About this Course
724개의 평가
194개의 리뷰

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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

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완료하는 데 약 31시간 필요

권장: 16 hours...


자막: 영어

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 31시간 필요

권장: 16 hours...


자막: 영어

강의 계획 - 이 강좌에서 배울 내용

완료하는 데 2시간 필요

Brain Excitements for the 21st Century

Welcome to synapses, neurons and brains!...
8 videos (Total 74 min), 5 readings
8개의 동영상
Welcome Words and Great Thinkers9m
The Blossoming of the Brain in the World7m
The Connectomics10m
Brain Machine Interface BMI16m
Simulation of the Brain - Blue Brain Project8m
5개의 읽기 자료
About the Course10m
Course Staff10m
Course Information10m
How to Use Discussion Forums10m
Lecture Slides10m
완료하는 데 2시간 필요

The Materialistic Mind - Your Brain's Ingredients

This module's purpose is to acquaint you with "The materialistic mind – your brain’s ingredients". You will become intimately acquainted with the beauty and variety of neurons – the elementary building block/microchips of the brain. We will highlight a big controversy between two great anatomists (Ramon y Cajal and Camillo Golgi) who both received the Nobel Prize in 1906. They asked whether the neuron is a separate “independent” unit (like other cells in other tissues) or whether it is part of a continuum? We will next discuss the neuron as an input-output device and highlight a key property of the nervous system, namely that neurons connect to each other via a wonderful devise called “synapse”....
8 videos (Total 82 min), 1 reading, 1 quiz
8개의 동영상
The Neuron Doctrine9m
The Neuron as I/O Device Part I8m
The Axon14m
The Dendrite8m
Neuron Type11m
The Synapse14m
The Neuron as I/O Device Part II7m
1개의 읽기 자료
Lecture Slides10m
1개 연습문제
Brain Excitements for the 21st Century and The Materialistic Mind28m
완료하는 데 2시간 필요

Electrifying Brains –Passive Electrical Signals

In this module we will discuss the "Electrifying brain – passive electrical signals". We will show that neurons are electrical device and learn what enables neurons to become “electrifying”. Here we will describe only the passive (vs. active) electrical properties of neurons. We will show that, at the quiescent state, the difference in electric potential across the cell’s membrane is always negative inside the cell (“the “resting potential”); we next show that the membrane behaves like an electrical (resistance-capacitance) RC circuit and highlight the notion of “membrane time constant” and, consequently, the ability of neurons to summate (in time) successive (synaptic) inputs (“electrical memory”) – a fundamental mechanism utilized by the brain. We will also show that when the synapse is activated, it generates an analog electrical signal (“the post-synaptic potential”, PSP) in the receiving (“post-synaptic”) cell. Most interestingly, there are two types of synapses in the brain – “excitatory” and “inhibitory” – we will discuss how these two opposing signals interact in the receiving ``neuron. This module is more technical than the more descriptive first two lessons; we encourage those of you who are not familiar with basic electricity (resistance, capacitance, Ohms law and Kirchoff’s law) to read about these in the sources links for this week’s lecture....
11 videos (Total 105 min), 1 reading, 1 quiz
11개의 동영상
The Voltage Equation for the Passive Cell9m
The Membrane Time Constant14m
Temporal Summation9m
The Resting Potential8m
The Synaptic Potential Part 19m
The Synaptic Conductance6m
The Synaptic Battery10m
The Synaptic Potential Part 28m
The Voltage Equation for the Synapse and EPSP and IPSP13m
1개의 읽기 자료
Sources for Lesson 310m
1개 연습문제
Electrifying Brains –Passive Electrical Signals22m
완료하는 데 2시간 필요

Electrifying Brains – Active Electrical Spikes

In this module we are covering "Electrifying brains – active electrical spikes". In the previous module we learned that: 1-neurons are electrical devices, 2 - that the membrane behaves as an RC circuit, 3 - that synapses operate by opening a new cross-membrane conductance attached with a battery. In the present module we will proceed to deal with the active electrical aspects of neurons. Synaptic inputs are the elementary (input) sources to neurons and, typically, many (excitatory) of them are required to summate (“temporal summation”) to generate a highly (“all or none”) output signal – the notorious spike (or “action potential”). In our current understanding, sensory, motor, emotional, etc., information is represented by a particular set of neurons that “fire” these spikes. So no movies or music in your brain only spikes representing (coding for) these movies and music. We will focus on the membrane mechanisms underlying the generation of the spike and in particular on the model of Hodgkin & Huxley for the spike which is probably the most fundamental and beautiful model in neuroscience. Hodgkin & Huxley received the Nobel Prize in 1963. ...
5 videos (Total 80 min), 1 reading, 1 quiz
5개의 동영상
The All or None Spike and the Voltage Clamp11m
Membrane Currents Underlying the Spike14m
Modeling the Membrane Currents14m
The H&H Spike Model24m
1개의 읽기 자료
Lecture Slides10m
1개 연습문제
Electrifying Brains – Active Electrical Spikes26m
완료하는 데 2시간 필요

