Abstract
The frontal cortex and the basal ganglia interact via a relatively well understood and elaborate system of interconnections. In the context of motor function, these interconnections can be understood as disinhibiting, or “releasing the brakes,” on frontal motor action plans: The basal ganglia detect appropriate contexts for performing motor actions and enable the frontal cortex to execute such actions at the appropriate time. We build on this idea in the domain of working memory through the use of computational neural network models of this circuit. In our model, the frontal cortex exhibits robust active maintenance, whereas the basal ganglia contribute a selective, dynamic gating function that enables frontal memory representations to be rapidly updated in a task-relevant manner. We apply the model to a novel version of the continuous performance task that requires subroutine-like selective working memory updating and compare and contrast our model with other existing models and theories of frontal-cortex-basal-ganglia interactions.
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Alexander, G. E. (1987). Selective neuronal discharge in monkey putamen reflects intended direction of planned limb movements. Experimental Brain Research, 67, 623–634.
Alexander, G.E., Crutcher, M., & DeLong, M. (1990). Basal ganglia-thalamocortical circuits: Parallel substrates for motor, oculomotor, “prefrontal” and “limbic” functions. In H. Uylings, C. Van Eden, J. De Bruin, M. Corner, & M. Feenstra (Eds.), The prefrontal cortex: Its structure, function, and pathology (pp. 119–146). Amsterdam: Elsevier.
Alexander, G. E., DeLong, M.R., & Strick, P. L. (1986). Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annual Review of Neuroscience, 9, 357–381.
Amos, A. (2000). A computational model of information processing in the frontal cortex and basal ganglia. Journal of Cognitive Neuroscience, 12, 505–519.
Baddeley, A.D. (1986). Working memory. New York: Oxford University Press.
Barto, A. G. (1995). Adaptive critics and the basal ganglia. In J. C. Houk, J. L. Davis, & D. G. Beiser (Eds.), Models of information processing in the basal ganglia (pp. 215–232). Cambridge, MA: MIT Press.
Beiser, D.G., & Houk, J. C. (1998). Model of cortical-basal ganglionic processing: Encoding the serial order of sensory events. Journal of Neurophysiology, 79, 3168–3188.
Beiser, D.G., Hua, S.E., & Houk, J. C. (1997). Network models of the basal ganglia. Current Opinion in Neurobiology, 7, 185–190.
Bergman, H., Feingold, A., Nini, A., Raz, A., Slovin,H., Abeles,M., & Vaadia, E. (1998). Physiological aspects of information processing in the basal ganglia of normal and parkinsonian primates. Trends in Neurosciences, 21, 32–38.
Berns, G. S., & Sejnowski, T. J. (1996). How the basal ganglia make decisions. In A. Damasio, H. Damasio, & Y. Christen (Eds.), Neurobiology of decision-making (pp. 101–113). Berlin: Springer-Verlag.
Braver, T. S., & Cohen, J. D. (2000). On the control of control: The role of dopamine in regulating prefrontal function and working memory. In S. Monsell & J. Driver (Eds.), Attention and performance XVIII: Control of cognitive processes (pp. 713–737). Cambridge, MA: MIT Press.
Brown, L. L., Schneider, J. S., & Lidsky, T. I. (1997). Sensory and cognitive functions of the basal ganglia. Current Opinion in Neurobiology, 7, 157–163.
Brown, R. G., & Marsden, C. D. (1988). Internal versus external cues and the control of attention in Parkinson’s disease. Brain, 111, 323–345.
Brown, R.G., & Marsden, C. D. (1990). Cognitive function in Parkinson’s disease: From description to theory. Trends in Neurosciences, 13, 21–29.
Bullock, D., & Grossberg, S. (1988). Neural dynamics of planned arm movements: Emergent invariants and speed-accuracy properties during trajectory formation. Psychological Review, 95, 49–90.
Butters, N., & Rosvold, H. E. (1968). The effect of caudate and septal nuclei lesions on resistance to extinction and delayed-alternation performance in monkeys. Journal of Comparative Physiological Psychology, 65, 397–403.
Chevalier, G., & Deniau, J. M. (1990). Disinhibition as a basic process in the expression of striatal functions. Trends in Neurosciences, 13, 277–280.
