Abstract
Although dopamine is one of the most studied neurotransmitter in the brain, its exact function is still unclear. This short review focuses on its role in different levels of cognitive vision: visual processing, visual attention and working memory. Dopamine can influence cognitive vision either through direct modulation of visual cells or through gating of basal ganglia functioning. Even if its classically assigned role is to signal reward prediction error, we review evidence that dopamine is also involved in novelty detection and attention shifting and discuss the possible implications for computational modeling.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Nieoullon, A.: Dopamine and the regulation of cognition and attention. Prog Neurobiol. 67(1), 53–83 (2002)
Hurd, Y.L., Suzuki, M., Sedvall, G.C.: D1 and D2 dopamine receptor mRNA expression in whole hemisphere sections of the human brain. J. Chem. Neuroanat. 22(1-2), 127–137 (2001)
Yang, C.R., Seamans, J.K.: Dopamine D1 receptor actions in layers V-VI rat prefrontal cortex neurons in vitro: modulation of dendritic-somatic signal integration. J. Neurosci. 16(5), 1922–1935 (1996)
Seamans, J.K, Yang, C.R: The principal features and mechanisms of dopamine modulation in the prefrontal cortex. Prog. Neurobiol. 74(1), 1–58 (2004)
Witkovsky, P.: Dopamine and retinal function. Doc. Ophthalmol. 108(1), 17–40 (2004)
Reader, T.A., Quesney, L.F.: Dopamine in the visual cortex of the cat. Experientia 42(11-12), 1242–1244 (1986)
Müller, C.P., Huston, J.P.: Dopamine activity in the occipital and temporal cortices of rats: dissociating effects of sensory but not pharmacological stimulation. Synapse 61(4), 254–258 (2007)
Carpenter, G.A., Grossberg, S.: A massively parallel architecture for a self-organizing neural pattern recognition machine. Comput. Vis. Graphs Image Proc. 37, 54–115 (1987)
Mogami, T., Tanaka, K.: Reward association affects neuronal responses to visual stimuli in macaque te and perirhinal cortices. J. Neurosci. 26(25), 6761–6770 (2006)
Rolls, E.T., Judge, S.J., Sanghera, M.K.: Activity of neurones in the inferotemporal cortex of the alert monkey. Brain Res. 130(2), 229–238 (1977)
Thorpe, S.J., Rolls, E.T., Maddison, S.: The orbitofrontal cortex: neuronal activity in the behaving monkey. Exp. Brain Res. 49(1), 93–115 (1983)
Liu, Z., Richmond, B.J, Murray, E.A, Saunders, R.C, Steenrod, S., Stubblefield, B.K, Montague, D.M, Ginns, E.I: DNA targeting of rhinal cortex D2 receptor protein reversibly blocks learning of cues that predict reward. Proc. Natl. Acad. Sci. 101(33), 12336–12341 (2004)
Vitay, J., Hamker, F.H.: Sustained activities and retrieval in a computational model of perirhinal cortex. Submitted to J. Cog. Neurosci. (June 2007)
Ranganath, C., D’Esposito, M.: Directing the mind’s eye: prefrontal, inferior and medial temporal mechanisms for visual working memory. Curr. Opin. Neurobiol. 15(2), 175–182 (2005)
Buckley, M.J., Gaffan, D.: Perirhinal cortex ablation impairs visual object identification. J. Neurosci. 18(6), 2268–2275 (1998)
Miller, E.K., Gochin, P.M., Gross, C.G.: Suppression of visual responses of neurons in inferior temporal cortex of the awake macaque monkey by addition of a second stimulus. Brain Res. 616, 25–29 (1993)
Hamker, F.H., Wiltschut, J.: Homeostatic scaling and hebbian learning in dynamic rate-coded neurons (in preparation, 2007)
Hamker, F.H: The reentry hypothesis: the putative interaction of the frontal eye field, ventrolateral prefrontal cortex, and areas V4, IT for attention and eye movement. Cereb Cortex 15(4), 431–447 (2005)
Schultz, W., Dayan, P., Montague, P.R.: A neural substrate of prediction and reward. Science 275(5306), 1593–1599 (1997)
Nakamura, K., Ono, T.: Lateral hypothalamus neuron involvement in integration of natural and artificial rewards and cue signals. J. Neurophysiol. 55(1), 163–181 (1986)
Semba, K., Fibiger, H.C.: Afferent connections of the laterodorsal and the pedunculopontine tegmental nuclei in the rat: a retro- and antero-grade transport and immunohistochemical study. J. Comp. Neurol. 323(3), 387–410 (1992)
Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA (1998)
Houk, J.C., Adams, J.L., Barto, A.G.: A model of how the basal ganglia generate and use neural signal that predict reinforcement. In: Houk, J.C., Davis, J.L., Beiser, D.G. (eds.) Models of information processing in the basal ganglia, The MIT Press, Cambridge, MA (1995)