Neurons as Plastic/Dynamic Devices

This module discusses "Neurons as plastic/changing devices". Probably the most unique aspect of the nervous tissue is its amazing capability to constantly and adaptively change in response to a challenging environment; this capability enables us to learn and to store memories. We start by a short discussion about the notion of learning in the brain and then highlight various mechanisms that support learning and memory – introducing the term ‘neuronal plasticity”. In particular “functional plasticity”, whereby the efficacy of existing synapses is changed as well as “structural plasticity”, whereby learning/memory processes are associated with anatomical changes - the formation of new synaptic connections and with neurogenesis – the birth of new nerve cells (yes, also in the adult brain). A mathematical model that captures some aspects of functional plasticity will also be introduced together with several new exciting experimental finding related to “neuronal plasticity”....
5 videos (Total 81 min), 1 reading, 1 quiz
5개의 동영상
Mechanisms Sub-Serving Learning and Memory11m
Functional Plasticity17m
Structural Plasticity10m
Neurogenesis and Learning18m
1개의 읽기 자료
Lecture Slides10m
1개 연습문제
Neurons as Plastic/Dynamic Devices26m
완료하는 데 2시간 필요

Cable Theory and Dendritic Computations

By now you are well equipped for a successful dive into this module's topic - "Cable theory and dendritic computations ". We are ready to make a conceptual “leap” and to discuss a fascinating topic. Namely, how the anatomical and electrical machinery of neurons endow neurons with computational capabilities. Computing the orientation of line and the direction of motion (in the visual system), or the location or intensity of sound (in the auditory system) and planning a movement for grasping a cup of coffee (in the motor system), are all computations that our brain performs effortlessly. The success of these computations is absolutely critical for our survival. Hubel and Wiesel (Nobel laureates in 1981) showed that nerve cells in the visual cortex of the cat are sensitive to the orientation of lines in the visual world (orientation selectivity). So that when you look at the world around you, you may “use” these cells to identify the angle of a tree (vertical) and of the eyes looking at you (horizontal). But how do nerve cells (and the brain as a whole) perform these computations? In the 1960's Wilfrid Rall regarded neurons as electrically-distributed elements (rather than as a “point” element and, consequently, he developed the “cable theory for dendrites” - highlighting the principles that govern the spread/attenuation of synaptic potentials (the cell’s input) from their dendritic site of origin to the soma/axon (the output) region. We will see that the cable properties of dendrites empower neurons with computational capabilities (e.g., neurons that compute the direction of motion). We will discuss a few early and more recent theoretical ideas on how the “neuronal hardware” – synapses, dendrites, axons and the signals that they carry - may implement elementary computations. We will end by providing a few recent and fantastic technological advances that enabled us, for the first time ever, to validate experimentally some of these theoretical ideas. We hope that you will enjoy this conceptual “leap” from discussing the biophysical properties of neurons to highlighting their computational functions....
6 videos (Total 113 min), 1 reading, 1 quiz
6개의 동영상
Computation at the Level of Single Neuron8m
Fundamentals of Dendritic Cable Theory17m
Rall Cable Theory for Dendrites30m
Dendritic Computation20m
Recent Breakthroughs20m
1개의 읽기 자료
Lecture Slides10m
1개 연습문제
Cable Theory and Dendritic Computations22m
완료하는 데 2시간 필요