Christoff, K., & Gabrieli, J. D. E. (2000). The frontopolar cortex and human cognition: Evidence for a rostrocaudal hierarchical organization within the human prefrontal cortex. Psychobiology, 28, 168–186.
Cohen, J.D., Braver, T. S., & O’Reilly, R.C. (1996). A computational approach to prefrontal cortex, cognitive control, and schizophrenia: Recent developments and current challenges. Philosophical Transactions of the Royal Society of London: Series B, 351, 1515–1527.
Cohen, J. D., Dunbar, K., & McClelland, J. L. (1990). On the control of automatic processes: A parallel distributed processing model of the Stroop effect. Psychological Review, 97, 332–361.
Cohen, J. D., & O’Reilly, R. C. (1996). A preliminary theory of the interactions between prefrontal cortex and hippocampus that contribute to planning and prospective memory. In M. Brandimonte, G. O. Einstein, & M. A. McDaniel (Eds.), Prospective memory: Theory and applications (pp. 267–296). Mahwah, NJ: Erlbaum.
Cohen, J. D., Perlstein, W.M., Braver, T. S., Nystrom, L. E., Noll, D. C., Jonides, J., & Smith, E. E. (1997). Temporal dynamics of brain activity during a working memory task. Nature, 386, 604–608.
Constantinidis, C., & Steinmetz, M.A. (1996). Neuronal activity in posterior parietal area 7a during the delay periods of a spatial memory task. Journal of Neurophysiology, 76, 1352–1355.
Dehaene, S., & Changeux, J. P. (1989). A simple model of prefrontal cortex function in delayed-response tasks. Journal of Cognitive Neuroscience, 1, 244–261.
Dehaene, S., & Changeux, J. P. (1991). The Wisconsin Card Sorting Test: Theoretical analysis and modeling in a neuronal network. Cerebral Cortex, 1, 62–79.
Deniau, J. M., & Chevalier, G. (1985). Disinhibition as a basic process in the expression of striatal functions: II. The striato-nigral influence on thalamocortical cells of the ventromedial thalamic nucleus. Brain Research, 334, 227–233.
Dias, R., Robbins, T.W., & Roberts, A. C. (1997). Dissociable forms of inhibitory control within prefrontal cortex with an analog of the Wisconsin Card Sort Test: Restriction to novel situations and independence from “on-line” processing. Journal of Neuroscience, 17, 9285–9297.
Dilmore, J. G., Gutkin, B. G., & Ermentrout, G. B. (1999). Effects of dopaminergic modulation of persistent sodium currents on the excitability of prefrontal cortical neurons: A computational study. Neurocomputing, 26, 104–116.
Divac, I., Rosvold, H. E., & Szwaracbart, M. K. (1967). Behavioral effects of selective ablation of the caudate nucleus. Journal of Comparative Physiological Psychology, 63, 184–190.
Dominey, P. F. (1995). Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning. Biological Cybernetics, 73, 265–274.
Dominey, P. F., & Arbib, M. A. (1992). Cortico-subcortical model for generation of spatially accurate sequential saccades. Cerebral Cortex, 2, 153–175.
Donchin, E., & Coles, M. G. (1988). Is the P300 component a manifestation of context updating? Behavioral & Brain Sciences, 11, 357–427.
Douglas, R. J., & Martin, K. A.C. (1990). Neocortex. In G. M. Shepherd (Ed.), The synaptic organization of the brain (pp. 389–438). Oxford: Oxford University Press.
Dujardin, K., Krystkowiak, P., Defebvre, L., Blond, S., & Destee, A. (2000). A case of severe dysexecutive syndrome consecutive to chronic bilateral pallidal stimulation. Neuropsychologia, 38, 1305–1315.
Durstewitz, D., Kelc, M., & Gunturkun, O. (1999). A neurocomputational theory of the dopaminergic modulation of working memory functions. Journal of Neuroscience, 19, 2807–2822.
Durstewitz, D., Seamans, J.K., & Sejnowski, T. J. (2000a). Dopamine-mediated stabilization of delay-period activity in a network model of prefrontal cortex. Journal of Neurophysiology, 83, 1733–1750.
Durstewitz, D., Seamans, J. K., & Sejnowski, T. J. (2000b). Neuro-computational models of working memory. Nature Neuroscience, 3 (Suppl.), 1184–1191.
