Learning and Hopfield Networks 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 Berend et al. (2015) 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. General Requirements: Use the following information to ensure successful completion of the assignment: This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center. Refer to the Publication Manual of the American Psychological Association for specific guidelines related to doctoral level writing. The Manual contains essential information on manuscript structure and content, clear and concise writing, and academic grammar and usage. This assignment requires that at least two additional scholarly research sources related to this topic, and at least one in-text citation from each source be included. You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance. Directions: Write a paper of 1,250-1,500 words in which you 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.