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E-mail: [email protected] ACAT’2002, Moscow, Russia, June 24- 28, 2002 Great Brain Discoveries: When White Spots Disappear? Witali L. Dunin-Barkowski, Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia Department of Physiology, TTU Health Sciences Center, Lubbock, Texas, USA

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E-mail: [email protected]. Great Brain Discoveries: When White Spots Disappear?. Witali L. Dunin-Barkowski, Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia Department of Physiology, TTU Health Sciences Center, Lubbock, Texas, USA. - PowerPoint PPT Presentation

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Page 1: E-mail: witali.duninbarkowski@ttuhsc

E-mail: [email protected]

ACAT’2002, Moscow, Russia, June 24-28, 2002

Great Brain Discoveries: When White Spots Disappear?

Witali L. Dunin-Barkowski,

Institute for Information Transmission Problems,

Russian Academy of Sciences, Moscow, Russia Department of Physiology, TTU Health

Sciences Center, Lubbock, Texas, USA

Page 2: E-mail: witali.duninbarkowski@ttuhsc

Knowledge:

Finite or Infinite =

= Universe:

http://www.physiology.ttuhsc.edu/wldb/Witali/Witali.htm

Open or Closed

??

Understanding Brain:Fascinating but Finite Problem

The best known precedent: Walking

Simpler Problem: Flying

Page 3: E-mail: witali.duninbarkowski@ttuhsc

Exponential Growth in a Limited Space Microbes in a Jar

Task formulation:A microbe divides in two in a second (Tm=1 s). At the start of experiment (T(0)=0) there is one microbe in the 3 liter jar. In Tf=24 hours thejar will be filled with the microbes.Q.: How much time it would take to fill 1/2 ofthe jar? 1/1000 of the jar?

A.: T(J/2)=24 hrs- 1 s; T(J/1000)=24hrs-10 s

Page 4: E-mail: witali.duninbarkowski@ttuhsc

Understanding Brain: Finding a Time Constant

0

10000

20000

30000

40000

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31

T1/2 = 6.9 years

Topt = 23 years

Tpsm = 91 years

Society for Neuroscience Annual MeetingsNumber of Attendees (1970 - 2001)

Page 5: E-mail: witali.duninbarkowski@ttuhsc

Neural Mechanics:

The First Two Uncovered Mechanisms

1. Sensory Cortex

2. The Cerebellum

http://www.physiology.ttuhsc.edu/wldb

Page 6: E-mail: witali.duninbarkowski@ttuhsc

New Hopfield's Paradigm in Computational Neuroscience

1. J.J. Hopfield, C.D. BrodyProc. Nat. Acad. Sci., Vol. 97, No. 25, pp. 13919-13924, Dec., 2000.

2. J.J. Hopfield, C.D. BrodyProc. Nat. Acad. Sci., Vol. 98, No. 3, pp. 1282-1287, Jan., 2001.

Understanding the Brain: Role of John Hopfield

In 1982-1984 he has discovered NEUROMAGNETICS

Page 7: E-mail: witali.duninbarkowski@ttuhsc

Hopfield’s paper animal (HPA)

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HPA

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HPA: Mechanisms

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Dunin-Barkowski W.L., Lovering A.T., Orem J.M., Vidruk E.T., Sirota M.G., Beloozerova I.N.Submitted to Computational Neuroscience Meeting, Chicago, July, 2002

HPA: experimental verification

Hopfield & Brody, 2001,Fig. 9

Page 11: E-mail: witali.duninbarkowski@ttuhsc

THE CEREBELLUM: 10 % OF THE BRAIN MASS

You CAN live without cerebellum

http://www.physiology.ttuhsc.edu/wldb

DETAILS ONLY:

90 % OF BRAIN NEURONS ? % OF UNIQUE BRAIN

FUNCTIONS

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Mauk’s Equations (esp. (2) and (4))

Page 16: E-mail: witali.duninbarkowski@ttuhsc

Total synaptic inflow to climbing fiber cell (1), synaptic inflowfrom extra-cerebellar sources (2), and climbing fiber cell impulses (3) in a transient state of (left) and in the steadystate (right).

Density of climbing fiber cellfiring vs. phase of template signal(1) - transient, (2) - steady states.

How equalization works

Equalization is unstable when plasticity depends on ionotropics

1 and 2 as above; climbing fiber cell impulses are not shown: they are highly correlated with the phase of template signal all time. Red bar denotes short period of “attempted” equalization.

Page 17: E-mail: witali.duninbarkowski@ttuhsc
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“Intracellular” record of the membrane potential of the model climbing fiber cell

Page 19: E-mail: witali.duninbarkowski@ttuhsc

Poincare plot of sequential intervals between CFC impulses

Intervals between CFC impulses vs. impulse order number

1 1001

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Solution exists, when M

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V

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m s e c

m s e c

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HEP-TYPE EXPERIMENT IN NEUROPHYSIOLOGYDunin-Barkowski, Markin, Podladchikova, Wunsch, 1999

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Minimal model: Mutual inhibition with accommodation

Accommodation: hot topic [Hopfield & Brody, 2001]

Respiratory Pattern Generator - is a first example of a physiological system, where the tentative physiological role of accommodation as a time-scale factor was first

proposed [Reiss, 1964].

Underlying mechanisms: Ca++-dependent potassium conductance (proposed for RPG in [Rybak, Payton &

Schwaber, 1997])

Page 30: E-mail: witali.duninbarkowski@ttuhsc

Respiratory Rhythms: Network vs. PacemakerMechanisms.

Page 31: E-mail: witali.duninbarkowski@ttuhsc

Intraneuronal Mechanisms and MuscleContraction: Ryanodine Receptors

Ca-dependent Ca release. Contraction demands large amounts of Ca.To make the process independent of extracellular Ca concentrations it is releasedfrom intracellular cisterns.

A fast mediator is needed to transfer eventsat the membrane inside the cell. The most convenient substance - Ca. Just as a signal,not as a catalyzing substance.

Page 32: E-mail: witali.duninbarkowski@ttuhsc

Ca-dependent K-channels: accommodation.Release of Ca from intracellular compartments produces cell inhibition. Three factors: (1) external excitation; (2) Ca-dependent K-channels; and (3) Ca-dependent Ca release acting in concert canprovide both conditional pacemakers and flip-flop oscillations.Network mode of operation depends on a single parameter: strength of inhibitory connections between opposing neuron pools.

Page 33: E-mail: witali.duninbarkowski@ttuhsc

Model 1 Model 2

In Vivo

Dunin-Barkowski W.L., Escobar A. L., Lovering A.T., Orem J.M., Submitted to Soc. for Neuroscience Annual Meeting, Orlando, Florida, November, 2002

Page 34: E-mail: witali.duninbarkowski@ttuhsc

Model 1

Model 2

Dunin-Barkowski W.L., Escobar A. L., Lovering A.T., Orem J.M., Submitted to Soc. for Neuroscience Annual Meeting, Orlando, Florida, November, 2002

Page 35: E-mail: witali.duninbarkowski@ttuhsc

We should also keep searching for new components andtheir combinations

The work is demanding and rewarding: We reveal ourselves.The final results are soon to come. Although, may be not so

soon, as one could hope:

Understanding the Brain: Operational Tools

We know a lot about the components

Page 36: E-mail: witali.duninbarkowski@ttuhsc

23 y. < Tfin < 91 y.