Artificiella Neuronnät och Neurofysiologi (2D1430, 6p)

LÄRARE
Anders Lansner (AL) - Head instructor
Örjan Ekeberg (ÖE)
Erik Fransén (EF)
Mikael Djurfeldt (MD)
Anders Sandberg (AS)

KURSLITTERATUR
H. Reichert: Introduction to Neurobiology (Thieme Verlag, Stuttgart 1992) (NB)
S. Haykin: Neural Networks (Second edition, Prentice Hall, London 1999) (NN)
Handouts

KURSKATALOG
Labanvisningar mm finns på kurskatalogen: /info/ann99/

Åter till Aktuell information.

SCHEMA OCH KURSINNEHÅLL

Vecka

Dag

Datum

Tid

Plats

Subject

Att läsa

Lärare

3

18/1

15-17

D2

Introduction; Nervous systems and ANN

NB:1

AL

 

To

21/1

15-17

E2

Cellular neurobiology: signal generation

NB:2

AL

4

25/1

15-17

D2

Cellular neurobiology: synaptic transmission

NB:3

EF

 

To

28/1

15-17

E2

Biophysical modeling of single cells

Kursbunt

AL

5

1/2

15-17

D2

Sensory systems

NB:4

AL

 

To

4/2

15-17

E2

Motor systems

NB:5

MD

 

Fr

5/2

13-17

Spelhallen

LAB1: Simulation of single cells

Labanvisningar

MD,AS,ÖE

6

8/2

15-17

D2

Systems integration; Cortical organization

NB:6, Kursbunt

AL

 

To

11/2

15-17

E2

Development; Learning and memory

NB: 7,9

EF

7

15/2

15-17

D2

Biophysical modeling of neural networks

Kursbunt

AL

 

To

18/2

15-17

E2

Biology and ANN; Learning processes

NN:1, 2

AL

8

22/2

15-17

K2

Single layer perceptrons

NN:3

AL

 

To

25/2

15-17

E2

Multilayer perceptrons

NN:4

AL

 

Fr

26/2

13-17

Spelhallen

LAB2: Simulation of biological neural networks

Labanvisningar

ÖE,MD,AS

9

1/3

15-17

D2

Multilayer perceptrons, cont’d

NN:4

AL

11

15/3

17-19

E2

Radial Basis Function neural networks

NN:5

AL

 

Ti

16/3

10-12

E3

Stochastic Machines; Mean-field theory

NN:11

AS

12

22/3

17-19

E2

Hopfield networks and Neurodynamics

NN:14

AS

 

Ti

23/3

10-12

E3

Bayesian neural networks, Fuzzy representation

Kursbunt

AL

 

To

25/3

13-17

Spelhallen

LAB3: Perceptrons and backpropagation

Labanvisningar

ÖE,MD,AS

16

Ti

20/4

10-12

E3

Reinforcement learning

Kursbunt; NN12

MD

 

To

22/4

13-17

Spelhallen

LAB4: Associative memories and Hopfield nets

Labanvisningar

AS,MD,ÖE

17

Ti

27/4

10-12

E3

Principal component analysis

NN:8

OE

 

To

29/4

13-17

Spelhallen

LAB5: The Bayesian neural network model

Labanvisningar

ÖE,AS,MD

18

Ti

4/5

10-12

E3

Self-organizing maps and vector quantiz.

NN:9

OE

 

To

6/5

13-17

Spelhallen

LAB6a: Radial Basis Functions and Self Organization

Labanvisningar

MD,AS,ÖE

 

 

 

 

 

LAB6b: Miniproject – examination

Labanvisningar

AS,MD,ÖE

19

Ti

11/5

10-12

E3

VLSI implementation of ANN; Resume and questions

Handout

AL

22

Ti

1/6

08-13

F11-13

TENTA

 

AL