ECEN 4831 - Brains, Minds, & Computers
||ECEN 4831 (3). Brains, Minds, & Computers.
Provides background for the design of artificially intelligent systems
based upon our present knowledge of the human brain. Includes similarities
and differences between the brain and computers, robots, and common
computer models of brain and mind. Emphasizes the neuron as an information
processor, and organization of natural as well as synthetic neural
(Meets with ECEN 5831.)
Credits and Design
||3 credit hours. Selected elective course.
Circuits as Systems, or
Circuits for Non-Majors
||Eric R. Kandel, James H. Schwartz, and Thomas M. Jessel,
Principles of Neural Science, 4th Edition, McGraw Hill, 2000,
ISBN-13 978-0-8385-7701-1, plus journal articles and reprints on reserve
in the Math/Engineering library.
For students to:
- Understand the human nervous system.
- Appreciate the similarities and differences between the human
nervous system and computers.
- Understand how to write research and development proposals in the
area of neural and biomedical engineering.
After taking this course students will be able to recognize and use
the following concepts, ideas, and/or tools:
- How the brain works, from a
bioelectrical and a computer point of view.
- Brain simulation using computers
to better understand brain function.
- Artificial neural networks, using
biophysical principles of neural signal processing.
- Information and sensory input
comparison in brains and computers.
- Course intro -- Intersections of brains, minds & computers
- Functional anatomy of the brain and of nerve cells
- The language of neurons and neuronal signaling
- Neuronal basis of behavioral responses
- The "nanotechnology" of nerve cell membranes
- Ionic channels and liquid state ionics
- Biophysical basis of neural membrane potentials
- Passive signaling in neurons-cable properties
- Neural signaling via action potentials
- Synaptic transmission of neural information
- Modeling the brain: Simplified vs. realistic models
- Modeling voltage-activated channels: Hodgkin-Huxley model
- Modeling synapses and other ionic conductances
- Biologically realistic neural network models
- Recording and processing neural signals from human brains
- The electroencephalogram and the magnetoencephalogram
- Metabolic signals from the brain-basis of the FMRI
- Brain - computer interfaces in treating brain malfunctions
- Neurotransmitter release and neural "plasticity"
- Biophysics of learning and memory
- Cellular memories are made of what?
- Sensory reception and perception
- Optics of the eye and retinal image processing
- Visual image perception in the brain
- Sensory transduction in the ear
- The artificial cochlea and other neural prostheses
Last revised: 05-20-11, PM, ARP.