Principles of neural science 4th edition pdf

CreateSpace Independent Publishing Platform. Heuristic principles for the design of artificial neural Networks. Author : Bogdan M. IEEE Trans. Neural Netw. Machine Learning and Cybernetics , pp. A simple procedure for pruning back - propagation trained neural networks.

Author : Tavis D. Jules, Florin D. Ultimate guide to building a machine learning anomaly detection system, Pt. Author : C. Judd , " Neural network design and the complexity of learning " 6.

Lenzerini , ed. Self-Organization and Associative Memory 3rd Edition. Using artificial neural network for reservoir eutrophication prediction. Learning differential diagnosis of erythemato - squamous diseases using voting feature interval , Artificial When both individuals and populations search: Adding simple learning to the genetic algorithm.

Schaffer Ed. Michalski , R. Bear, M. Squire, L. Appreciate the role of control and communication in the 1. Appreciate the role of control and communication in the nervous nervous system in Biomedical system in the field of biomedical engineering. Engineering [f,h,j] 2. Learn the relationship between brain and behavior [g] 2. Study the relationship 2. Differentiate between distinct functional regions of the brain [a] between brain and behavior 2.

Identify the loci of cognitive functions, and their mental [a,e,g] representation. Study the classes, structure, 3. Differentiate between classes of cells within the nervous system [a,e] and organization of nerve cells 3.

Explain the mechanism of signaling networks, their organization, [a,c,e,i,g,j,k] and their ability for conveying unique information [a] 4. Analyze the origin of signals 4. Identify the types ion channels and signaling, the characteristics and and signaling capability in the structure of ion channels, the origin of membrane potential. Calculate the balance of ion fluxes, the contribution of different ions to this balance, and construct an electrical equivalent circuit.

Define Local signaling and its relation to passive electrical properties of neurons. Study local signaling in the 5. Calculate membrane input resistance and membrane capacitance nervous system [a,c,e,g,j,k] [a,e,g,j,k] 5.

Calculate the efficiency of signal conduction, and velocity of propagation [a,e,g,j,k] 6. Explain propagated signaling [a,j,k] 6.

Analyze synaptic transmission, chemical vs. Determine the quantal units involved in transmitter release [a,c,e,g,j,k] 6. Study propagated signaling 6. Analyze Glutamate, GABA, and Glycine mediated channels, as well as the integration of excitatory and inhibitory signals by these channnels.

Groupe synapses according to function [a,c,e,g,j,k] 7. Correlate the coding of 7. Explain the coding of sensory information [a] sensory information to 7. Correlate stimulus with sensation in the nervous system. Analyze the spatial distribution of sensory neurons, stimulus distribution. Apply neuro-communication visual attention, conscious awareness, and visual processing.

Encourage life long learning, foster teamwork and enhance 9. First Exam 11th Nov. Second Exam 7th Dec. PowerPoint presentations will be prepared for the course materials.

Then, the students would have a lecture on new materials using PowerPoint presentations and blackboard. The lecture presentation will be paused every 15 — 20 minutes with brainstorming questions and discussions that will allow the students to reflect and think in more depth about what they learned in that presentation.