Erickson, S. L., & Lewis, D. A. (2000). Prefrontal cortical inputs to monkey mediodorsal thalamus. Society for Neuroscience Abstracts (p. 461). San Diego: Society for Neuroscience.
Fellous, J.M., Wang, X. J., & Lisman, J. E. (1998). A role for NMDAreceptor channels in working memory. Nature Neuroscience, 1, 273–275.
Fox, C. A., & Rafols, J. A. (1976). The striatal efferents in the globus pallidus and in the substantia nigra. In M. D. Yahr (Ed.), The basal ganglia (pp. 37–55). New York: Raven.
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989). Mnemonic coding of visual space in the monkey’s dorsolateral prefrontal cortex. Journal of Neurophysiology, 61, 331–349.
Fuster, J. M. (1989). The prefrontal cortex: Anatomy, physiology and neuropsychology of the frontal lobe (3rd ed.). New York: Lippincott-Raven.
Fuster, J. M., & Alexander, G. E. (1971). Neuron activity related to short-term memory. Science, 173, 652–654.
Gelfand, J., Gullapalli, V., Johnson, M., Raye, C., & Henderson, J. (1997). The dynamics of prefrontal cortico-thalamo-basal ganglionic loops and short term memory interference phenomena. In Proceedings of the 19th Annual Conference of the Cognitive Science Society (pp. 253–258). Mahwah, NJ: Erlbaum.
Gobbel, J. R. (1995). A biophysically-based model of the neostriatum as a dynamically reconfigurable network. In M. Boden & L.-E. Niklasson (Eds.), Proceedings of the Second Swedish Conference on Connectionism. Hillsdale, NJ: Erlbaum.
Gobbel, J. R. (1997). The role of the neostriatum in the execution of action sequences. Unpublished doctoral dissertation, University of California, San Diego.
Goldman, P. S., & Rosvold, H. E. (1972). The effects of selective caudate lesions in infant and juvenile Rhesus monkeys. Brain Research, 43, 53–66.
Goldman-Rakic, P. S. (1987). Circuitry of primate prefrontal cortex and regulation of behavior by representational memory. In F. Plum & V. Mountcastle (Eds.), Handbook of physiology: The nervous system (Vol. 5, pp. 373–417). Bethesda, MD: American Physiological Society.
Goldman-Rakic, P. S., & Friedman, H. R. (1991). The circuitry of working memory revealed by anatomy and metabolic imaging. In H. S. Levin, H. M. Eisenberg, & A. L. Benton (Eds.), Frontal lobe function and dysfunction (pp. 72–91). New York: Oxford University Press.
Gorelova, N. A., & Yang, C. R. (2000). Dopamine D1/D5 receptor activation modulates a persistent sodium current in rat prefrontal cortical neurons in vitro. Journal of Neurophysiology, 84, 75–87.
Graybiel, A. M., & Kimura, M. (1995). Adaptive neural networks in the basal ganglia. In J. C. Houk, J. L. Davis, & D. G. Beiser (Eds.), Models of information processing in the basal ganglia (pp. 103–116). Cambridge, MA: MIT Press.
Guigon, E., Dorizzi, B., Burnod, Y., & Schultz, W. (1995). Neural correlates of learning in the prefrontal cortex of the monkey: A predictive model. Cerebral Cortex, 2, 135–147.
Hikosaka, O. (1989). Role of basal ganglia in initiation of voluntary movements. In M. A. Arbib & S. Amari (Eds.), Dynamic interactions in neural networks: Models and data (pp. 153–167). Berlin: Springer-Verlag.
Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9, 1735–1780.
Hoshi, E., Shima, K., & Tanji, J. (2000). Neuronal activity in the primate prefrontal cortex in the process of motor selection based on two behavioral rules. Journal of Neurophysiology, 83, 2355–2373.
Houk, J. C., Adams, J. L., & Barto, A.G. (1995). A model of how the basal ganglia generate and use neural signals that predict reinforcement. In J. C. Houk, J. L. Davis, & D. G. Beiser (Eds.), Models of information processing in the basal ganglia (pp. 233–248). Cambridge, MA: MIT Press.
Houk, J. C., & Wise, S. P. (1995). Distributed modular architectures linking basal ganglia, cerebellum, and cerebral cortex: Their role in planning and controlling action. Cerebral Cortex, 5, 95–110.
