(Copyright © 2006 Piero Scaruffi | Legal restrictions - Termini d'uso )
The American psychologist Arnold Trehub offers models of cognition that
lend themselves to computational simulation.
He begins by assuming that long-term memory is implemented through the axon transfer factor (ATF) and the dendrite transfer factor (DTF), whereas short-term memory is implemented through autaptic cells, i.e. neurons capable of positive feedback.
Trehub envisions a synaptic matrix as the structure capable of creating and
maintaining associative memory thanks to the mechanisms (ATF and DTF) for long-term memory, and a retinoid as the structure capable of dynamic buffering
thanks to the mechanism (autaptic cells) for short-term memory.
Trehub then proceeds to formulate models for
learning, planning, pattern recognition, scene assembly, narrative comprehension, etc.
TM, ®, Copyright © 2006 Piero Scaruffi