Suri, R.E., Schultz, W.: Temporal difference model reproduces anticipatory neural activity. Neural Comput. 13(4), 841–862 (2001)
Daw, N.D, Touretzky, D.S: Long-term reward prediction in td models of the dopamine system. Neural Comput. 14(11), 2567–2583 (2002)
Kirkpatrick, K., Church, R.M.: Stimulus and temporal cues in classical conditioning. J. Exp. Psychol. Anim. Behav. Process 26(2), 206–219 (2000)
Brown, J., Bullock, D., Grossberg, S.: How the basal ganglia use parallel excitatory and inhibitory learning pathways to selectively respond to unexpected rewarding cues. J. Neurosci. 19(23), 10502–10511 (1999)
O’Reilly, R.C., Frank, M.J.: Making working memory work: A computational model of learning in the frontal cortex and basal ganglia. Neur. Comput. 18, 283–328 (2006)
Horvitz, J.C.: Mesolimbocortical and nigrostriatal dopamine responses to salient non-reward events. Neuroscience 96(4), 651–656 (2000)
Cheng, K., Saleem, K.S., Tanaka, K.: Organization of corticostriatal and corticoamygdalar projections arising from the anterior inferotemporal area te of the macaque monkey: a phaseolus vulgaris leucoagglutinin study. J. Neurosci. 17(20), 7902–7925 (1997)
Redgrave, P., Gurney, K.: The short-latency dopamine signal: a role in discovering novel actions? Nat. Rev. Neurosci. 7(12), 967–975 (2006)
Coizet, V., Comoli, E., Westby, G.W.M., Redgrave, P.: Phasic activation of substantia nigra and the ventral tegmental area by chemical stimulation of the superior colliculus: an electrophysiological investigation in the rat. Eur. J. Neurosci. 17(1), 28–40 (2003)
Dommett, E., Coizet, V., Blaha, C.D., Martindale, J., Lefebvre, V., Walton, N., Mayhew, J.E.W., Overton, P.G., Redgrave, P.: How visual stimuli activate dopaminergic neurons at short latency. Science 307(5714), 1476–1479 (2005)
Oyster, C.W., Takahashi, E.S.: Responses of rabbit superior colliculus neurons to repeated visual stimuli. J. Neurophysiol. 38(2), 301–312 (1975)
Wurtz, R.H., Albano, J.E.: Visual-motor function of the primate superior colliculus. Annu. Rev. Neurosci. 3, 189–226 (1980)
Ljungberg, T., Ungerstedt, U.: Sensory inattention produced by 6-hydroxydopamine-induced degeneration of ascending dopamine neurons in the brain. Exp. Neurol. 53(3), 585–600 (1976)
Hikosaka, O., Takikawa, Y., Kawagoe, R.: Role of the basal ganglia in the control of purposive saccadic eye movements. Physiol. Rev. 80(3), 953–978 (2000)
Hikosaka, O., Nakamura, K., Nakahara, H.: Basal ganglia orient eyes to reward. J. Neurophysiol. 95(2), 567–584 (2006)
Sommer, M.A, Wurtz, R.H: Influence of the thalamus on spatial visual processing in frontal cortex. Nature 444(7117), 374–377 (2006)
Alexander, G.E., Crutcher, M.D., DeLong, M.R.: Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, ”prefrontal” and ”limbic” functions. Prog. Brain Res. 85, 119–146 (1990)
Moore, T., Fallah, M.: Control of eye movements and spatial attention. Proc. Natl. Acad. Sci. 98(3), 1273–1276 (2001)
Rizzolatti, G., Riggio, L., Dascola, I., Ulmita, C.: Reorienting attention across the horizontal and vertical meridians: Evidence in favor of a premotor theory of attention. Neuropsychol. 25, 31–40 (1987)
Silkis, I.: A hypothetical role of cortico-basal ganglia-thalamocortical loops in visual processing. Biosystems 89(1-3), 227–235 (2007)
Matsumoto, N., Minamimoto, T., Graybiel, A.M., Kimura, M.: Neurons in the thalamic CM-Pf complex supply striatal neurons with information about behaviorally significant sensory events. J. Neurophysiol. 85(2), 960–976 (2001)
Lange, K.W., Robbins, T.W., Marsden, C.D., James, M., Owen, A.M., Paul, G.M.: L-dopa withdrawal in parkinson’s disease selectively impairs cognitive performance in tests sensitive to frontal lobe dysfunction. Psychopharmacology (Berl) 107(2-3), 394–404 (1992)
Kori, A., Miyashita, N., Kato, M., Hikosaka, O., Usui, S., Matsumura, M.: Eye movements in monkeys with local dopamine depletion in the caudate nucleus. ii. deficits in voluntary saccades. J. Neurosci. 15(1 Pt 2), 928–941 (1995)
Goldman-Rakic, P.S.: Cellular basis of working memory. Neuron. 14(3), 477–485 (1995)
Fuster, J.M., Alexander, G.E.: Neuron activity related to short-term memory. Science 173, 652–654 (1971)
Alexander, G.E.: Selective neuronal discharge in monkey putamen reflects intended direction of planned limb movements. Exp. Brain Res. 67(3), 623–634 (1987)