Jackson, S., & Houghton, G. (1995). Sensorimotor selection and the basal ganglia: A neural network model. In J. C. Houk, J. L. Davis, & D. G. Beiser (Eds.), Models of information processing in the basal ganglia (pp. 337–368). Cambridge, MA: MIT Press.
Jaeger, D., Kita, H., & Wilson, C. J. (1994). Surround inhibition among projection neurons is weak or nonexistent in the rat neostriatum. Journal of Neurophysiology, 72, 2555–2558.
Koechlin, E., Basso, G., Pietrini, P., Panzer, S., & Grafman, J. (1999). The role of the anterior prefrontal cortex in human cognition. Nature, 399, 148–151.
Kropotov, J. D., & Etlinger, S. C. (1999). Selection of actions in the basal ganglia-thalamocoritcal circuits: Review and model. International Journal of Psychophysiology, 31, 197–217.
Kubota, K., & Niki, H. (1971). Prefrontal cortical unit activity and delayed alternation performance in monkeys. Journal of Neurophysiology, 34, 337–347.
Lange, H., Thorner, G., & Hopf, A. (1976). Morphometric-statistical structure analysis of human striatum, pallidum, and nucleus subthalamicus: III. Nucleus subthalamicus. Journal für Hirnforschung, 17, 31–41.
Levitt, J. B., Lewis, D.A., Yoshioka, T., & Lund, J. S. (1993). Topography of pyramidal neuron intrinsic connections in macaque monkey prefrontal cortex (areas 9 & 46). Journal of Comparative Neurology, 338, 360–376.
Lewis, B. L., & O’Donnell, P. (2000). Ventral tegmental area afferents to the prefrontal cortex maintain membrane potential “up” states in pyramidal neurons via D1 dopamine receptors. Cerebral Cortex, 10, 1168–1175.
Matsumoto, N., Hanakawa, T., Maki, S., Graybiel, A. M., & Kimura, M. (1999). Role of nigrostriatal dopamine system in learning to perform sequential motor tasks in a predictive manner. Journal of Neurophysiology, 82, 978–998.
McClelland, J. L., McNaughton, B. L., & O’Reilly, R. C. (1995). Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory. Psychological Review, 102, 419–457.
McFarland, N. R., & Haber, S. N. (2000). Convergent inputs from thalamic motor nuclei and frontal cortical areas to the dorsal striatum in the primate. Journal of Neuroscience, 20, 3798–3813.
Middleton, F. A., & Strick, P. L. (2000a). Basal ganglia and cerebellar loops: Motor and cognitive circuits. Brain Research Reviews, 31, 236–250.
Middleton, F. A., & Strick, P. L. (2000b). Basal ganglia output and cognition: Evidence from anatomical, behavioral, and clinical studies. Brain & Cognition, 42, 183–200.
Miller, E.K., Erickson, C.A., & Desimone, R. (1996). Neural mechanisms of visual working memory in prefontal cortex of the macaque. Journal of Neuroscience, 16, 5154–5167.
Miyake, A., & Shah, P. (Eds.) (1999). Models of working memory: Mechanisms of active maintenance and executive control. New York: Cambridge University Press.
Miyashita, Y., & Chang, H. S. (1988). Neuronal correlate of pictorial short-term memory in the primate temporal cortex. Nature, 331, 68–70.
Montague, P. R., Dayan, P., & Sejnowski, T. J. (1996). A framework for mesencephalic dopamine systems based on predictive Hebbian learning. Journal of Neuroscience, 16, 1936–1947.
Moody, S. L., Wise, S. P., di Pellegrino, G., & Zipser, D. (1998). A model that accounts for activity in primate frontal cortex during a delayed matching-to-sample task. Journal of Neuroscience, 18, 399–410.
Munakata, Y. (1998). Infant perseveration and implications for object permanence theories: A PDP model of the A-not-B task. Developmental Science, 1, 161–184.
Neafsey, E. J., Hull, C. D., & Buchwald, N. A. (1978). Preparation for movement in the cat: I. Unit activity in the cerebral cortex. Electroencephalography & Clinical Neurophysiology, 44, 714–723.
Norman, D., & Shallice, T. (1986). Attention to action: Willed and automatic control of behavior. In R. Davidson, G. Schwartz, & D. Shapiro (Eds.), Consciousness and self-regulation: Advances in research and theory (Vol. 4, pp. 1–18). New York: Plenum.
