Among the prominent types of neural networks studied by cognitive scientists, Hopfield networks most closely model the high-degree of interconnectedness in neurons of the human cortex. The papers by McClellan et al. (1995) and Maurer (2005) discuss learning systems in the human brain-mind system and the role of Hopfield networks as models for actual human learning including sequence of items learned. This resonates with Chomsky's emphasis on the role of syntax and word sequence in language learning.
*Argue for or against the notion that Hopfield networks not only share characteristics of learning in the brain-mind system but also that they are useful analytic tools.© BrainMass Inc. brainmass.com September 25, 2018, 11:31 pm ad1c9bdddf - https://brainmass.com/psychology/cognitive-psychology-theories-and-theorists/hopefield-networks-learning-systems-601011
A neural network (e.g. artificial network) is a mathematical or computational model that is based on the structure and functional aspects of biological networks, The neural network is similar to the interconnect neurons in the brain system that is made up of neurons, axons, dendrites and synapses that are elements of the biological network of the brain. Axon are processes at the end of cells, dendrites are the material that receive synaptic contacts from other neurons, and synapses are the gaps between neurons in which chemical signals are transmitted (Pinel, 2006). The Hopfield network is a form of a recurrent artificial neural network that was invented by John Hopfield (1982) in which Hopfield nets served as a memory systems consisting of threshold nodes. Among the prominent types of neural networks studied by cognitive scientists, the model of the Hopfield networks most closely resemble the interconnectedness in neurons of the human cortex of the brain.
The brain is made up of many systems, structures and cells that make up the Central Nervous System (CNS). The cells that divide become neurons, and exist in the CNS along neural pathways via both physical and chemical factors. The CNS, interconnected chambers or ventricles make up the major parts of the brain, the forebrain, the midbrain, and the hindbrain (Pinel, 2006). Research is presented to explain the human brain as a collection of neurological mechanisms that are wired to carry out many functions. For instance, the left and right brain have different abilities and carry out various functions, independently (Gazzaniga, 2002). The interpretive mechanism of the left hemisphere of the brain is wired to interpret the meaning of events focused on order and reason; whereas the right hemisphere brain performs in regard to spatial relations. The left hemisphere is stated to be dominant for ...
This solution compares the interconnected activity of neural network and neuronal brain activity. Hopefield networks are examined.