Θα λέγατε πως οι ρέγγες (herrings) έχουν νοημοσύνη? Ένα αντίγραφο του προέδρου Ομπάμα (ή του Σαμαρά) που δεν μπορεί να ξεχωρίσει κανείς από το πρωτότυπο - ούτε καν οι πιο κοντινοί του συγγενείς και φίλοι, θα λέγατε πως είναι ο Ομπάμα (ή ο Σαμαράς)? Δευτέρα, Απριλίου 29, 2013
Ρέγγες και νοημοσύνη
Θα λέγατε πως οι ρέγγες (herrings) έχουν νοημοσύνη? Ένα αντίγραφο του προέδρου Ομπάμα (ή του Σαμαρά) που δεν μπορεί να ξεχωρίσει κανείς από το πρωτότυπο - ούτε καν οι πιο κοντινοί του συγγενείς και φίλοι, θα λέγατε πως είναι ο Ομπάμα (ή ο Σαμαράς)? 
Παρασκευή, Απριλίου 19, 2013
Μόλις ξεκίνησε στο Coursera τμήμα για Υπολογιστική Νευροεπιστήμη
Welcome to the Fascinating World of Computational Neuroscience!
Hello Aspiring Computational Neuroscientist!
Your journey into the brave new world of Computational Neuroscience begins today! The Computational Neuroscience course website is now officially open.
We are delighted that you will be joining us on this 8-week expedition into the computational mysteries of that marvelous machine, our brain.
As mentioned by President Obama in his recent announcement of the BRAIN initiative, understanding how the brain works is one of the biggest challenges in science today, with profound implications not only for how we treat neurological diseases but also for how we view ourselves as humans.
The goal of this course is to introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave exercises to gain a deeper understanding of concepts and methods introduced in the course. No prior background in neuroscience is required but familiarity with basic concepts in linear algebra, calculus, and probability theory would be useful.
Each week, we will release one lecture video, divided into short segments. We have included embedded quiz questions within the lecture videos to help you better understand the concepts introduced (you can choose to answer these or skip). This week’s lecture includes an Introduction to Computational Neuroscience, along with a primer on Basic Neurobiology. You will find this week’s videos under “Video Lectures” on the course website. A week-by-week schedule of lecture topics can be found in the “Syllabus & Schedule” section of the course website. No textbook is required for the course but we will roughly follow the topics covered in the bookTheoretical Neuroscience by Peter Dayan and Larry Abbott (MIT Press).
The course will also feature surprise guest lectures by some leading researchers in Computational Neuroscience - you will receive announcements regarding these surprise guest lecture videos via email.
Each week, we will give you 1 homework quiz consisting of multiple-choice questions (see "Homework Quizzes"section). These will typically cover the topics in that week’s lecture. Some quiz questions may be based on the result you get after programming or analyzing data in Matlab/Octave. You will find tutorials on Matlab/Octave programming under the “Matlab & Octave Code” section of the course website. This week’s homework quiz, which is optional, tests your familiarity with Matlab/Octave programming.
Your course grade will be based on your performance in the weekly homework quizzes (there will be no exams in this course). Homeworks will usually be released on Fridays and will be due on the second Monday after release date. Late homework submissions will be accepted with a 10% penalty for 4 days after the due date until the “hard deadline.” Each weekly homework quiz will contribute equally to your final course score (except Quiz 1, the Matlab/Octave quiz, which is optional and will not contribute to your score). You may attempt each quiz up to 3 times until the hard deadline for that quiz. The maximum score from your attempts will be your score for the quiz. Your final course grade will be the average of all your quiz scores.
You will get a Certificate of Accomplishment from the instructors if your final course grade is > 60% of the maximum possible course grade.
https://class.coursera.org/compneuro-001/class/index
Your journey into the brave new world of Computational Neuroscience begins today! The Computational Neuroscience course website is now officially open.
We are delighted that you will be joining us on this 8-week expedition into the computational mysteries of that marvelous machine, our brain.
As mentioned by President Obama in his recent announcement of the BRAIN initiative, understanding how the brain works is one of the biggest challenges in science today, with profound implications not only for how we treat neurological diseases but also for how we view ourselves as humans.
The goal of this course is to introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave exercises to gain a deeper understanding of concepts and methods introduced in the course. No prior background in neuroscience is required but familiarity with basic concepts in linear algebra, calculus, and probability theory would be useful.
Each week, we will release one lecture video, divided into short segments. We have included embedded quiz questions within the lecture videos to help you better understand the concepts introduced (you can choose to answer these or skip). This week’s lecture includes an Introduction to Computational Neuroscience, along with a primer on Basic Neurobiology. You will find this week’s videos under “Video Lectures” on the course website. A week-by-week schedule of lecture topics can be found in the “Syllabus & Schedule” section of the course website. No textbook is required for the course but we will roughly follow the topics covered in the bookTheoretical Neuroscience by Peter Dayan and Larry Abbott (MIT Press).
The course will also feature surprise guest lectures by some leading researchers in Computational Neuroscience - you will receive announcements regarding these surprise guest lecture videos via email.
Each week, we will give you 1 homework quiz consisting of multiple-choice questions (see "Homework Quizzes"section). These will typically cover the topics in that week’s lecture. Some quiz questions may be based on the result you get after programming or analyzing data in Matlab/Octave. You will find tutorials on Matlab/Octave programming under the “Matlab & Octave Code” section of the course website. This week’s homework quiz, which is optional, tests your familiarity with Matlab/Octave programming.
Your course grade will be based on your performance in the weekly homework quizzes (there will be no exams in this course). Homeworks will usually be released on Fridays and will be due on the second Monday after release date. Late homework submissions will be accepted with a 10% penalty for 4 days after the due date until the “hard deadline.” Each weekly homework quiz will contribute equally to your final course score (except Quiz 1, the Matlab/Octave quiz, which is optional and will not contribute to your score). You may attempt each quiz up to 3 times until the hard deadline for that quiz. The maximum score from your attempts will be your score for the quiz. Your final course grade will be the average of all your quiz scores.
You will get a Certificate of Accomplishment from the instructors if your final course grade is > 60% of the maximum possible course grade.
https://class.coursera.org/compneuro-001/class/index
Τετάρτη, Απριλίου 17, 2013
Κυριακή, Απριλίου 14, 2013
Συνέδριο για τον πόνο του άλλου
Συνέδριο με θέμα τον πόνο, πραγματοποιείται στα πλαίσια της ερευνητικής δραστηριότητας "The pain project". Η διευρεύνηση της συσχέτισης του πόνου μετα συναισθήματα και την αντίληψη δεν είναι καθόλου αυτονόητη και οι απαντήσεις κάθε άλλο παρά προφανείς. Περισσότερα εδώ: http://www.davidbain.org/pain/the-pain-conference
 |
Κυριακή, Απριλίου 07, 2013
Σειρά ομιλιών "ο νους στον κόσμο"
Τρίτη, Απριλίου 02, 2013
απόπειρες προσομοίωσης deja-vu στο εργαστήριο
http://bps-research-digest.blogspot.gr/2009/05/simulating-deja-vu-in-lab.html
Εγγραφή σε:
Αναρτήσεις (Atom)