Nystrom, L.E., Braver, T. S., Sabb, F.W., Delgado, M.R., Noll, D.C., & Cohen, J. D. (2000). Working memory for letters, shapes, and locations: fMRI evidence against stimulus-based regional organization in human prefrontal cortex. NeuroImage, 11, 424–446.
O’Reilly, R. C. (1998). Six principles for biologically-based computational models of cortical cognition. Trends in Cognitive Sciences, 2, 455–462.
O’Reilly, R. C., Braver, T. S., & Cohen, J. D. (1999). A biologically based computational model of working memory. In A. Miyake & P. Shah (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 375–411). New York: Cambridge University Press.
O’Reilly, R. C., & McClelland, J. L. (1994). Hippocampal conjunctive encoding, storage, and recall: Avoiding a tradeoff. Hippocampus, 4, 661–682.
O’Reilly, R.C., & Munakata, Y. (2000). Computational explorations in cognitive neuroscience: Understanding the mind by simulating the brain. Cambridge, MA: MIT Press.
O’Reilly, R. C., Noelle, D., Braver, T. S., & Cohen, J. D. (2001). Prefrontal cortex and dynamic categorization tasks: Representational organization and neuromodulatory control. Manuscript submitted for publication.
O’Reilly, R. C., & Rudy, J. W. (2000). Computational principles of learning in the neocortex and hippocampus. Hippocampus, 10, 389–397.
O’Reilly, R. C., & Rudy, J.W. (2001). Conjunctive representations in learning and memory: Principles of cortical and hippocampal function. Psychological Review, 108, 311–345.
Owen, A. M., Doyon, J., Dagher, A., Sadikot, A., & Evans, A. C. (1998). Abnormal basal ganglia outflow in Parkinson’s disease identified with PET: Implications for higher cortical functions. Brain, 121, 949–965.
Owen, A.M., Roberts, A.C., Hodges, J.R., Summers, B.A., Polkey, C.E., & Robbins, T.W. (1993). Contrasting mechanisms of impaired attentional set-shifting in patients with frontal lobe damage or Parkinson’s disease. Brain, 116, 1159–1175.
Passingham, R. E. (1993). The frontal lobes and voluntary action. Oxford: Oxford University Press.
Petrides, M. (1994). Frontal lobes and working memory: Evidence from investigations of the effects of cortical excisions in nonhuman primates. In F. Boller & J. Grafman (Eds.), Handbook of neuropsychology (Vol. 9, pp. 59–82). Amsterdam: Elsevier.
Pucak, M. L., Levitt, J. B., Lund, J. S., & Lewis, D. A. (1996). Pat 158 FRANK, LOUGHRY, AND O’REILLY terns of intrinsic and associational circuitry in monkey prefrontal cortex. Journal of Comparative Neurology, 376, 614–630.
Rao, S. C., Rainer, G., & Miller, E. K. (1997, May). Integration of what and where in the primate prefrontal cortex. Science, 276, 821–824.
Rao, S. G., Williams, G. V., & Goldman-Rakic, P. S. (1999). Isodirectional tuning of adjacent interneurons and pyramidal cells during working memory: Evidence for microcolumnar organization in PFC. Journal of Neurophysiology, 81, 1903–1916.
Robbins, T.W., Shallice, T., Burgess, P.W., James, M., Rogers, R.D., Warburton, E., & Wise, R. S. J. (1995). Selective impairments in self-ordered working memory in a patient with a unilateral striatal lesion. Neurocase, 1, 217–230.
Schneider, J. S. (1987). Basal ganglia-motor influences: Role of sensory gating. In J. S. Schneider & T. I. Lidsky (Eds.), Basal ganglia and behavior: Sensory aspects of motor functioning (pp. 103–121). Toronto: Hans Huber.
Schultz, W., Apicella, P., & Ljungberg, T. (1993). Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task. Journal of Neuroscience, 13, 900–913.
Schultz, W., Apicella, P., Romo, R., & Scarnati, E. (1995). Context-dependent activity in primate striatum reflecting past and future behavioral events. In J. C. Houk, J. L. Davis, & D. G. Beiser (Eds.), Models of information processing in the basal ganglia (pp. 11–28). Cambridge, MA: MIT Press.
Schultz, W., Dayan, P., & Montague, P. R. (1997, March). A neural substrate of prediction and reward. Science, 275, 1593–1599.
