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bionics-engineering:computational-neuroscience:start [28/03/2017 alle 10:57 (7 anni fa)]
Davide Bacciu Upload slides Lecture 8 |
bionics-engineering:computational-neuroscience:start [30/05/2017 alle 08:37 (7 anni fa)] (versione attuale)
Alessio Micheli [Lectures] |
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| ===== News ===== | ===== News ===== |
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| | **(07/04/2017)** The lecture missed due to Easter holidays will be recovered on Thursday 20/04/2017, Room B24, from 10.30 to 13.30. |
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| **(21/02/2017)** Course Didawiki updated with course information and first lesson for academic year 2016/17. | **(21/02/2017)** Course Didawiki updated with course information and first lesson for academic year 2016/17. |
| | 5 | 15/03/17 (15.30 - 18.30)| Implementing Spiking Neurons using Izhikevich's Model| {{:bionics-engineering:computational-neuroscience:LaboratoryAssignment-spikinglab1-1_b.pdf | Lab1-1-assignment}} | | | 5 | 15/03/17 (15.30 - 18.30)| Implementing Spiking Neurons using Izhikevich's Model| {{:bionics-engineering:computational-neuroscience:LaboratoryAssignment-spikinglab1-1_b.pdf | Lab1-1-assignment}} | |
| | 6 | 20/03/17 (11.30 - 13.30)| Statistics for In-vitro neuro-astrocyte culture| {{:bionics-engineering:computational-neuroscience:Lecture_W_20317.pdf | Lecture 6 - seminar}} | | | 6 | 20/03/17 (11.30 - 13.30)| Statistics for In-vitro neuro-astrocyte culture| {{:bionics-engineering:computational-neuroscience:Lecture_W_20317.pdf | Lecture 6 - seminar}} | |
| | 7 | --/--/-- | Introduction to Liquid State Machines| {{:bionics-engineering:computational-neuroscience:NeuralModeling_3.pdf | Lecture 7}} | | | 7 | 22/03/17 (15.30 - 18.30) | Introduction to Liquid State Machines| {{:bionics-engineering:computational-neuroscience:NeuralModeling_3.pdf | Lecture 7}} | |
| | 8 | --/--/--| Spikinglab2 - Liquid State Machines| {{:bionics-engineering:computational-neuroscience:LaboratoryAssignment-spikinglab2.pdf | Lab1-2-assignment}} | | | 8 | 27/03/17 (11.30 - 13.30)| Spikinglab2 - Liquid State Machines| {{:bionics-engineering:computational-neuroscience:LaboratoryAssignment-spikinglab2.pdf | Lab1-2-assignment}} | |
| | 9 | 29/03/17 (15.30-18.30) | Representation Learning - Synaptic Plasticity and Hebbian Learning | {{bionics-engineering:computational-neuroscience:1-unsuplearn-hand-2017.pdf|Lecture 8}}\\ //References//:\\ [DAYAN] Sect. 8.1-8.3\\ [PANINSKI] Sect 19.1, 19.2.1, 19.3.1, 19.3.2 | | | 9 | 29/03/17 (15.30-18.30) | Representation Learning - Synaptic Plasticity and Hebbian Learning | {{bionics-engineering:computational-neuroscience:1-unsuplearn-hand-2017.pdf|Lecture 8}}\\ //References//:\\ [DAYAN] Sect. 8.1-8.3\\ [PANINSKI] Sect 19.1, 19.2.1, 19.3.1, 19.3.2 | |
| | | 10 | 03/04/17 (11.30-13.30) | Associative Memories I - Hopfield Networks | {{bionics-engineering:computational-neuroscience:2-hopfield-hand-2017.pdf|Lecture 9}}\\ //References//:\\ [DAYAN] Sect. 7.4 (Associative Memory part)\\ [PANINSKI] Sect. 17.1, 17.2 | |
| | | 11 | 05/04/17 (15.30-18.30) | Lab 2.1 - Hebbian learning and Hopfield networks | [[lab2.1|Assignment 2.1]] | |
| | | 12 | 10/04/17 (11.30-13.30) | Associative Memories II - Stochastic networks and Boltzmann machines | {{bionics-engineering:computational-neuroscience:3-boltz-hand-2017.pdf|Lecture 10}}\\ //References//:\\ [DAYAN] Sect. 7.6\\ \\ //Further readings//:\\ [[bionics-engineering:computational-neuroscience:start#further_readings|[1]]] A clean and clear introduction to RBM | |
| | | 13 | 12/04/17 (15.30-18.30) | Lab 2.1b - Hebbian learning and Hopfield networks (continued) | | |
| | | | 17/04/17 (11.30-13.30) | No class due to [[https://en.wikipedia.org/wiki/Easter_Monday|Italian national holiday]] | | |
| | | 14 | 20/04/17 (10.30-13.30) | Lecture 11\\ Part 1: Adaptive Resonance Theory\\ Part 2: Representation learning and deep NN \\ **Recovery Lesson: will be held in room B24** | {{bionics-engineering:computational-neuroscience:4-art-hand-2017.pdf|Lecture 11 - Part 1}}\\ {{bionics-engineering:computational-neuroscience:5-deep-hand-2017.pdf|Lecture 11 - Part 2}}\\ //References//:\\ [DAYAN] Sect. 10.1\\ \\ //Futher Readings//:\\ A gentle introduction to ART networks (with coding examples) can be found [[http://cannes.itam.mx/Alfredo/English/Publications/Nslbook/MitPress/157_170.CH08.pdf|here]]\\ [[bionics-engineering:computational-neuroscience:start#further_readings|[2]]] A classic divulgative paper from the initiator of Deep Learning \\ [[bionics-engineering:computational-neuroscience:start#further_readings|[3]]] Recent review paper \\ [[bionics-engineering:computational-neuroscience:start#further_readings|[4]]] A freely available book on deep learning from Microsoft RC| |
| | | 15 | 03/05/17 (15.30-18.30) | Module conclusions and Lab 2.2 | [[lab2.2|Assignment 2.2]] \\ {{bionics-engineering:computational-neuroscience:topicsmodule2.pdf|List of presentation and project topics for the second module}} | |
| | | 16 | 08/05/17 (11.30-13.30) | Introduction to RNN: tasks and basic models | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Lecture and info multifiles]] | |
| | | 17 | 10/05/17 (15.30-18.30) | Introduction to RNN: properties and taxonomy; intro to learning by BPTT | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Lecture and info multifiles (also RNN learning)]] | |
| | | 18 | 15/05/17 (11.30-13.30) | Introduction to RNN: learning by RTRL| [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Lecture and info multifiles (RNN learning)]] plus blackboard notes| |
| | | 19 | 17/05/17 (15.30-18.30) | Introduction to RNN: LAB3-1 - learning with IDNN and RNN| [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Info and assignment multifiles (see "RNN - LAB3-1" section). New version 1.1]] | |
| | | 20 | 22/05/17 (11.30-13.30) | Introduction to RNN: Reservoir Computing | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Lecture and info multifiles (ESN)]] | |
| | | 21 | 24/05/17 (15.30-18.30) | Introduction to RNN: LAB 3-2 - learning with ESN | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Info and assignment multifiles (see "RNN - Lab2" section). ]] | |
| | | 22 | 29/05/17 (11.30-13.30) | Introduction to RNN: LABs 3-1 and 3-2 continue | [[http://www.di.unipi.it/~micheli/DID/CNS/CNS-2017/part3/| Info and assignment multifiles ]] | |
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| ===== Past Editions ===== | ===== Past Editions ===== |
