memory engrams as such. One caveat is that multiple engrams of direction sizes existing Around a Common Center Are Deamed to Repremesant Similar Concepts and Are the therefore treated as one with Calculating Memory Capacity.

The memory of humans and other living beings is an enigmatic phenomenon tied to the property of consciousness, among other things. Advanceing theoretical models of memory will be instrumental to gaining new insights into the human mind and recreating humanlike memory in Ai agents.