Content deleted Content added
No edit summary |
No edit summary |
||
Line 4:
Here we describe a basic mechanism of interaction between two adjacent hierarchical levels of bottom-up and top-down signals (fields of neural activation; in this aspect NMF follows<ref> Perlovsky, L.I. (2006). Toward Physics of the Mind: Concepts, Emotions, Consciousness, and Symbols. Phys. Life Rev. 3(1), pp.22-55.</ref>; sometimes, it will be more convenient to talk about these two signal-levels as an input to and output from a (single) processing-level. At each level, output signals are [[concepts]] recognized in (or formed from) input, [[bottom-up signals (bottom-up neural signals)|bottom-up signals]]. Input signals are associated with (or recognized, or grouped into) concepts according to the [[models (concept-models)|models]] and the [[knowledge instinct]] at this level. This general structure of NMF corresponds to our knowledge of neural structures in the brain; still, here we do not map mathematical mechanisms in all their details to specific [[neurons]] or synaptic connections. The [[knowledge instinct]] is described mathematically as maximization of a similarity measure. In the process of learning and understanding input, [[bottom-up signals (bottom-up neural signals)|bottom-up signals]], [[concept-models]] are adapted for better representation of the input signals so that similarity between the [[concept-models]] and signals increases. This increase in similarity satisfies the [[knowledge instinct]] and is felt as [[aesthetic emotions]].
The [[Knowledge Instinct]]
At a particular hierarchical level, we enumerate [[neurons]] by index n N. These [[neurons]] receive input, [[bottom-up signals (bottom-up neural signals)|bottom-up signals]], X(n), from lower levels in the processing hierarchy.
==References==
| |||