What is matter, never mind What is mind, doesn’t matter. Or Does it !!??

Slides:



Advertisements
Similar presentations
Artificial Intelligence
Advertisements

S PECIAL S ENSES : S MELL Jenna Balderson Kaijaii Gomez Wick Linh Nguyen Sunny Xu.
Artificial Neural Network Motivation By Dr. Rezaeian Modified: Vali Derhami Yazd University, Computer Department HomePage:
Essam Eldin Abdel Hady Salama
Olfaction The Sense of Smell.
THE OLFACTORY SYSTEM BY: STEWART DIAZ. FUNCTION The olfactory system is pretty much the system you use to detect odor. The mechanism the system uses is.
Taste & Smell Pre-lab Web questions.
Vision, Hearing, and Smell: the Best-Known Senses
Sponge: Set up Cornell Notes on pg. 47
The sense of smell Outline Main Olfactory System Odor Detection Odor Coding Accessory Olfactory System Pheromone Detection Pheromone Coding 1.
SMELL AND TASTE Jeffrey Zhao, Michael Dawkins, Ryan Fischer, Leah Politte, Sarah Mariani, Alexa Stanley.
Taste and Smell The Chemical Senses.
Anthony J Greene1 Olefaction. Anthony J Greene2 Smell Chemical detection without the danger of ingesting poison Object identification Sexual signaling.
Olfactory The sense of smell Olfactory Bulbs The olfactory bulbs relay sensory signals to the olfactory tract. small axons from the olfactory epithelium.
The Special Senses Gustation (taste) Olfaction (smell) Hearing Equilibrium (balance) Vision (sight) Chapter 17.
{ Need some help today???? I’ve got your back..
Hursh Patel Sharon Li.  Why do you think taste and smell work so closely together?  How many taste buds does an average human have?  What is a Tastant?
The sense of smell Outline Main Olfactory System Odor Detection Odor Coding Accessory Olfactory System Pheromone Detection Pheromone Coding 1.
CHEMICAL SENSES Olfaction – Receptors – Olfactory Pathway Taste – Basic qualities – Receptors – Taste Pathway – Supertasters.
Principles of Biology By Frank H. Osborne, Ph. D. Lab 8 - The Nervous System.
1 Sense of Smell. Smell (=Olfaction) 2 Normal individual can discriminate more than odors, but not highly developed in human as in some animals.
Machine Learning. Learning agent Any other agent.
Chapter 14: Artificial Intelligence Invitation to Computer Science, C++ Version, Third Edition.
Introduction to Neural Networks. Neural Networks in the Brain Human brain “computes” in an entirely different way from conventional digital computers.
IE 585 Introduction to Neural Networks. 2 Modeling Continuum Unarticulated Wisdom Articulated Qualitative Models Theoretic (First Principles) Models Empirical.
Olfactory, Gustatory Objectives: For each sense identify… specialized organs, anatomy receptor structure and specializations receptor signal transduction.
 The most intelligent device - “Human Brain”.  The machine that revolutionized the whole world – “computer”.  Inefficiencies of the computer has lead.
ARTIFICIAL NEURAL NETWORKS. Introduction to Neural Networks.
Artificial Neural Networks. Applied Problems: Image, Sound, and Pattern recognition Decision making  Knowledge discovery  Context-Dependent Analysis.
1 Machine Learning The Perceptron. 2 Heuristic Search Knowledge Based Systems (KBS) Genetic Algorithms (GAs)
A New Theory of Neocortex and Its Implications for Machine Intelligence TTI/Vanguard, All that Data February 9, 2005 Jeff Hawkins Director The Redwood.
A New Artificial Intelligence 5 Kevin Warwick. Philosophy of AI II Here we will look afresh at some of the arguments Here we will look afresh at some.
Olfaction The Sense of Smell.
The Chemical Senses Olfaction detects airborne chemicals –Our sense of smell Gustation detects chemicals in solution that come into contact with receptors.
Kelsey Inman Elissa Stiles Cameron Ponder Joey Trejo.
Features of Biological Neural Networks 1)Robustness and Fault Tolerance. 2)Flexibility. 3)Ability to deal with variety of Data situations. 4)Collective.
Neural Networks Steven Le. Overview Introduction Architectures Learning Techniques Advantages Applications.
SIMULATIONS, REALIZATIONS, AND THEORIES OF LIFE H. H. PATTEE (1989) By Hyojung Seo Dept. of Psychology.
The Smells Lab WHY DOES MOLECULAR STRUCTURE MATTER?
Neural Networks Presented by M. Abbasi Course lecturer: Dr.Tohidkhah.
Dr.Abeer Mahmoud ARTIFICIAL INTELLIGENCE (CS 461D) Dr. Abeer Mahmoud Computer science Department Princess Nora University Faculty of Computer & Information.
Special Senses 12.1 Olfaction.
Olfaction. Smell Classification Odors Odorants Anatomy of the Nose Olfactory Cleft Primary Olfaction Cortex Amygdala-Hippocampal Complex Entorhinal Cortex.
Presented by:- Reema Tariq Artificial Intelligence.
BLUE BRAIN Prepared by: Hardik Kanjariya.
Sensory Pathways and Sensations Humans can distinguish among many different types of internal and external stimuli because we have highly developed sensory.
Seth Kulman Faculty Sponsor: Professor Gordon H. Dash.
1 Azhari, Dr Computer Science UGM. Human brain is a densely interconnected network of approximately neurons, each connected to, on average, 10 4.
Intro. ANN & Fuzzy Systems Lecture 3 Basic Definitions of ANN.
Sense of Smell Dr.Mohammed Sharique Ahmed Quadri Assistant Professor Physiology Al Maarefa College 1.
Michael Holden Faculty Sponsor: Professor Gordon H. Dash.
Chapter 13 Artificial Intelligence. Artificial Intelligence – Figure 13.1 The Turing Test.
Classification of models
Artificial Intelligence, P.II
Special Senses.
Sponge: Set up Cornell Notes on pg. 47
Lauren, Bre, Savhannah, Meg, Evan
INFORMATION COMPRESSION, MULTIPLE ALIGNMENT, AND INTELLIGENCE
Artificial Intelligence (CS 370D)
Artificial Intelligence
Dr. Unnikrishnan P.C. Professor, EEE
What is Pattern Recognition?
Domina Petric, MD Olfaction.
The nose knows.
PSY391S March 8, 10, 2006 John Yeomans
بسم الله الرحمن الرحيم Sense of Smell.
The Senses – The Nose.
How Does the Brain Smell?
Machine Learning.
Summary Presentation of Cortical Computing with Memrisitve Nanodevices
Presentation transcript:

What is matter, never mind What is mind, doesn’t matter. Or Does it !!??

John Connor: So can learn stuff you haven’t been programmed with, so that you can be more…. u know … …more Human ! ! ? The Terminator: My CPU is a neural net processor, a learning computer. The more contact I have with humans the more I learn.

Learning Machines (No longer Science Fiction, but a scientific reality) Imagine an artificial “intelligent” system, which operates beyond the realms of conventional programming. It operates just as humans do, by learning and through experience. Such systems are not mere figments of science fiction but, can actually be realized using Neural Networks Systems.

So What are Neural Networks !?? Artificial Neural networks are mathematical models that emulate some of the observed properties of biological nervous systems and draw on the analogies of adaptive biological learning. WHOA !! Well its basically simulation of the characteristics observed in the brain, by an artificial model.

Quantum Leap in thinking Conventional Programming Code is Rigid, “hardwired”, and non adaptive It does not “learn” and “evolve”. Not “intelligent” (Does not make decisions and conclusions on its own) The Neural Network Approach Learning Systems: System can learn beyond its conventional programming Neurobiological Analogy : Better models the human brain Fault tolerant: Performance degrades gracefully under adverse operating conditions

Science Robotic Movements Learning Machines Medical Breast Cancer Heat Attack Diagnosis ER Test Ordering Pattern Reconition Speech Recognition Article Classification Stocks Corporate Bonds Stock Price Prediction Natural Gas Prediction Current Applications of Neural Networks

Hmmm… It smells good ! ! ! Work Currently being carried out by the department Olfaction: The Sense of Smell We receive odor at the nose Odor source Brain process odor signals Our goal is to develop mathematical models of olfactory bulb, which processes the odor signals

The Olfactory Bulb specializes in processing the molecular signals that give rise to the sense of smell. It is located in the anterior region of the brain just above the nasal cavity. The olfactory bulb receives input from the olfactory sensory neurons and sends its output directly to the olfactory cortex. Pathways of sense of smell : The Olfactory Bulb

Olfactory Bulb: Sequence of Events 2. Each olfactory sensory neuron expresses only a single type of receptor 1. Odors are first received on olfactory epithelium, where 1000 different types of receptors are present 3. Neurons expressing a given receptor project their axons to common glomeruli within olfactory bulb 4. Signals from glomeruli are then processed by Mitral & Granule cells 5. The output of the olfactory bulb is then sent to higher brain for further processing, by mitral cell

Modelling of the Olfactory System  The current research aims at developing mathematical models of the olfactory system which simulate the Olfactory Bulb per se. Such a model will enable one to mathematically define and capture the processes of Olfaction  Focus is on developing a Neural Network which will both biologically and characteristically simulate the Olfactory System

Iren Valova, PhD Assistant Professor Dion 302D, Computer and Information Sciences Dept. University of Massachusetts Dartmouth 285 Old Westport Rd. North Dartmouth, MA tel: (508) fax: (508) Homepage: CONTACT INFORMATION Prashant Ram Research Assistant Neural and Adaptive Systems Lab Dion 303, Computer and Information Sciences Dept. University of Massachusetts Dartmouth 285 Old Westport Rd. North Dartmouth, MA tel: (508) Ahmed Ilyas Research Assistant Neural and Adaptive Systems Lab Dion 303, Computer and Information Sciences Dept. University of Massachusetts Dartmouth 285 Old Westport Rd. North Dartmouth, MA tel: (508)