Cortical Networks - Out of the Blue Project

This module is based on what you have learned in modules 3 to 6: how single cells function, how they are connected via (plastic) synapses to each other and how they might perform specific computations. Here we actually connect a network of neurons (using the “blue machine super computer”) so that we can simulate mathematically the activity of a large network (the “Blue Brain Project” BBP centered in EPFL, Lausanne, Switzerland). We know how to simulate a single neuron (the Hodgkin and Huxley model) and how to simulate synapses and dendritic cable (Wilfrid Rall model) so we can connect neuron models and build realistic networks in the computer. We started with simulating the mammalian neocortex, a relatively new structure in evolution (200 million years old). In each cubic mm of the neocortex (e.g., of rat), there are about 100,000 cells, 4 Km of wires (dendrites and axons) and about 100 million synapses. We can today integrate experimental data (anatomical and physiological) and mathematical methods, and come close to simulating the electrical and synaptic activity in several cubic mm of the neocortex. We will learn about the neocortex - including the neuron types it consists of - and how we go about simulating such a huge neural circuit. We will next discuss what could we learn from it and what are we aiming at next. We will end by describing the recently announced, EU Flagship Project – the “Human Brain Project” (HBP). The BBP served as a seed for the HBP, but the latter is much broader and even more ambitious, aiming at developing new approaches for treatments of brain diseases (so urgently needed) and advancing the future of neuroscience and of brain-inspired computing and robotics. ...
7 videos (Total 78 min), 1 reading, 1 quiz
7개의 동영상
The Blue Brain Project - The Start12m
The Cortical Column12m
A Cortical Column Networks11m
Blue Brain Simulations9m
From Mouse to Human5m
The Human Brain Project12m
1개의 읽기 자료
Lecture Slides10m
1개 연습문제
Cortical Networks - Out of the Blue Project20m
완료하는 데 2시간 필요

Perception, Action, Cognition and Emotions

During this module we will have a special lecture which will be given by Prof. Israel Nelken from the Hebrew University in Jerusalem, who will discuss "Perception, action, cognition and emotions". Until today we have focused mainly on the function of single cells and small networks. Module #8 dwells into higher level computations and especially "the story of sound". The auditory system converts sound into electrical signals. Hair cells, basilar membrane, the cochlea and others are all tools which the brain uses in order to translate the outer world into neuronal activity. The next step is perception – processing the sensory information into useful representation. One beautiful example is the case of using binaural cues for the localization of sound. Perception leads the organism to actions – the brain predicts the world and computes the action that will yield a maximal reward and avoid punishment. What happens in the case of surprises? Here, higher level computation is needed. We will end the lecture with emotions – What are they, how are they represented in the brain and how they affect our actions. ...
5 videos (Total 105 min), 1 reading
5개의 동영상
Early Processing of Sensory Information19m
How Sensory Information Guides Motion28m
Higher Order Processes of Sensory Information18m
1개의 읽기 자료
Lecture Slides10m
완료하는 데 2시간 필요

From Synapses to Free Will?

And then there are the “high level” fascinating questions that only recently brain researchers dared to ask. Do we have free will? And what is this subjective feeling of consciousness? These old-issues, previously dealt solely within the humanities and social sciences, receive recently new perspective within modern brain research. And the new understanding that emerged brings with it new ethical question (“Neuroethics”) – e.g., could we read thoughts directly from the brain (“brain polygraphs”)? This brings the question as to how similar are our individual brains in terms of representing and coding specific information (e.g., a face that we see)? Could we use brain scans/probes in order to communicate with the brain of people in coma? Is it possible to electrically stimulate the brain in order to improve our capabilities (“enhance cognition”)? These issues and others are awaiting for you in this module....
4 videos (Total 87 min), 1 reading, 1 quiz
4개의 동영상
Reading Thoughts Part 115m
Reading Thoughts Part 224m
Free Will?24m
1개의 읽기 자료
Lecture Slides10m
1개 연습문제
From Synapses to Free Will?18m
완료하는 데 1시간 필요

Course Conclusion

Within a short period of time you have mastered a great deal of material and we very much hope that you have enjoyed this experience of learning about the brain by using its unique plastic capabilities. We want to thank you for your active participation, for enabling us to improve during the course and for the many compliments which we received from many of you. ...
1 video (Total 10 min), 1 quiz
1개의 동영상
1개 연습문제
Final Exam20m
194개의 리뷰Chevron Right


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최상위 리뷰

대학: AAug 14th 2017

Excellent teaching by Sir. He has created one more enthusiast in the journey of decoding Human Brain. Thank you Sir, getting my basics clear and this will help me to be better Neuro/AI researcher.

대학: DDSep 18th 2015

It is a very interesting and well-done course about neurobiology. Prof. Sedev has many interactive tasks and he tries to explain details as easy as possible. All in all it is understandable.



Idan Segev

Computational Neuroscience

히브리대학교 정보

Ranked among the top academic and research institutions worldwide, the Hebrew University of Jerusalem is Israel's leading university and premier research institution. Serving 23,000 students from 70 countries, the Hebrew University produces a third of Israel’s civilian research and is ranked 12th worldwide in biotechnology patent filings and commercial development. The Hebrew University was founded in 1918 by visionaries including Albert Einstein, Sigmund Freud, Martin Buber and Chaim Weizmann. It is located on three campuses in Jerusalem and a fourth in Rehovot. Visit the website at http://new.huji.ac.il/en. Join our online learners community at https://www.facebook.com/groups/hujimooc/. ...

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