Abstract
A novel neural network model is presented that learns by trial-and-error to reproduce complex sensory-motor sequences. One subnetwork, corresponding to the prefrontal cortex (PFC), is responsible for generating unique patterns of activity that represent the continuous state of sequence execution. A second subnetwork, corresponding to the striatum, associates these state-encoding patterns with the correct response at each point in the sequence execution. From a neuroscience perspective, the model is based on the known cortical and subcortical anatomy of the primate oculomotor system. From a theoretical perspective, the architecture is similar to that of a finite automaton in which outputs and state transitions are generated as a function of inputs and the current state. Simulation results for complex sequence reproduction and sequence discrimination are presented.
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Alexander GE, DeLong MR, Strick PL (1986) Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annu Rev Neurosci 9:357–381
Andersen RA, Asanuma C, Cowan MW (1985) Callosal and prefrontal associational projecting cell populations in area 7a of the macaque monkey: a study using retrogradely transported flourescent dyes. J Comp Neurol 232:443–455
Barash S, Bracewell RM, Fogassi L, Gnadt JW, Andersen RA (1991) Saccade-related activity in the lateral intraparietal area II. Spatial properties. J Neurophysiol 66:1109–1124
Barone P, Joseph J-P (1989) Prefrontal cortex and spatial sequencing in macaque moneky. Exp Brain Res 78:447–464
Barto AG (1990) Connectionist learning for control: an overview. In: Miller WT, Sutton RS, Werbos PJ (eds) Neural Networks for Control. MIT Press, Cambridge MA, pp 1–58
Calabresi P, Maj R, Pisani A, Mercuir NB, Bernardi G (1992) Long-term synaptic depression in the striatum: physiological and pharmacological characterization. J Neurosci 12:4224–4233
Carlsson M, Carlsson A (1990) Interactions between glutamatergic and monoaminergic systems within the basal ganglia — indications for schizophrenia and Parkinson's disease. Trends Neurosci 13:272–276
Chevalier G, Vacher S, Deniau JM, Desban M (1985) Disinhibition as a basic process in the expression of striatal functions. I. The striato-nigral influence on the tecto-spinal tecto-diencephalic neurons. Brain Res 334:215–226
Dehaene S, Changeux J-P, Nadal J-P (1987) Neural networks that learn temporal sequences by preselection. Proc Natl Acad Sci 84:2727–2731
Dominey PF (1993) Models of spatial accuracy and conditional behavior in oculomotor control. PhD Thesis, Dept of Computer Science, University of Southern California
Dominey PF, Arbib MA (1992) A cortico-subcortical model for generation of spatially accurate sequential saccades. Cerebral Cortex 2:153–175
Dominey PF, Arbib MA, Joseph JP (1995) A model of corticostriatal plasticity for learning oculomotor associations and sequences. J Cog Neuroscience 7:311–336
Goldman-Rakic PS (1987) Circuitry of primate prefrontal cortex and regulation of behavior by representational memory. In: Vernon B Mountcastle (eds) Handbook of physiology. The Nervous system. Vol. V, Chap 9. 9: 373–417
Herz A, Sulzer B, Kühn R, van Hemmen JL (1989) Hebbian learning reconsidered: representation of static and dynamic objects in associative neural nets. Biol Cybern 60:457–467
Hikosaka O, Sakamoto M, Usui S (1989) Functional properties of monkey caudate neurons. I. Activities related to saccadic eye movements. J Neurophysiol 61:780–798
Keele SW, Jennings P, Jones S, Caulton D, Cohen A (1995) On the modularity of sequence representation. J Motor Behavior 27:17–30
Kermadi I, Jurquet Y, Arzi M, Joseph J-P (1993) Neural activity in the caudate nucleus of monkeys during spatial sequencing. Exp Brain Res 94:352–356
Kühn R, van Hemmen JL (1992) Temporal association. In: Domanay E, Hemmen van JL, Schulten K (eds) Physics of neural networks. Springer, Berlin Heidelberg New York, pp 213–280
Ljungberg T, Apicella P, Schultz W (1991) Responses of monkey midbrain dopamine neurons during delayed alternation performance. Brain Res 567:337–341
Mercuri M, Bernardi G, Calabresi P, Cotugno A, Levi G, Stanzione P (1985) Dopamine decreases cell excitability in rat striatal neurons by pre- and postsynaptic mechanisms. Brain Res 385: 110–121
Munoz DP, Wurtz RH (1992) Role of the rostral superior colliculus in active visual fixation on execution of express saccades. J Neurophysiol 67:1000–1002
Reading PJ, Dunnet SB, Robins TW (1991) Dissociable roles of the ventral, medial and lateral striatum on the acquisition and performance of a complex visual stimulus-response habit. Behav Brain Res 45:147–161
Robins TW, Giardini V, Jones GH, Reading PJ, Sahakian BJ (1990) Effects of dopamine depletion from the caudate-putamen and nucleus accumbes septi on the acquisition and performance of a conditional discrimination task. Behav Brain Res 38:243–261
Rolls ET, Williams GV (1987) Sensory and movement-related neuronal activity in different regions of the primate striatum. In: Schneider JS, Lidsky TI (eds) Basal ganglia and motor behavior. Hans Huner, Toronto, pp 37–59
Schlag J, Schlag-Rey M (1984) Visuomotor functions of central thalamus in monkey. II. Unit activity related to visual events, targeting, and fixation. J Neurophysiol 51:1175–1195
Segraves M, Goldberg ME (1987) Functional properties of corticotectal neurons in the monkey's frontal eye field. J Neurophysiol 58:1387–1419
Selemon LD, Goldman-Rakic PS (1985) Longitudinal topography and interdigitation of corticostriatal projections in the rhesus moneky. J Neurosci 5:776–794
Sparks DL (1986) Translation of sensory signals into commands for control of saccadic eye movements: role of primate superior colliculus. Physiol Rev 66:118–171
Stadler MA (1995) The role of attention in implicit learning. J Exp Psychology: Learning, Mem, Cognition (in press)
Stanton GB, Goldberg ME, Bruce CJ (1988a) Frontal eye field efferents in the macaque monkey. I. Subcortical pathways and topography of striatal and thalamic terminal fields. J Comp Neurol 271:473–492
Stanton GB, Goldberg ME, Bruce CJ (1988b) Frontal eye field efferents in the macaque monkey. II. Topography of terminal fields in idbrain and pons. J Comp Neurol 271:493–506
Van Essen DC (1979) Visual areas of the mammalian cerebral cortex. Annu Rev Neurosci 2:227–263
Wang D, Arbib M (1990) Complex temporal sequence learning based on short-term memory. Proc IEEE 78:1536–1543
Weitzenfield A (1991) NSL neural simulation language version 2. 1. (Technical Report 91-05). Center for Neural Engineering, University of Southern California
Yeterian EH, Pandya D (1991) Prefrontostriatal connections in relation to cortical architectonic organization in rhesus monkeys. J Comp Neurol 312:43–67
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Dominey, P.F. Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning. Biol. Cybern. 73, 265–274 (1995). https://doi.org/10.1007/BF00201428
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DOI: https://doi.org/10.1007/BF00201428