Agota Lang & Dora Horvath Szechenyi Grammar School Sopron, Hungary

1. Science on Stage Agota Lang & Dora Horvath Szechenyi Grammar School Sopron, Hungary 2005 CERN

2. NEURON + DIODE = NEURODE

3. Neuron: this is a typical conception in biology Diode: this belongs to the area physics What can we get if we add this two concepts? The result of the addition is neurode: our model that models nerve-cells.

4. HOW CAN YOU MODEL NERVE-CELL?

5. THE STEPS OF MODELLING: Studying of phenomena Choosing the significance properties Building the model Controlling the work of model Giving validity limit Practical applying of model inside of validity limit Outside of validity limit:improving and enriching of model

6. Studying of phenomena

7. The types of nerve-cell: sensory nerve cells internmediate nerve cells motor nerve cell

8. SENSORY NERVE CELL

9. INTERMEDIATE NERVE CELL (INTERNEURON)

10. MOTOR NERVE CELL

11. Choosing the significance properties

12. . The idea comes from the book The computer an the Brain of John Neumann. Our models show the physical working of nerve-cells.

13. Building the model

14. Dendrites Nucleus of cell Cell-body Axon Synapsis Illustration of nerve-cell Photo of our nerve-cell model

15. In effect the modelis little circuit in a little toy (Duplo) cube. The circuit contains diodes, transistor, LED and resistances. If a stimulus arrives in the stimulating input, then the LED lights and comes up voltage in the output. If a stimulus arrives in the obstructive input, then the LED lights no more and there is any voltage in the output.

16. stimulating input output obstructive input 0 0 0 resistances LED rectifier diodes transistor Model of interneuron Circuit diadram of model

17. obstructive input LED Ground input Ground output Stimulating input output Model of interneuron

18. Model of sensory nerves cell • Thermo sensor Sound sensor • Photo sensor

19. There’s 3 types of nerve-cells in biology, and we’ve got three kinds of models too. These are the sensory nerve cell (these are photo, thermo and sound sensitive ), the intermediate (relay) nerve cell and the motor nerve cell (in this there’s really a little motor).

20. Model of motor nerve cell

21. Controlling the work of model Giving validity limit

22. Modelling of stimulus threshold The voltage in the stimulating input is less as the stimulus threshold (=opening voltage), the LED doesn’t light The voltage in the stimulating input is more as the stimulus threshold the LED lights The LED doesn’t light because the model becomes voltage in the obstructive input too

23. Validity limit: • Our neuron-model has only 2 input and 1 output • In reality every dendrits can work as a stimulating input or as an obstructive input too • Stimulus threshold dipents on the number of stimulating signal

24. Practical applying of model inside of validity limit

25. From this ready nerve cell models we built a chain that begins with sensory nerve cell, then come 3-4 intermediate nerve cells and at the end a motor nerve cell.

26. The neuron-chain at work in case of light

27. The neuron-chain at work in case of heat

28. The neuron-chain at work in case of sound

29. Outside of validity limit: improving and enriching of model

30. But there’s an important missing element without our model couldn’t be a good nervous system model. This is called brain at the full-blown organisms. Our model is the computer. It could make a decission with a program in Microsoft Windows Logo. The subject of the ready model is Garfield, the lazy cat. Normally it dreams about a very big hamburger. If there’s something changing in its surround, its dream is changing by this effect. So in case of sound, it’s dreaming about a clock, in case of warm that’s a hearth, and in case of light its dream is Sun. At the end of the experiment Garfield wake up and go to the window to make dark.

31. Garfield’s reflection in case of heat.

32. Garfield’s reflection in case of sound

33. Garfield’s reflection in case of light .

34. There is nobody who helps so Garfield self goes to make dark SOMEBODY LET MAKE DARK…

35. Name: Ágota LANG Time & place of birth: 24.03.1965 Szeged (Hungary) Qualification: physics, mathematics MSC at the University Szeged, 1988 Informatics MSC at the Eötvös Loránd University, 1998 Job: secondary school teacher Place of work: Széchenyi István Grammar School, Sopron E-mail address: mmecurie@freemail.hu

36. That’s me in the Year of Physics Organizing the Relay if Light between Sopron (H) and Neuseedler am See (A) Organizing the Physics-Run in the Forest Demonstrating tricky physical experiment in the school yard

37. Life, the Universe and Everything In directing On the Stage as Vogon Grandmother Don’t Panic! Roving in the History of natural Science with the pupils of Széchenyi Grammar School, Sopron Written and directed by me

38. I was awarded in 2005 by ERICSSON for my work in the popularization of physics

39. Hobbies: Travelling In the island Ven, where Tycho Brache worked That’s me in red in Technorama (Winterthur /S/) On the Arctic Circle

40. Hobbies: Trecking For example in Berner Alps

41. Name: Dóra HORVÁTH Time & place of birth: 12.05.1987 Sopron (Hungary) Qualification: Maturity at Széchenyi István Grammar School, Sopron Job: student Place of work: Budapest University of Technology E-mail address: dooryh@gmail.com If you are considerate you can find her on the photos too