Courtney, S.M., Ungerleider, L.G., Keil, K., Haxby, J.V.: Transient and sustained activity in a distributed neural system for human working memory. Nature 386(6625), 608–611 (1997)
Braver, T.S., Barch, D.M., Cohen, J.D.: Cognition and control in schizophrenia: A computational model of dopamine and prefrontal function. Biol. Psychiatry 46(3), 312–328 (1999)
Durstewitz, D., Seamans, J.K., Sejnowski, T.J.: Neurocomputational models of working memory. Nat. Neurosci. Supp. 3, 1184–1191 (2000)
Compte, A., Brunel, N., Goldman-Rakic, P.S., Wang, X.J.: Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cereb. Cortex 10(9), 910–923 (2000)
Brunel, N., Wang, X.J.: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. J. Comput. Neurosci. 11(1), 63–85 (2001)
Dreher, J.C., Guigon, E., Burnod, Y.: A model of prefrontal cortex dopaminergic modulation during the delayed alternation task. J. Cogn. Neurosci. 14(6), 853–865 (2002)
Frank, M.J., Loughry, B., O’Reilly, R.C.: Interactions between frontal cortex and basal ganglia in working memory: a computational model. Cogn. Affect Behav. Neurosci. 1(2), 137–160 (2001)
Postle, B.R., D’Esposito, M.: Dissociation of human caudate nucleus activity in spatial and nonspatial working memory: an event-related fmri study. Brain Res. Cogn. Brain Res. 8(2), 107–115 (1999)
Lewis, S.J G, Dove, A., Robbins, T.W, Barker, R.A, Owen, A.M: Striatal contributions to working memory: a functional magnetic resonance imaging study in humans. Eur. J. Neurosci. 19(3), 755–760 (2004)
Wilson, C.J., Kawaguchi, Y.: The origins of two-state spontaneous membrane potential fluctuations of neostriatal spiny neurons. J. Neurosci. 16(7), 2397–2410 (1996)
Middleton, F.A, Strick, P.L: Basal-ganglia ’projections’ to the prefrontal cortex of the primate. Cereb Cortex 12(9), 926–935 (2002)
Ashby, F.G., Ell, S.W, Valentin, V.V, Casale, M.B: Frost: a distributed neurocomputational model of working memory maintenance. J. Cogn. Neurosci. 17(11), 1728–1743 (2005)
Gruber, A.J, Dayan, P., Gutkin, B.S, Solla, S.A: Dopamine modulation in the basal ganglia locks the gate to working memory. J. Comput. Neurosci. 20(2), 153–166 (2006)
Funahashi, S., Bruce, C.J., Goldman-Rakic, P.S.: Mnemonic coding of visual space in the monkey’s dorsolateral prefrontal cortex. J. Neurophysiol. 61, 331–349 (1989)
Koch, C., Ullman, S.: Shifts in selective visual attention: towards the underlying neural circuitry. Hum. Neurobiol. 4, 219–227 (1985)
Desimone, R., Duncan, J.: Neural mechanisms of selective visual attention. Ann. Rev. Neurosci. 18, 193–222 (1995)
Itti, L., Koch, C.: Computational modelling of visual attention. Nat. Rev. Neurosci. 2, 1–10 (2001)
Deco, G., Rolls, E.T: A neurodynamical cortical model of visual attention and invariant object recognition. Vision Res. 44(6), 621–642 (2004)
Luck, S.J., Vogel, E.K.: The capacity of visual working memory for features and conjunctions. Nature 390(6657), 279–281 (1997)
Lee, D., Chun, M.M.: What are the units of visual short-term memory, objects or spatial locations? Percept Psychophys. 63(2), 253–257 (2001)
Ranganath, C.: Working memory for visual objects: complementary roles of inferior temporal, medial temporal, and prefrontal cortex. Neurosci. 139(1), 277–289 (2006)
Supèr, H., Spekreijse, H., Lamme, V.A.: A neural correlate of working memory in the monkey primary visual cortex. Science 293(5527), 120–124 (2001)
Rolls, E.T.: Hippocampo-cortical and cortico-cortical backprojections. Hippocampus 10(4), 380–388 (2000)
Sakai, K., Rowe, J.B., Passingham, R.E.: Active maintenance in prefrontal area 46 creates distractor-resistant memory. Nat. Neurosci. 5(5), 479–484 (2002)
D’Esposito, M., Postle, B.R., Ballard, D., Lease, J.: Maintenance versus manipulation of information held in working memory: an fMRI study. Brain and Cognition 41, 66–86 (1999)
Parent, A., Cicchetti, F.: The current model of basal ganglia organization under scrutiny. Mov. Disord. 13(2), 199–202 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vitay, J., Hamker, F.H. (2007). On the Role of Dopamine in Cognitive Vision. In: Paletta, L., Rome, E. (eds) Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. WAPCV 2007. Lecture Notes in Computer Science(), vol 4840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77343-6_23
Download citation
DOI: https://doi.org/10.1007/978-3-540-77343-6_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77342-9
Online ISBN: 978-3-540-77343-6
eBook Packages: Computer ScienceComputer Science (R0)