Schultz, W., Romo, R., Ljungberg, T., Mirenowicz, J., Hollerman, J. R., & Dickinson, A. (1995). Reward-related signals carried by dopamine neurons. In J. C. Houk, J. L. Davis, & D. G. Beiser (Eds.), Models of information processing in the basal ganglia (pp. 233–248). Cambridge, MA: MIT Press.
Seung, H. S. (1998). Continuous attractors and oculomotor control. Neural Networks, 11, 1253–1258.
Shallice, T. (1988). From neuropsychology to mental structure. New York: Cambridge University Press.
Shima, K., & Tanji, J. (1998). Both supplementary and presupplementary motor areas are crucial for the temporal organization of multiple movements. Journal of Neurophysiology, 80, 3247–3260.
Smith, E. E., & Jonides, J. (1997). Working memory: A view from neuroimaging. Cognitive Psychology, 33, 5–42.
Surmeier, D. J., & Kitai, S. T. (1999). D1 and D2 modulation of sodium and potassium currents in rat neostriatal neurons. Progress in Brain Research, 99, 309–324.
Tanaka, S., & Okada, S. (1999). Functional prefrontal cortical circuitry for visuospatial working memory formation: A computational model. Neurocomputing, 26, 891–899.
Taylor, J. G., & Taylor, N. R. (2000). Analysis of recurrent corticobasal ganglia-thalamic loops for working memory. Biological Cybernetics, 82, 415–432.
Trepanier, L. L., Saint-Cyr, J. A., Lozano, A. M., & Lang, A. E. (1998). Neuropsychological consequences of posteroventral pallidotomy for the treatment of Parkinson’s disease. Neurology, 51, 207–215.
Tsung, F.-S., & Cottrell, G. W. (1993). Learning simple arithmetic procedures. Connection Science, 5, 37–58.
Wang, X.-J. (1999). Synaptic basis of cortical persistent activity: The importance of NMDA receptors to working memory. Journal of Neuroscience, 19, 9587–9603.
Watanabe, M. (1992). Frontal units of the monkey coding the associative significance of visual and auditory stimuli. Experimental Brain Research, 89, 233–247.
Wickens, J. [R.] (1993). A theory of the striatum. Oxford: Pergamon Press.
Wickens, J. [R.] (1997). Basal ganglia: Structure and computations. Network: Computation in Neural Systems, 8, R77-R109.
Wickens, J. R., Kotter, R., & Alexander, M. E. (1995). Effects of local connectivity on striatal function: Simulation and analysis of a model. Synapse, 20, 281–298.
Wilson, C. J. (1993). The generation of natural firing patterns in neostriatal neurons. In G. W. Arbuthnott & P. C. Emson (Eds.), Chemical signalling in the basal ganglia (Progress in Brain Research, Vol. 99, pp. 277–297). Amsterdam: Elsevier.
Wilson, F. A. W., Scalaidhe, S. P. O., & Goldman-Rakic, P. S. (1993). Dissociation of object and spatial processing domains in primate prefrontal cortex. Science, 260, 1955–1957.
Wise, S. P. (1985). The primate premotor cortex: Past, present, and preparatory. Annual Review of Neuroscience, 8, 1–19.
Wise, S. P., Murray, E.A., & Gerfen, C. R. (1996). The frontal cortex-basal ganglia system in primates. Critical Reviews in Neurobiology, 10, 317–356.
Zipser, D. (1991). Recurrent network model of the neural mechanism of short-term active memory. Neural Computation, 3, 179–193.
Zipser, D., Kehoe, B., Littlewort, G., & Fuster, J. (1993). A spiking network model of short-term active memory. Journal of Neuroscience, 13, 3406–3420.
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Versions of this material provided partial fulfillment of master’s theses for M.J.F. and B.L. This work was supported by NIH Program Project Grant MH47566, NSF Grant IBN-9873492, and ONR Grant N00014-00-1-0246.
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Frank, M.J., Loughry, B. & O’Reilly, R.C. Interactions between frontal cortex and basal ganglia in working memory: A computational model. Cognitive, Affective, & Behavioral Neuroscience 1, 137–160 (2001). https://doi.org/10.3758/CABN.1.2.137
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DOI: https://doi.org/10.3758/CABN.1.2.137