DERIVING A COMPUTATIONAL MODEL OF CORTICO-STRIATO-THALAMUS- CORTICO CIRCUITS

pantgrievousΤεχνίτη Νοημοσύνη και Ρομποτική

30 Νοε 2013 (πριν από 3 χρόνια και 8 μήνες)

66 εμφανίσεις

DERIVING A COMPUTATIONAL MODEL
OF CORTICO
-
STRIATO
-
THALAMUS
-
CORTICO CIRCUITS


N.S. Sengor


Since the
emergence of articles by

G.E. Alexander and his colleagues on basal ganglia
-
thalamacortical circuits in 90’s, there has been a series of work discussing th
e roles of cortico
-
striato
-
thalamo
-
cortico circuits in different cognitive, motor processes and in emotional
behaviours

[1
-
6]
.
There are
also some works investigating the role of cortico
-
striato
-
thalamo
-
cortico circui
ts especially for conscious
behaviour
a
nd
even discussing the

functions of

neural
correlates in
perceiving the one’s own movements

[7
-
9]
.


The proposed different c
omputational models of cortico
-
striato
-
thalamo
-
cortico circuits
mostly deals with cognitive processes as work
ing memory and action s
election [10
-
15
]

and
these computational models aim to be versatile in explaining the effect of different neural
systems on the considered cognitive processes.


The computational model of cortico
-
striato
-
thalamo
-
cortico circuit proposed in [14,

15] is a
nonlinear dynamical system

and
this model is not only cap
a
ble of revealing the action
selection property of basal ganglia but also is capable of modelling the effect of dopamine on
action selection. While the interpret
a
tion of action selection function is
based on solutions of
nonlinear dynamical system, the effect of dopamine is modelled by a parameter

which a
ffects
the dynamic behaviour of the system.



During the neuroscience seminar on “Body consciousness: brain mechanisms of
representation of the self
and others”, the computational model in [14, 15] will be introduced
and how it is extended further to model reinforcement learning to accomplish a goal
-
directed
behaviour will be explained. Also a discussion on how body consciousness could be modelled
in a

similar way will be given.



References


[1] Alexander, G.E
., Crutcher, M.D., “Functional architecture of basal ganglia circuits: neural
substrates of parallel p
rocessing”, TINS, Vol. 13, pp. 266
-
270, 1990.

[2] Alexander, G.E., Crutch
er, M.D., DeLong, M
.R., “Basal ganglia
-
thalamacortical circuits:
parallel substrates for motor, oculomotor, ”prefrontal” and “l
imbic” functions”, Progress in
Brain Research, vol.85, pp.119
-
146, 1990.

[3] Heimer, L., “A New anatomical f
ra
mework for neuropsychiatric disorders
and drug
a
buse”, Am. J. Psychiatry vol. 160, pp. 1726
-
1739, 2003.

[4] Ridderinkhof, K.R., van den Wildenberg, W.P.M., Segalowitz, S.J.,

Carter, C.S.,
“Neurocognitive mechanisms of cognitive control: the role of p
refron
tal cortex in action
selection, respon
se inhibition, p
erforman
ce monitoring and reward
-
based l
earning”, Brain and
Cognition, vol.56, pp. 129
-
140, 2004.

[5] Haber, S.N., Fudge, J.L., McFarla
nd N.R., “Striatonigrostriatal pathways in primates form
an a
scend
ing s
piral from

the shell to the dorso
lateral s
triatum”, The Jour. Neuroscience, Vol
20, pp. 2369
-
2382, 2000.

[6
] Haber, N.S., Kim, K.S., Mailly, P., Calzavara, R.,
“Reward
-
r
elated cortical inputs define a
large striatal region in primates that interface with associative cortical connections,
providing
a substrate for incentive
-
based learning”, The Jour. Neuroscience, Vol 26, pp. 8368
-
8376,
2006.

[7]

Schultz, W., Ranulfo, R. “Role of Primate basal ganglia and frontal cortex in the internal
generation of movements”, Experimental Brain Research,
Vol. 91, pp. 363
-
384, 1992.

[8] Vakalopoulos, C., “Neural correlates of consciousness: a definition of the dorsal and
ventral streams and their relation to phenomenology”, Medical Hypotheses, Vol. 65, pp. 922
-
931, 2005.

[9]
Leube, D.T., Knoblich, G., Erb,
M., Grodd, W., Bartels, M., Kircher, T.T.J., “The neural
correlates of perceiving one’s own movements”, Neuroimage, vol. 20, pp. 20
84
-
2090, 2003.

[10] Gurney, K., Prescott, T.J., Redgrave, P., “A Computational Model of Action Selection in
the Basal Ganglia

I: A New Functional Anatomy”, Biological Cybernetics, vol. 84, pp.401
-
410, 2001.

[11] Gurney, K., Prescott, T.J., Redgrave, P., “A Computational Model of Action Selection in
the Basal Ganglia II: Analysis and Simulation of Behaviour”, Biological Cyberne
tics, vol. 84,
pp.411
-
423, 2001.

[12
]
Taylor, N.R., Taylor, J.G., “Hard
-
wired Models of Working Memory and Temporal
Sequence Storage and Generation”, Neural Networks, vol.13, pp. 201
-
224, 2000.

[13] Taylor, J.G., Taylor, N.R., “Analysis of Recurrent Corti
co
-
Basal Ganglia
-
Thalamic
Loops for Working Memory”, Biological Cybernetics, vol. 82, pp. 415
-
432, 2000.

[14
]

Karabacak,
O.,
Sengor, N. S.
,


A Dynamical Model of a Cognitive Function: Action
Selection”,
16
th

IFAC World Congress, 2005.



[15
] Karabacak, O
., Sengor, N.S.,
“A computational model for the effect of dopamine on
action selection during Stroop test”, ICANN’06, Atina, 2006.